# Gemini 3.6 Flash vs Kimi K2.6

> Side-by-side benchmark comparison for Gemini 3.6 Flash and Kimi K2.6 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gemini-3-6-flash-vs-kimi-2-6
- Last updated: September 4, 2026

- Shared sourced benchmarks: 6
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick Gemini 3.6 Flash if you want the stronger benchmark profile. Kimi K2.6 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Gemini 3.6 Flash leads overall 70.11 to 65.3.
- The clearest category separation is in multimodal & grounded, where the averages are 82.3 for Gemini 3.6 Flash and 63.2 for Kimi K2.6.
- The biggest single benchmark swing is Terminal-Bench 2.1 (Vals) in Agentic, with scores of 73.8% and 53.6%.
- Kimi K2.6 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Gemini 3.6 Flash also has the larger context window at 1M.

## Model Snapshot

| Property | Gemini 3.6 Flash | Kimi K2.6 |
|----------|----------|----------|
| Creator | Google | Moonshot AI |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 256K |
| Overall Score | 70.11 | 65.3 |
| Benchmarks Covered | 8 | 37 |
| Pricing (input/output) | $1.50 / $7.50 | $0.95 / $4.00 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- Gemini 3.6 Flash public-lane score: 50.7 (Supported · #60/151)
- Kimi K2.6 public-lane score: 46.1 (Estimated · #88/151)

| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| OSWorld-Verified | 83% | 73.1% | Gemini 3.6 Flash |
| Terminal-Bench 2.1 (Vals) | 73.8% | 53.6% | Gemini 3.6 Flash |
| Terminal-Bench 2.0 | Coming soon | 66.7% | Coming soon |
| BrowseComp | Coming soon | 83.2% | 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 |
| Gert Labs | Coming soon | 56.82% | Coming soon |
| ResearchClawBench | Coming soon | 18.0% | Coming soon |
| OSWorld 2.0 | Coming soon | 4.6% | Coming soon |

### Coding

- Winner: Gemini 3.6 Flash
- Gemini 3.6 Flash public-lane score: 58.9 (Supported · #30/183)
- Kimi K2.6 public-lane score: 51.6 (Supported · #62/183)

| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| deepSwe | 49% | Coming soon | Coming soon |
| cursorBench32 | 53.5% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 88.1% | 86.8% | Gemini 3.6 Flash |
| SWE-bench (Vals) | 79.6% | 76.2% | Gemini 3.6 Flash |
| 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 |

### Multimodal & Grounded

- Winner: Coming soon
- Gemini 3.6 Flash public-lane score: 82.3 (Unranked · 1 rankable row)
- Kimi K2.6 public-lane score: 63.2 (#26/48)

| Benchmark | Gemini 3.6 Flash | 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 |

### Reasoning

- Winner: Coming soon
- Gemini 3.6 Flash public-lane score: 77.8 (Unranked · 2 rankable rows)
- Kimi K2.6 public-lane score: Coming soon

### Knowledge

- Winner: Gemini 3.6 Flash
- Gemini 3.6 Flash public-lane score: 68.6 (Supported · #18/181)
- Kimi K2.6 public-lane score: 61.7 (Supported · #34/181)

| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 93.4% | 89.1% | Gemini 3.6 Flash |
| MMLU-Pro (Vals) | 89.3% | 87.6% | Gemini 3.6 Flash |
| GPQA | Coming soon | 90.5% | Coming soon |
| GPQA-D | Coming soon | 90.5% | Coming soon |
| HLE | Coming soon | 34.7% | Coming soon |

### Mathematics

- Winner: Coming soon
- Gemini 3.6 Flash public-lane score: Coming soon
- Kimi K2.6 public-lane score: 71.3 (#1/7)

| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | Coming soon | 96.4% | Coming soon |
| HMMT Feb 2026 | Coming soon | 92.7% | Coming soon |
| MMAnswerBench | Coming soon | 86.0% | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 38.966% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 14.580% | Coming soon |

## FAQ

### Which is better overall, Gemini 3.6 Flash or Kimi K2.6?

Gemini 3.6 Flash is ahead overall on BenchLM right now.

### Where is the biggest gap between Gemini 3.6 Flash and Kimi K2.6?

The widest category gap is in multimodal & grounded, where the averages are 82.3 for Gemini 3.6 Flash and 63.2 for Kimi K2.6.

### How many benchmarks does Gemini 3.6 Flash cover on BenchLM?

Gemini 3.6 Flash currently has 8 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

- [Gemini 3.6 Flash vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-gemini-3-6-flash)
- [Kimi K2.6 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-kimi-2-6)
- [Gemini 3.6 Flash vs GPT-6 Astra](/compare/gemini-3-6-flash-vs-gpt-6-astra)
- [Kimi K2.6 vs GPT-6 Astra](/compare/gpt-6-astra-vs-kimi-2-6)

## Explore More

- [Gemini 3.6 Flash profile](/models/gemini-3-6-flash)
- [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)