Gemini 3.6 Flash vs Kimi K2.6
At a Glance
| Compare |  Gemini 3.6 FlashGoogle DeepMind |  Kimi K2.6Moonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #19 of 4666.4 score · 3/3 sources · complete | #32 of 4650.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.6–67.0 |
| CostLower is better · Published-token output estimate | #11 of 44$0.055 per LiveBench case | #21 of 44$0.095 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #5 of 3863.7 score · 3/3 sources · complete | #24 of 3850.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.7–58.4 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.75Google AI ↗ · Aug 29, 2026 | $0.75Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $3.75Google AI ↗ · Aug 29, 2026 | $3.50Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Gemini 3.6 Flash | Kimi-K2.6 |
|---|---|---|
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,456.06100% of row best · rating · gemini-3.6-flash-high; 95% CI [1445.28023002, 1466.83474253]; votes 2975; rank 24 | 1,450.74100% of row best · rating · kimi-k2.6; 95% CI [1443.10467262, 1458.37474735]; votes 11291; rank 27 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,476.14100% of row best · rating · gemini-3.6-flash-high; 95% CI [1471.32576175, 1480.95948376]; votes 26445; rank 18 | 1,454.9299% of row best · rating · kimi-k2.6; 95% CI [1450.40277919, 1459.43693683]; votes 37502; rank 38 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,299.76100% of row best · rating · gemini-3.6-flash-high; 95% CI [1290.11200178, 1309.40058033]; votes 5159; rank 16 | 1,280.4099% of row best · rating · kimi-k2.6; 95% CI [1273.38025179, 1287.42397051]; votes 15347; rank 28 |
| LiveBench2026-06-25 · overall · leader | 78.05100% of row best · percent · gemini-3.6-flash-high · 14,746 output tokens / case | 74.1895% of row best · percent · kimi-k2.6-thinking · 27,001 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 78.2595% of row best · points · Gemini 3.6 Flash (high thinking) · 10,929 output tokens / case | 82.24100% of row best · points · Kimi K2.6 (thinking) · 18,080 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 3 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Gemini 3.6 Flash | Kimi-K2.6 |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemini 3 | Kimi K2 6 |
| Model | Gemini 3.6 Flash | Kimi-K2.6 |
| Version | Gemini 3.6 Flash | Kimi-K2.6 |
| Lifecycle | active | active |
| Released | Unknown | 2026-04-20 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 1T |
| Active parameters | Unknown | 32B |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Gemini 3.6 Flash Capabilities
Kimi K2.6 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.6 Flash vs Kimi K2.6 FAQs
Is Gemini 3.6 Flash or Kimi K2.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.6 Flash and Kimi K2.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.6 Flash or Kimi K2.6?+
Gemini 3.6 Flash is $0.75 and Kimi K2.6 is $0.75 per million tokens, so they are tied on this metric. Gemini 3.6 Flash is $3.75 and Kimi K2.6 is $3.50 per million tokens, so Kimi K2.6 is cheaper on this metric.
Which has a larger context window, Gemini 3.6 Flash or Kimi K2.6?+
Gemini 3.6 Flash has the larger sourced context window. Gemini 3.6 Flash supports 1,049K and Kimi K2.6 supports 262K.
Which performs better in benchmarks, Gemini 3.6 Flash or Kimi K2.6?+
Gemini 3.6 Flash leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Gemini 3.6 Flash or Kimi K2.6 be self-hosted?+
Kimi K2.6 is the only model in this pair currently marked as self-hostable. Gemini 3.6 Flash is not marked open weight; Kimi K2.6 is open weight.
Can Gemini 3.6 Flash and Kimi K2.6 understand images?+
Gemini 3.6 Flash is documented with image input; Kimi K2.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.6 Flash or Kimi K2.6?+
Neither has a larger sourced maximum output. Gemini 3.6 Flash is 66K and Kimi K2.6 is —.
Do Gemini 3.6 Flash and Kimi K2.6 support reasoning and tool use?+
Gemini 3.6 Flash: reasoning, tool calling, and image input. Kimi K2.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.6 Flash or Kimi K2.6?+
Gemini 3.6 Flash has 2 sourced provider routes; Kimi K2.6 has 5, so Kimi K2.6 has broader tracked availability.
Which offers better value, Gemini 3.6 Flash or Kimi K2.6?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.