model stringclasses 5
values | model_params_total_b int64 8 35 | model_params_active_b float64 3 9 | quant stringclasses 1
value | architecture stringclasses 4
values | vram_used_gb float64 1.8 7.2 | tok_s int64 35 64 ⌀ | framework stringclasses 3
values | reasoning_mode stringclasses 5
values | task stringlengths 3 18 | task_difficulty stringclasses 3
values | task_description stringlengths 48 118 | context_window int64 16.4k 41k | max_output_tokens int64 2.05k 8.19k | wall_clock_min float64 0.1 87 ⌀ | status stringclasses 5
values | tool_call_reliability stringclasses 4
values | failure_mode stringclasses 6
values | code_quality stringclasses 2
values | notes stringlengths 57 394 | hardware stringclasses 2
values | date timestamp[s]date 2026-05-18 00:00:00 2026-05-22 00:00:00 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Qwopus3.5-9B-Coder | 9 | 9 | Q4_K_M | dense | 5.3 | 43 | hermes-agent | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 2.5 | completed | partial | null | good | code works, all tool calls succeeded for this simple task | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwopus3.5-9B-Coder | 9 | 9 | Q4_K_M | dense | 5.3 | 43 | hermes-agent | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | 15 | failed | broken | 9 consecutive patch tool JSON failures: model omits required 'path' field in structured tool call output. 9B params insufficient for reliable structured JSON generation. | good | initial file creation worked, model failed on every subsequent edit/patch attempt | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | hermes-agent | on | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 49 | completed | reliable | null | good | thinking tokens consumed most of the generation budget, massive overhead per API call (160-240s each) | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | hermes-agent | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 18 | completed | reliable | null | good | 2.7x faster than thinking mode on same model. --reasoning off flag in llama-server. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | hermes-agent | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | 18 | context_exceeded | reliable | conversation exceeded 32K context window during debug loop. model was actively debugging a real timing bug when context ran out. | good | created all files (363-line logpulse.py, 171-line generator, README). found genuine bug in tailer timing. hit server context limit, not model failure. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | hermes-agent | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 40,960 | 8,192 | 87 | killed | reliable | user killed after 87 minutes, task still running. not a model failure, just too slow for practical use. | good | retry with bumped context (40K). model was still working when killed. expert offload latency (2-5s per API call) compounds across 20-50+ agent turns. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
Qwopus3.5-9B-Coder | 9 | 9 | Q4_K_M | dense | 5.3 | 43 | pi | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 8 | partial | partial | code created and runs correctly (0.3s scan). model got stuck in infinite reasoning loop during test verification, repeating same grep command. user killed. | good | different framework (Pi: read/write/edit/bash tools), same model. failure mode changed from JSON structural (Hermes) to reasoning loop (Pi). 9B limitation persists across frameworks. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 3 | completed | reliable | null | good | OpenAI's first open-weights MoE. fast completion, clean code, all tool calls worked. only 1.8 GB VRAM with ncmoe=30. minor self-correction (duplicate main call, fixed immediately). | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | 5 | completed | reliable | null | good | completed the hard task that broke every other model. created logpulse.py (112 lines), generate_log.py (34 lines), README.md (59 lines). all pass syntax check. only 26% context used (8.5K of 33K). first model to complete both tasks on 8GB VRAM. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | bugfix | easy | find and fix a Python bug in existing code (dict.values vs dict.values()) | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 1/8. 13% context used. 0 self-fixes. rumination on shebang and variable naming wasted tokens but did not cause failures. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | feature-add | medium | add CLI flags (--range, --json) and service name lookup to existing port scanner | 32,768 | 8,192 | null | completed | partial | null | good | deep-dive prompt 2/8. context compacted during task. 2 self-fixes: hallucinated json.