Model comparison
Claude Opus 4.5 Thinking vs Kimi K2.7 Code
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.5 Thinking #77 (Estimated); Kimi K2.7 Code #92 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.5 Thinking and Kimi K2.7 Code share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Claude Opus 4.5 Thinking; 11 to Kimi K2.7 Code.
Updated July 27, 2026- Shared results
- 12
- Claude Opus 4.5 Thinking only
- 4
- Kimi K2.7 Code only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.5 Thinking and Kimi K2.7 Code is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Kimi K2.7 Code has the larger context window at 256K, compared with 200K for Claude Opus 4.5 Thinking.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 Thinking | Kimi K2.7 Code | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5 ThinkingNot available | Kimi K2.7 Code$0.95 input / $4 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.5 ThinkingNot available | Kimi K2.7 CodeNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.5 ThinkingNot available | Kimi K2.7 CodeNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.5 Thinking200K | Kimi K2.7 Code256K | Kimi K2.7 Code lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.7 Code | Result |
|---|---|---|---|
| τ²-bench resultsSource | 89.5% | 90.1% | Kimi K2.7 Code leads |
| Kimi Claw 24/7Source | — | 46.9% | Not comparable |
| MCP AtlasSource | — | 76% | Not comparable |
| MCP Mark VerifiedSource | — | 81.1% | Not comparable |
| AA Agentic IndexSource | — | 29.6% | Not comparable |
| GDPval-AASource | — | 34.3% | Not comparable |
| GDPval-AASource | — | 1186 | Not comparable |
Coding7 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.7 Code | Result |
|---|---|---|---|
| Vibe Code BenchSource | 20.63% | — | Not comparable |
| AA-SciCodeSource | 49.5% | 47.5% | Claude Opus 4.5 Thinking leads |
| Kimi Code Bench v2Source | — | 62.0% | Not comparable |
| ProgramBenchSource | — | 53.6% | Not comparable |
| MLS-Bench LiteSource | — | 35.1% | Not comparable |
| cursorBench32Source | — | 49.7% | Not comparable |
| AA Coding IndexSource | — | 60.8% | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.7 Code | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.8% | 42.0% | Kimi K2.7 Code leads |
| AA-GPQA DiamondSource | 86.6% | 89.6% | Kimi K2.7 Code leads |
| AA-HLESource | 28.4% | 32.8% | Kimi K2.7 Code leads |
| AA-Omniscience IndexSource | 13.3% | -10.7% | Claude Opus 4.5 Thinking leads |
| AA-Omniscience AccuracySource | 45.7% | 38.6% | Claude Opus 4.5 Thinking leads |
| AA-Omniscience Hallucination RateSource | 59.8% | 80.3% | Claude Opus 4.5 Thinking leads |
| AA MMLU-ProSource | 89.5% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.7 Code | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 91.3% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.7 Code | Result |
|---|---|---|---|
| AA-IFBenchSource | 58.0% | 63.1% | Kimi K2.7 Code leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.5 Thinking and Kimi K2.7 Code on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Opus 4.5 Thinking and Kimi K2.7 Code today?
Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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The model to choose, the cheaper alternative, and the release we would wait on.
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