Model comparison
Claude Opus 4.5 Thinking vs Kimi K2.6
Head-to-head evidence from 14 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 #69 (Estimated); Kimi K2.6 #74 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.5 Thinking and Kimi K2.6 share 14 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Opus 4.5 Thinking; 37 to Kimi K2.6.
Updated July 23, 2026- Shared results
- 14
- Claude Opus 4.5 Thinking only
- 2
- Kimi K2.6 only
- 37
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.5 Thinking and Kimi K2.6 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 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 K2.6 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.
| Category | Claude Opus 4.5 Thinking | Δ | Kimi K2.6 |
|---|---|---|---|
| Agentic | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Kimi K2.673.5 |
| Coding | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Kimi K2.664.4 |
| Knowledge | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Kimi K2.642.2 |
| Math | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Kimi K2.667.1 |
| Multimodal | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Kimi K2.679.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 Thinking | Kimi K2.6 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5 ThinkingNot available | Kimi K2.6$0.95 input / $4 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.5 ThinkingNot available | Kimi K2.6Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.5 ThinkingNot available | Kimi K2.6Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.5 Thinking200K | Kimi K2.6256K | Kimi K2.6 lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.6 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 89.5% | 95.9% | Kimi K2.6 leads |
| Terminal-Bench 2.0Source | — | 66.7% | Not comparable |
| BrowseCompSource | — | 83.2% | Not comparable |
| OSWorld-VerifiedSource | — | 73.1% | Not comparable |
| ToolathlonSource | — | 50% | Not comparable |
| MCP AtlasSource | — | 55.9% | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| DeepSearchQASource | — | 92.5% | Not comparable |
| WideResearchSource | — | 80.8% | Not comparable |
| AA Agentic IndexSource | — | 30.3% | Not comparable |
| GDPval-AASource | — | 34.5% | Not comparable |
| GDPval-AASource | — | 1189 | Not comparable |
| APEX-Agents-AASource | — | 28.5% | Not comparable |
| Gert LabsSource | — | 56.82% | Not comparable |
| ResearchClawBenchSource | — | 18.0% | Not comparable |
| OSWorld 2.0Source | — | 4.6% | Not comparable |
| terminalBenchHardSource | — | 43.9% | Not comparable |
Coding10 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.6 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 20.63% | 37.89% | Kimi K2.6 leads |
| AA-SciCodeSource | 49.5% | 53.5% | Kimi K2.6 leads |
| SWE-bench VerifiedSource | — | 80.2% | Not comparable |
| LiveCodeBench v6Source | — | 89.6% | Not comparable |
| SWE-bench ProSource | — | 58.6% | Not comparable |
| SWE MultilingualSource | — | 76.7% | Not comparable |
| SciCodeSource | — | 52.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 66.7% | Not comparable |
| cursorBench31Source | — | 47.6% | Not comparable |
| AA Coding IndexSource | — | 61.8% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.6 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.8% | 44.2% | Kimi K2.6 leads |
| AA-GPQA DiamondSource | 86.6% | 91.1% | Kimi K2.6 leads |
| AA-HLESource | 28.4% | 35.9% | Kimi K2.6 leads |
| AA-Omniscience IndexSource | 13.3% | 6.4% | Claude Opus 4.5 Thinking leads |
| AA-Omniscience AccuracySource | 45.7% | 32.8% | Claude Opus 4.5 Thinking leads |
| AA-Omniscience Hallucination RateSource | 59.8% | 39.3% | Kimi K2.6 leads |
| AA MMLU-ProSource | 89.5% | — | Not comparable |
| GPQASource | — | 90.5% | Not comparable |
| GPQA-DSource | — | 90.5% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
Math5 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.6 | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 91.3% | — | Not comparable |
Multimodal7 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.6 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 74.0% | 79.4% | Kimi K2.6 leads |
| Design Arena WebsiteSource | 1277 | 1306 | Kimi K2.6 leads |
| MMMU-ProSource | — | 79.4% | Not comparable |
| MMMU-Pro w/ PythonSource | — | 80.1% | Not comparable |
| CharXivSource | — | 80.4% | Not comparable |
| MathVisionSource | — | 87.4% | Not comparable |
| V*Source | — | 96.9% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Kimi K2.6 | Result |
|---|---|---|---|
| AA-IFBenchSource | 58.0% | 76.0% | Kimi K2.6 leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.5 Thinking and Kimi K2.6 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 K2.6 today?
Kimi K2.6: $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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