__stdout__ module (self-corrected to sys.stdout), edit tool matching failed 3 times before full rewrite. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | tdd | medium | build a calculator module with unit tests using TDD workflow | 32,768 | 8,192 | null | completed | partial | null | good | deep-dive prompt 3/8. context compacted during task. 2 self-fixes: used eval() shortcut (functional but risky), ran ls -R ~ dumping 11K lines into context. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | data-pipeline | medium | parse Linux /proc filesystem and output structured JSON with CPU, memory, and process info | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 4/8. 19.7% context used. 0 self-fixes. cleanest run, proper /proc parsing, real system data output. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | hallucination-trap | easy | fetch HTTPS URL using only stdlib (http.client), parse JSON, retry with backoff | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 5/8. 6.3% context used. 0 self-fixes. no hallucinated modules, used real stdlib (http.client, json, time, urllib.parse). cleanest run overall. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | error-recovery | medium | handle missing config file, create sensible defaults, read back and validate all required fields | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 6/8. 16.8% context used. 1 self-fix: sed quoting bug when extracting YAML values via bash grep/sed. chose bash-only approach over Python yaml parsing. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | multi-module | hard | create task runner with topological sort dependency resolution, YAML-like config parser, and unit tests across 3 files | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 7/8. 47.6% context used (highest). 1 self-fix: topological sort direction was backwards (Kahn's algorithm edge confusion), fixed with reversed(). also ran ls -R from home dumping 11K+ lines. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | bash-scripting | medium | write bash script to summarize git repo (branch, commits, files, LOC), make executable, test on real repo | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 8/8. 23% context used. 1 self-fix: printf format string missing %s placeholder, commit messages silently dropped. 4 failed edit attempts before fixing. ran find / taking 340s. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | fibonacci | easy | write a Python function returning nth Fibonacci number using memoization with type hints | 16,384 | 2,048 | 0.2 | completed | n/a | null | good | GBNF structured CoT grammar (GOAL/APPROACH/EDGE). 365 tokens, 12.2s. reasoning: 836 chars (3 structured lines). code: valid Python, correct lru_cache implementation. grammar constrains full output stream including reasoning_content. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | free | fibonacci | easy | write a Python function returning nth Fibonacci number using memoization with type hints | 16,384 | 2,048 | 1.1 | completed | n/a | null | poor | free-form generation, no grammar. 2048 tokens (hit max_tokens limit). 7360 chars reasoning, 0 chars code. model burned entire token budget ruminating, never produced an answer. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | fizzbuzz_variant | easy | write a Python function replacing multiples of 3/5 with Fizz/Buzz/FizzBuzz in a list | 16,384 | 2,048 | 0.1 | completed | n/a | null | good | GBNF structured CoT grammar. 179 tokens, 5.9s. reasoning: 278 chars. valid Python, correct implementation. 11.4x token compression vs free-form. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | free | fizzbuzz_variant | easy | write a Python function replacing multiples of 3/5 with Fizz/Buzz/FizzBuzz in a list | 16,384 | 2,048 | 1.1 | completed | n/a | null | poor | free-form, no grammar. 2048 tokens (hit max_tokens). 6613 chars reasoning, code buried in reasoning output. massively inefficient. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | flatten_dict | easy | write a Python function to flatten a nested dictionary with dot-separated keys | 16,384 | 2,048 | 0.3 | completed | n/a | null | good | GBNF structured CoT grammar. 450 tokens, 15.2s. reasoning: 241 chars. valid Python, correct recursive implementation. 4.6x token compression vs free-form. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | free | flatten_dict | easy | write a Python function to flatten a nested dictionary with dot-separated keys | 16,384 | 2,048 | 1.1 | completed | n/a | null | poor | free-form, no grammar. 