Compare / Claude Haiku 4.5 vs Kimi K2.7 Code
Claude Haiku 4.5 vs Kimi K2.7 Code
14 results from 3 sources that measured both models. Each row is in the source's own units; there is no overall winner.
| Benchmark | Metric | Claude Haiku 4.5 | Kimi K2.7 Code |
|---|---|---|---|
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 43.9 | 60.8 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 16.9 | 25.8 |
| Artificial Analysisreported | GPQA Diamond% of questions | 67.2% | 89.6% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 10.4% | 35.0% |
| Artificial Analysisreported | IFBench% of instructions | 54.3% | 63.1% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 74.3% | 79.3% |
| Artificial Analysisreported | SciCode% of problems | 42.2% | 47.8% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 44.2% | 67.4% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 0.0% | 1.0% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 27.3% | 44.7% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 9.3% | 20.2% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 54.7% | 90.1% |
| SimpleQA Verified (Epoch AI)reported | Correct answers% of questions | 13.2% | 36.5% |
| Vending-Bench 2reported | Money after a yearUS dollars | $458.89 | $5,082.94 |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.