# DeepSeek V3.2 vs Kimi K2.6

> Side-by-side benchmark comparison for DeepSeek V3.2 and Kimi K2.6 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/deepseek-v3-2-vs-kimi-2-6
- Last updated: October 10, 2026

- Shared sourced benchmarks: 4
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Kimi K2.6 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- Kimi K2.6 has the higher overall point estimate 58.74 to 49.36. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in mathematics, where the averages are 40.5 for DeepSeek V3.2 and 72.2 for Kimi K2.6.
- The biggest single benchmark swing is Gert Labs in Agentic, with scores of 29.57% and 56.82%.
- DeepSeek V3.2 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Kimi K2.6 also has the larger context window at 256K.

## Model Snapshot

| Property | DeepSeek V3.2 | Kimi K2.6 |
|----------|----------|----------|
| Creator | DeepSeek | Moonshot AI |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 128K | 256K |
| Overall Score | 49.36 | 58.74 |
| Benchmarks Covered | 7 | 37 |
| Pricing (input/output) | $0.28 / $0.42 | $0.95 / $4.00 |

## Category Breakdown

### Agentic

- Winner: Not comparable
- DeepSeek V3.2 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 43.7 (Supported · #57/123)

| Benchmark | DeepSeek V3.2 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| Claw-Eval | 40.2% | 62.3% | Kimi K2.6 |
| VITA-Bench | 18.5% | Coming soon | Coming soon |
| Gert Labs | 29.57% | 56.82% | Kimi K2.6 |
| 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 |
| DeepSearchQA | Coming soon | 92.5% | Coming soon |
| WideResearch | Coming soon | 80.8% | Coming soon |
| ResearchClawBench | Coming soon | 18.0% | Coming soon |
| OSWorld 2.0 | Coming soon | 4.6% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 53.6% | Coming soon |

### Coding

- Winner: Directional only
- DeepSeek V3.2 public-lane score: 29.8 (Estimated · #94/146)
- Kimi K2.6 public-lane score: 43.9 (Supported · #54/146)

| Benchmark | DeepSeek V3.2 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| SWE-Rebench | 60.9% | Coming soon | Coming soon |
| React Native Evals | 71.5% | 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 |
| Vibe Code Bench | Coming soon | 37.89% | Coming soon |
| cursorBench31 | Coming soon | 47.6% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 86.8% | Coming soon |
| SWE-bench (Vals) | Coming soon | 76.2% | Coming soon |

### Reasoning

- Winner: Not comparable
- DeepSeek V3.2 public-lane score: 57.4 (Unranked · 2 rankable rows)
- Kimi K2.6 public-lane score: Coming soon

### Multimodal & Grounded

- Winner: Not comparable
- DeepSeek V3.2 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 73.8 (#27/54)

| Benchmark | DeepSeek V3.2 | 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
- DeepSeek V3.2 public-lane score: 43 (Estimated · #104/177)
- Kimi K2.6 public-lane score: 59.8 (Supported · #45/177)

| Benchmark | DeepSeek V3.2 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | Coming soon | 90.5% | Coming soon |
| GPQA-D | Coming soon | 90.5% | Coming soon |
| HLE | Coming soon | 34.7% | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 89.1% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 87.6% | Coming soon |

### Instruction Following

- Winner: Not comparable
- DeepSeek V3.2 public-lane score: 58.2 (#75/127)
- Kimi K2.6 public-lane score: Coming soon

### Mathematics

- Winner: Not comparable
- DeepSeek V3.2 public-lane score: 40.5 (Unranked · 2 rankable rows)
- Kimi K2.6 public-lane score: 72.2 (#1/7)

| Benchmark | DeepSeek V3.2 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 22.100% | 38.966% | Kimi K2.6 |
| FrontierMath v2 (Tier 4) | 2.100% | 14.580% | Kimi K2.6 |
| 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, DeepSeek V3.2 or Kimi K2.6?

Kimi K2.6 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between DeepSeek V3.2 and Kimi K2.6?

The widest category gap is in mathematics, where the averages are 40.5 for DeepSeek V3.2 and 72.2 for Kimi K2.6.

### How many benchmarks does DeepSeek V3.2 cover on BenchLM?

DeepSeek V3.2 currently has 7 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

- [DeepSeek V3.2 vs DeepSeek V3.2 (Thinking)](/compare/deepseek-v3-2-vs-deepseek-v3-2-thinking)
- [Kimi K2.6 vs DeepSeek V3.2 (Thinking)](/compare/deepseek-v3-2-thinking-vs-kimi-2-6)
- [DeepSeek V3.2 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-deepseek-v3-2)
- [Kimi K2.6 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-kimi-2-6)

## Explore More

- [DeepSeek V3.2 profile](/models/deepseek-v3-2)
- [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)