2048 tokens (hit max_tokens). 7567 chars reasoning, 0 chars code. model never produced code output. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | topo_sort | hard | write a topological sort function with cycle detection and type hints | 16,384 | 4,096 | 0.3 | completed | n/a | null | good | GBNF structured CoT grammar on hard task. 437 tokens, 15.0s. reasoning: 441 chars. valid Python, correct Kahn's algorithm with ValueError on cycle. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-5field | topo_sort | hard | write a topological sort function with cycle detection and type hints | 16,384 | 4,096 | 0.3 | completed | n/a | null | good | GBNF 5-field grammar (GOAL/STATE/ALGO/EDGE/VERIFY). 545 tokens, 17.2s. reasoning: 876 chars. caught node-collection edge case. marginal improvement over 3-field. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | lru_cache | hard | implement LRU cache with O(1) get/put using doubly linked list and hash map with type hints | 16,384 | 4,096 | 0.5 | completed | n/a | null | good | GBNF structured CoT grammar on hard DS task. 964 tokens, 31.8s. reasoning: 492 chars. valid Python, correct doubly-linked list + dict implementation. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-5field | lru_cache | hard | implement LRU cache with O(1) get/put using doubly linked list and hash map with type hints | 16,384 | 4,096 | 0.5 | completed | n/a | null | good | GBNF 5-field grammar. 930 tokens, 29.3s. reasoning: 589 chars. uses __slots__ optimisation. marginally more efficient than 3-field. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | merge_intervals | hard | write a function to merge overlapping intervals with type hints and edge case handling | 16,384 | 4,096 | 0.2 | completed | n/a | null | good | GBNF structured CoT grammar. 319 tokens, 11.5s. reasoning: 298 chars. valid Python, correct sort-and-merge implementation. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-5field | merge_intervals | hard | write a function to merge overlapping intervals with type hints and edge case handling | 16,384 | 4,096 | 0.2 | completed | n/a | null | good | GBNF 5-field grammar. 341 tokens, 10.8s. reasoning: 302 chars. nearly identical output to 3-field. extra fields add minimal value for simpler algorithms. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
OmniCoder-9B | 9 | 9 | Q4_K_M | dense | 5.6 | 42 | pi | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 1 | completed | reliable | null | good | Tesslate OmniCoder-9B (based on Qwen3.5-9B, fine-tuned on 425K agentic trajectories). bartowski imatrix Q4_K_M. fastest completion of any model tested: clean one-shot, 83-line Python with ThreadPoolExecutor, as_completed, argparse, input validation. no self-fixes needed. -rea off flag required (thinking mode burns all ... | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
OmniCoder-9B | 9 | 9 | Q4_K_M | dense | 5.6 | 42 | pi | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | null | partial | reliable | code generation good (3 files created in one shot) but agent got stuck running blocking tail-f command without timeout. after user interruption, entered 457s+ generation loop. same failure pattern as Qwopus 9B on Pi. | good | all 3 files created cleanly: logpulse.py (111 lines, class-based watcher), generate_log.py (127 lines, configurable generator), README.md. two bugs: update_stats() double-reads file (calls read_new_lines again), generator only produces one log level per run instead of mixed. code structure and quality comparable to gpt... | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Gemma-4-E4B-it | 8 | 4 | Q4_K_M | dense_ple | 4.2 | 64 | pi | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 0.5 | completed | reliable | null | good | fastest portscout ever (30s). 4 tool calls, 1 self-fix (python->python3). clean ThreadPoolExecutor code on first write. 88-line script, correct. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-22T00:00:00 |
Gemma-4-E4B-it | 8 | 4 | Q4_K_M | dense_ple | 4.2 | 64 | pi | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | 1 | partial | reliable | model did not self-test. created all 3 files (logpulse.py, generate_logs.py, README.md) correctly, then told user to test manually in two terminals. code verified working externally. avoided blocking tail-f trap that killed OmniCoder and Qwopus. | good | 4 tool calls, 0 errors. 131-line logpulse.py with argparse, deque-based rolling window, Counter, regex alerts. all features present. smart avoidance of blocking command but prompt explicitly asked for self-test. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-22T00:00:00 |
