# Claude Opus 4.7 vs Kimi K2.6

> Side-by-side benchmark comparison for Claude Opus 4.7 and Kimi K2.6 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/claude-opus-4-7-vs-kimi-2-6
- Last updated: October 14, 2026

- Shared sourced benchmarks: 11
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Claude Opus 4.7 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- Claude Opus 4.7 has the higher overall point estimate 65.18 to 58.47. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in coding, where the averages are 55.6 for Claude Opus 4.7 and 43.6 for Kimi K2.6.
- The biggest single benchmark swing is Vibe Code Bench in Coding, with scores of 71.00% and 37.89%.
- Kimi K2.6 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Claude Opus 4.7 also has the larger context window at 1M.

## Model Snapshot

| Property | Claude Opus 4.7 | Kimi K2.6 |
|----------|----------|----------|
| Creator | Anthropic | Moonshot AI |
| Type | Proprietary | Open Weight |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 1M | 256K |
| Overall Score | 65.18 | 58.47 |
| Benchmarks Covered | 15 | 37 |
| Pricing (input/output) | $5.00 / $25.00 | $0.95 / $4.00 |

## Category Breakdown

### Agentic

- Winner: Claude Opus 4.7
- Claude Opus 4.7 public-lane score: 54 (Supported · #40/124)
- Kimi K2.6 public-lane score: 43.7 (Supported · #57/124)

| Benchmark | Claude Opus 4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| Gert Labs | 65.59% | 56.82% | Claude Opus 4.7 |
| ResearchClawBench | 20.7% | 18.0% | Claude Opus 4.7 |
| OSWorld 2.0 | 13.9% | 4.6% | Claude Opus 4.7 |
| Terminal-Bench 2.1 (Vals) | 68.5% | 53.6% | Claude Opus 4.7 |
| ApprenticeBench | 7% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 66.7% | Coming soon |
| BrowseComp | Coming soon | 83.2% | Coming soon |
| OSWorld-Verified | Coming soon | 73.1% | Coming soon |
| Toolathlon | Coming soon | 50% | Coming soon |
| MCP Atlas | Coming soon | 55.9% | Coming soon |
| Claw-Eval | Coming soon | 62.3% | Coming soon |
| DeepSearchQA | Coming soon | 92.5% | Coming soon |
| WideResearch | Coming soon | 80.8% | Coming soon |

### Coding

- Winner: Claude Opus 4.7
- Claude Opus 4.7 public-lane score: 55.6 (Supported · #30/149)
- Kimi K2.6 public-lane score: 43.6 (Supported · #55/149)

| Benchmark | Claude Opus 4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| Vibe Code Bench | 71.00% | 37.89% | Claude Opus 4.7 |
| React Native Evals | 82.8% | Coming soon | Coming soon |
| FrontierCode 1.1 Main | 38.5% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 85.1% | 86.8% | Kimi K2.6 |
| SWE-bench (Vals) | 82.0% | 76.2% | Claude Opus 4.7 |
| PostTrainBench v1.1 | 28.6% | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 80.2% | Coming soon |
| LiveCodeBench v6 | Coming soon | 89.6% | Coming soon |
| SWE-bench Pro | Coming soon | 58.6% | Coming soon |
| SWE Multilingual | Coming soon | 76.7% | Coming soon |
| SciCode | Coming soon | 52.2% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 66.7% | Coming soon |
| cursorBench31 | Coming soon | 47.6% | Coming soon |

### Multimodal & Grounded

- Winner: Not comparable
- Claude Opus 4.7 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 73.8 (#27/54)

| Benchmark | Claude Opus 4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | Coming soon | 79.4% | Coming soon |
| MMMU-Pro w/ Python | Coming soon | 80.1% | Coming soon |
| CharXiv | Coming soon | 80.4% | Coming soon |
| MathVision | Coming soon | 87.4% | Coming soon |
| V* | Coming soon | 96.9% | Coming soon |

### Knowledge

- Winner: Directional only
- Claude Opus 4.7 public-lane score: 65.3 (Estimated · #30/181)
- Kimi K2.6 public-lane score: 60 (Supported · #48/181)

| Benchmark | Claude Opus 4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 90.2% | 89.1% | Claude Opus 4.7 |
| MMLU-Pro (Vals) | 89.9% | 87.6% | Claude Opus 4.7 |
| GPQA | Coming soon | 90.5% | Coming soon |
| GPQA-D | Coming soon | 90.5% | Coming soon |
| HLE | Coming soon | 34.7% | Coming soon |

### Mathematics

- Winner: Not comparable
- Claude Opus 4.7 public-lane score: 72.9 (Unranked · 2 rankable rows)
- Kimi K2.6 public-lane score: 76.8 (#4/12)

| Benchmark | Claude Opus 4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 70.175% | 57.193% | Claude Opus 4.7 |
| FrontierMath v2 (Tier 4) | 31.707% | 25.641% | Claude Opus 4.7 |
| AIME26 | Coming soon | 96.4% | Coming soon |
| HMMT Feb 2026 | Coming soon | 92.7% | Coming soon |
| MMAnswerBench | Coming soon | 86.0% | Coming soon |

## FAQ

### Which is better overall, Claude Opus 4.7 or Kimi K2.6?

Claude Opus 4.7 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between Claude Opus 4.7 and Kimi K2.6?

The widest category gap is in coding, where the averages are 55.6 for Claude Opus 4.7 and 43.6 for Kimi K2.6.

### How many benchmarks does Claude Opus 4.7 cover on BenchLM?

Claude Opus 4.7 currently has 15 sourced benchmark scores on BenchLM.

### How many benchmarks does Kimi K2.6 cover on BenchLM?

Kimi K2.6 currently has 37 sourced benchmark scores on BenchLM.

## Related Comparisons

- [Claude Opus 4.7 vs Claude Opus 4.7 (Adaptive)](/compare/claude-opus-4-7-vs-claude-opus-4-7-adaptive)
- [Kimi K2.6 vs Claude Opus 4.7 (Adaptive)](/compare/claude-opus-4-7-adaptive-vs-kimi-2-6)
- [Claude Opus 4.7 vs Claude Opus 5.5](/compare/claude-opus-4-7-vs-claude-opus-5-5)
- [Kimi K2.6 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-kimi-2-6)

## Explore More

- [Claude Opus 4.7 profile](/models/claude-opus-4-7)
- [Kimi K2.6 profile](/models/kimi-2-6)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
