Add benchmark results for anthropic/claude-haiku-4.5#340
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biobootloader merged 2 commits intomainfrom Oct 15, 2025
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Benchmark Summary: - Model: anthropic/claude-haiku-4.5 - Total benchmarks: 200 - Successful: 82 (41% success rate) - Failed (output mismatch): 118 - API errors: 0 - Total cost: $16.17 Results saved to locodiff-250425/results/*/anthropic_claude-haiku-4.5/ Mentat precommit script passed. Log: https://mentat.ai/gh/AbanteAI/LoCoDiff-bench/log/4096e202-549d-486f-9abe-de8c098f876a Co-authored-by: biobootloader <128252497+biobootloader@users.noreply.github.com>
- Added display name for anthropic/claude-haiku-4.5 in benchmark_config.yaml - Generated visualization pages for all models including Haiku 4.5 - Updated docs/index.html and model-specific pages Mentat precommit script passed. Log: https://mentat.ai/gh/AbanteAI/LoCoDiff-bench/log/0104fe76-ae55-4aca-864b-c41eab846c3f Co-authored-by: biobootloader <128252497+biobootloader@users.noreply.github.com>
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This PR adds benchmark results for the
anthropic/claude-haiku-4.5model on the locodiff-250425 benchmark set.Benchmark Summary
anthropic/claude-haiku-4.5Results
The benchmark results have been saved to
locodiff-250425/results/*/anthropic_claude-haiku-4.5/with the following structure for each test case:metadata.json- Test metadata and resultsraw_response.txt- Raw model responseextracted_output.txt- Extracted code outputoutput.diff- Generated diffPerformance Notes
Claude Haiku 4.5 achieved a 41% success rate on this benchmark, which tests the model's ability to reconstruct code changes from git history. The model completed all 200 benchmarks without any API errors, demonstrating stable performance throughout the run.
🤖 This PR was created with Mentat. See my steps and cost here ✨