Qwopus3.5-9B-Coder | 9 | 9 | Q4_K_M | dense | 5.3 | 43 | hermes-agent | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 2.5 | completed | partial | null | good | code works, all tool calls succeeded for this simple task | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwopus3.5-9B-Coder | 9 | 9 | Q4_K_M | dense | 5.3 | 43 | hermes-agent | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | 15 | failed | broken | 9 consecutive patch tool JSON failures: model omits required 'path' field in structured tool call output. 9B params insufficient for reliable structured JSON generation. | good | initial file creation worked, model failed on every subsequent edit/patch attempt | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | hermes-agent | on | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 49 | completed | reliable | null | good | thinking tokens consumed most of the generation budget, massive overhead per API call (160-240s each) | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | hermes-agent | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 18 | completed | reliable | null | good | 2.7x faster than thinking mode on same model. --reasoning off flag in llama-server. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | hermes-agent | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | 18 | context_exceeded | reliable | conversation exceeded 32K context window during debug loop. model was actively debugging a real timing bug when context ran out. | good | created all files (363-line logpulse.py, 171-line generator, README). found genuine bug in tailer timing. hit server context limit, not model failure. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-18T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | hermes-agent | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 40,960 | 8,192 | 87 | killed | reliable | user killed after 87 minutes, task still running. not a model failure, just too slow for practical use. | good | retry with bumped context (40K). model was still working when killed. expert offload latency (2-5s per API call) compounds across 20-50+ agent turns. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
Qwopus3.5-9B-Coder | 9 | 9 | Q4_K_M | dense | 5.3 | 43 | pi | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 8 | partial | partial | code created and runs correctly (0.3s scan). model got stuck in infinite reasoning loop during test verification, repeating same grep command. user killed. | good | different framework (Pi: read/write/edit/bash tools), same model. failure mode changed from JSON structural (Hermes) to reasoning loop (Pi). 9B limitation persists across frameworks. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 3 | completed | reliable | null | good | OpenAI's first open-weights MoE. fast completion, clean code, all tool calls worked. only 1.8 GB VRAM with ncmoe=30. minor self-correction (duplicate main call, fixed immediately). | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | 5 | completed | reliable | null | good | completed the hard task that broke every other model. created logpulse.py (112 lines), generate_log.py (34 lines), README.md (59 lines). all pass syntax check. only 26% context used (8.5K of 33K). first model to complete both tasks on 8GB VRAM. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | bugfix | easy | find and fix a Python bug in existing code (dict.values vs dict.values()) | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 1/8. 13% context used. 0 self-fixes. rumination on shebang and variable naming wasted tokens but did not cause failures. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | feature-add | medium | add CLI flags (--range, --json) and service name lookup to existing port scanner | 32,768 | 8,192 | null | completed | partial | null | good | deep-dive prompt 2/8. context compacted during task. 2 self-fixes: hallucinated json.__stdout__ module (self-corrected to sys.stdout), edit tool matching failed 3 times before full rewrite. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | tdd | medium | build a calculator module with unit tests using TDD workflow | 32,768 | 8,192 | null | completed | partial | null | good | deep-dive prompt 3/8. context compacted during task. 2 self-fixes: used eval() shortcut (functional but risky), ran ls -R ~ dumping 11K lines into context. