Model comparison
Gemini 3.6 Flash vs Kimi K2.6
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.6 Flash unranked (Not scored); Kimi K2.6 #74 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.6 Flash and Kimi K2.6 share 15 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Gemini 3.6 Flash; 36 to Kimi K2.6.
Updated July 21, 2026- Shared results
- 15
- Gemini 3.6 Flash only
- 4
- Kimi K2.6 only
- 36
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemini 3.6 Flash makes more sense if agentic is the priority or you need the larger 1M context window; Kimi K2.6 is the better fit if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemini 3.6 Flash and Kimi K2.6 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Gemini 3.6 Flash is also the more expensive model on tokens at $1.50 input / $7.50 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. Gemini 3.6 Flash gives you the larger context window at 1M, compared with 256K for Kimi K2.6.
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 | Gemini 3.6 Flash | Δ | Kimi K2.6 |
|---|---|---|---|
| Agentic | Gemini 3.6 Flash83.0 | Margin← 9.5 | Kimi K2.673.5 |
| Coding | Gemini 3.6 FlashNot measured | MarginNo overlap | Kimi K2.664.4 |
| Knowledge | Gemini 3.6 FlashNot measured | MarginNo overlap | Kimi K2.642.2 |
| Math | Gemini 3.6 FlashNot measured | MarginNo overlap | Kimi K2.667.1 |
| Multimodal | Gemini 3.6 FlashNot measured | MarginNo overlap | Kimi K2.679.8 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OSWorld-Verified
AgenticA 83%B 73.1%Winner: Gemini 3.6 FlashΔ 9.9OSWorld-Verified: Gemini 3.6 Flash scored 83%; Kimi K2.6 scored 73.1%. Gemini 3.6 Flash wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.6 Flash | Kimi K2.6 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | Kimi K2.6$0.95 input / $4 output | Kimi K2.6 has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | Kimi K2.6Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | Kimi K2.6Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | Kimi K2.6256K | Gemini 3.6 Flash lists the larger context window. |
Benchmark Deep Dive
AgenticGemini 3.6 Flash wins20 benchmarks
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | 73.1% | Gemini 3.6 Flash leads |
| GDPval-AASource | 1421 | 1189 | Gemini 3.6 Flash leads |
| AA Agentic IndexSource | 38.7% | 30.3% | Gemini 3.6 Flash leads |
| GDPval-AASource | 46.1% | 34.5% | Gemini 3.6 Flash leads |
| AA BriefcaseSource | 961 | — | Not comparable |
| AA Tau3 BankingSource | 24.5% | — | Not comparable |
| aaTerminalBench21Source | 77.5% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 66.7% | Not comparable |
| BrowseCompSource | — | 83.2% | 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 |
| τ²-bench resultsSource | — | 95.9% | 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 |
Coding11 benchmarks
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Result |
|---|---|---|---|
| deepSweSource | 49% | — | Not comparable |
| AA Coding IndexSource | 69.2% | 61.8% | Gemini 3.6 Flash leads |
| AA-SciCodeSource | 52.7% | 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 |
| Vibe Code BenchSource | — | 37.89% | Not comparable |
| cursorBench31Source | — | 47.6% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | 44.2% | Gemini 3.6 Flash leads |
| AA-GPQA DiamondSource | 92.8% | 91.1% | Gemini 3.6 Flash leads |
| AA-HLESource | 38.3% | 35.9% | Gemini 3.6 Flash leads |
| AA-Omniscience IndexSource | 23.5% | 6.4% | Gemini 3.6 Flash leads |
| AA-Omniscience AccuracySource | 50.2% | 32.8% | Gemini 3.6 Flash leads |
| AA-Omniscience Hallucination RateSource | 53.5% | 39.3% | Kimi K2.6 leads |
| GPQASource | — | 90.5% | Not comparable |
| GPQA-DSource | — | 90.5% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
Math5 benchmarks
Multimodal7 benchmarks
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 83.2% | 79.4% | Gemini 3.6 Flash 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 |
| Design Arena WebsiteSource | — | 1306 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3.6 Flash | Kimi K2.6 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 76.0% | Not comparable |
Frequently Asked Questions (2)
Which is better, Gemini 3.6 Flash or Kimi K2.6?
Gemini 3.6 Flash and Kimi K2.6 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for agentic tasks, Gemini 3.6 Flash or Kimi K2.6?
Gemini 3.6 Flash has the edge for agentic tasks in this comparison, averaging 83 versus 73.5. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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