Gemini 3.7 Flash vs Kimi K2 Thinking
At a Glance
| Compare |  Gemini 3.7 FlashGoogle DeepMind |  Kimi K2 ThinkingMoonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #4 of 4687.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #17 of 44$0.085 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #2 of 3869.9 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.75Google AI ↗ · Aug 29, 2026 | $0.60Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $3.75Google AI ↗ · Aug 29, 2026 | $2.50Openrouter ↗ · Sep 23, 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 3.7 Flash | Kimi-K2-Thinking |
|---|---|---|
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 77.9599% of row best · points · Gemini 3.7 Flash (high thinking) · 9,139 output tokens / case | 78.55100% of row best · points · Kimi K2 Thinking · 7,821 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
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 3.7 Flash | Kimi-K2-Thinking |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemini 3 | Kimi K2 Thinking |
| Model | Gemini 3.7 Flash | Kimi-K2-Thinking |
| Version | Gemini 3.7 Flash | Kimi-K2-Thinking |
| Lifecycle | active | active |
| Released | Unknown | 2025-11-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| 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) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Gemini 3.7 Flash Capabilities
Kimi K2 Thinking Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.7 Flash vs Kimi K2 Thinking FAQs
Is Gemini 3.7 Flash or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.7 Flash and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.7 Flash or Kimi K2 Thinking?+
Gemini 3.7 Flash is $0.75 and Kimi K2 Thinking is $0.60 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Gemini 3.7 Flash is $3.75 and Kimi K2 Thinking is $2.50 per million tokens, so Kimi K2 Thinking is cheaper on this metric.
Which has a larger context window, Gemini 3.7 Flash or Kimi K2 Thinking?+
Gemini 3.7 Flash has the larger sourced context window. Gemini 3.7 Flash supports 1,049K and Kimi K2 Thinking supports 262K.
Which performs better in benchmarks, Gemini 3.7 Flash or Kimi K2 Thinking?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.7 Flash or Kimi K2 Thinking be self-hosted?+
Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Gemini 3.7 Flash is not marked open weight; Kimi K2 Thinking is open weight.
Can Gemini 3.7 Flash and Kimi K2 Thinking understand images?+
Gemini 3.7 Flash is documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.7 Flash or Kimi K2 Thinking?+
Kimi K2 Thinking has the larger sourced maximum output: Gemini 3.7 Flash supports 66K and Kimi K2 Thinking supports 131K output tokens.
Do Gemini 3.7 Flash and Kimi K2 Thinking support reasoning and tool use?+
Gemini 3.7 Flash: reasoning, tool calling, and image input. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.7 Flash or Kimi K2 Thinking?+
Gemini 3.7 Flash has 2 sourced provider routes; Kimi K2 Thinking has 2, a tie.
Which offers better value, Gemini 3.7 Flash or Kimi K2 Thinking?+
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.