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | data-pipeline | medium | parse Linux /proc filesystem and output structured JSON with CPU, memory, and process info | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 4/8. 19.7% context used. 0 self-fixes. cleanest run, proper /proc parsing, real system data output. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | hallucination-trap | easy | fetch HTTPS URL using only stdlib (http.client), parse JSON, retry with backoff | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 5/8. 6.3% context used. 0 self-fixes. no hallucinated modules, used real stdlib (http.client, json, time, urllib.parse). cleanest run overall. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | error-recovery | medium | handle missing config file, create sensible defaults, read back and validate all required fields | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 6/8. 16.8% context used. 1 self-fix: sed quoting bug when extracting YAML values via bash grep/sed. chose bash-only approach over Python yaml parsing. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | multi-module | hard | create task runner with topological sort dependency resolution, YAML-like config parser, and unit tests across 3 files | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 7/8. 47.6% context used (highest). 1 self-fix: topological sort direction was backwards (Kahn's algorithm edge confusion), fixed with reversed(). also ran ls -R from home dumping 11K+ lines. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
gpt-oss-20b | 21 | 3.6 | Q4_K_M | moe | 1.8 | null | pi | off | bash-scripting | medium | write bash script to summarize git repo (branch, commits, files, LOC), make executable, test on real repo | 32,768 | 8,192 | null | completed | reliable | null | good | deep-dive prompt 8/8. 23% context used. 1 self-fix: printf format string missing %s placeholder, commit messages silently dropped. 4 failed edit attempts before fixing. ran find / taking 340s. | RTX 4060 Ti 8GB, i7-14700F, 32GB DDR5, WSL2 | 2026-05-19T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | fibonacci | easy | write a Python function returning nth Fibonacci number using memoization with type hints | 16,384 | 2,048 | 0.2 | completed | n/a | null | good | GBNF structured CoT grammar (GOAL/APPROACH/EDGE). 365 tokens, 12.2s. reasoning: 836 chars (3 structured lines). code: valid Python, correct lru_cache implementation. grammar constrains full output stream including reasoning_content. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | free | fibonacci | easy | write a Python function returning nth Fibonacci number using memoization with type hints | 16,384 | 2,048 | 1.1 | completed | n/a | null | poor | free-form generation, no grammar. 2048 tokens (hit max_tokens limit). 7360 chars reasoning, 0 chars code. model burned entire token budget ruminating, never produced an answer. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | fizzbuzz_variant | easy | write a Python function replacing multiples of 3/5 with Fizz/Buzz/FizzBuzz in a list | 16,384 | 2,048 | 0.1 | completed | n/a | null | good | GBNF structured CoT grammar. 179 tokens, 5.9s. reasoning: 278 chars. valid Python, correct implementation. 11.4x token compression vs free-form. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | free | fizzbuzz_variant | easy | write a Python function replacing multiples of 3/5 with Fizz/Buzz/FizzBuzz in a list | 16,384 | 2,048 | 1.1 | completed | n/a | null | poor | free-form, no grammar. 2048 tokens (hit max_tokens). 6613 chars reasoning, code buried in reasoning output. massively inefficient. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | flatten_dict | easy | write a Python function to flatten a nested dictionary with dot-separated keys | 16,384 | 2,048 | 0.3 | completed | n/a | null | good | GBNF structured CoT grammar. 450 tokens, 15.2s. reasoning: 241 chars. valid Python, correct recursive implementation. 4.6x token compression vs free-form. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | free | flatten_dict | easy | write a Python function to flatten a nested dictionary with dot-separated keys | 16,384 | 2,048 | 1.1 | completed | n/a | null | poor | free-form, no grammar. 2048 tokens (hit max_tokens). 7567 chars reasoning, 0 chars code. model never produced code output. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | topo_sort | hard | write a topological sort function with cycle detection and type hints | 16,384 | 4,096 | 0.3 | completed | n/a | null | good | GBNF structured CoT grammar on hard task. 437 tokens, 15.0s. reasoning: 441 chars. valid Python, correct Kahn's algorithm with ValueError on cycle. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-5field | topo_sort | hard | write a topological sort function with cycle detection and type hints | 16,384 | 4,096 | 0.3 | completed | n/a | null | good | GBNF 5-field grammar (GOAL/STATE/ALGO/EDGE/VERIFY). 545 tokens, 17.2s. reasoning: 876 chars. caught node-collection edge case. marginal improvement over 3-field. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | lru_cache | hard | implement LRU cache with O(1) get/put using doubly linked list and hash map with type hints | 16,384 | 4,096 | 0.5 | completed | n/a | null | good | GBNF structured CoT grammar on hard DS task. 964 tokens, 31.8s. reasoning: 492 chars. valid Python, correct doubly-linked list + dict implementation. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-5field | lru_cache | hard | implement LRU cache with O(1) get/put using doubly linked list and hash map with type hints | 16,384 | 4,096 | 0.5 | completed | n/a | null | good | GBNF 5-field grammar. 930 tokens, 29.3s. reasoning: 589 chars. uses __slots__ optimisation. marginally more efficient than 3-field. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-3field | merge_intervals | hard | write a function to merge overlapping intervals with type hints and edge case handling | 16,384 | 4,096 | 0.2 | completed | n/a | null | good | GBNF structured CoT grammar. 319 tokens, 11.5s. reasoning: 298 chars. valid Python, correct sort-and-merge implementation. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Qwen3.6-35B-A3B | 35 | 3 | Q4_K_M | moe_ssm_attn | 7.2 | 35 | direct-api | grammar-5field | merge_intervals | hard | write a function to merge overlapping intervals with type hints and edge case handling | 16,384 | 4,096 | 0.2 | completed | n/a | null | good | GBNF 5-field grammar. 341 tokens, 10.8s. reasoning: 302 chars. nearly identical output to 3-field. extra fields add minimal value for simpler algorithms. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
OmniCoder-9B | 9 | 9 | Q4_K_M | dense | 5.6 | 42 | pi | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 1 | completed | reliable | null | good | Tesslate OmniCoder-9B (based on Qwen3.5-9B, fine-tuned on 425K agentic trajectories). bartowski imatrix Q4_K_M. fastest completion of any model tested: clean one-shot, 83-line Python with ThreadPoolExecutor, as_completed, argparse, input validation. no self-fixes needed. -rea off flag required (thinking mode burns all ... | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
OmniCoder-9B | 9 | 9 | Q4_K_M | dense | 5.6 | 42 | pi | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | null | partial | reliable | code generation good (3 files created in one shot) but agent got stuck running blocking tail-f command without timeout. after user interruption, entered 457s+ generation loop. same failure pattern as Qwopus 9B on Pi. | good | all 3 files created cleanly: logpulse.py (111 lines, class-based watcher), generate_log.py (127 lines, configurable generator), README.md. two bugs: update_stats() double-reads file (calls read_new_lines again), generator only produces one log level per run instead of mixed. code structure and quality comparable to gpt... | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-21T00:00:00 |
Gemma-4-E4B-it | 8 | 4 | Q4_K_M | dense_ple | 4.2 | 64 | pi | off | portscout | easy | single-file concurrent port scanner using stdlib | 32,768 | 8,192 | 0.5 | completed | reliable | null | good | fastest portscout ever (30s). 4 tool calls, 1 self-fix (python->python3). clean ThreadPoolExecutor code on first write. 88-line script, correct. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-22T00:00:00 |
Gemma-4-E4B-it | 8 | 4 | Q4_K_M | dense_ple | 4.2 | 64 | pi | off | logpulse | hard | multi-file CLI log watcher with real-time stats, regex alerts, log generator, README, and self-test | 32,768 | 8,192 | 1 | partial | reliable | model did not self-test. created all 3 files (logpulse.py, generate_logs.py, README.md) correctly, then told user to test manually in two terminals. code verified working externally. avoided blocking tail-f trap that killed OmniCoder and Qwopus. | good | 4 tool calls, 0 errors. 131-line logpulse.py with argparse, deque-based rolling window, Counter, regex alerts. all features present. smart avoidance of blocking command but prompt explicitly asked for self-test. | RTX 4060 Ti 8GB, Ryzen 5 7600X, 32GB DDR5, WSL2 | 2026-05-22T00:00:00 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.