Gemini 3.7 Flash vs Kimi K2.7 Code
At a Glance
| Compare |  Gemini 3.7 FlashGoogle DeepMind |  Kimi K2.7 CodeMoonshot 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 | #9 of 44$0.042 per LiveBench case |
| 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 | $0.68Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $3.75Google AI ↗ · Aug 29, 2026 | $3.21Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 3, 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 K2.7 Code |
|---|---|---|
| LiveBench2026-06-25 · overall · leader | 83.15100% of row best · percent · gemini-3.7-flash-high · 22,610 output tokens / case | 71.4586% of row best · percent · kimi-k2.7-code · 13,007 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo 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 K2.7 Code |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemini 3 | Kimi K2 7 |
| Model | Gemini 3.7 Flash | Kimi K2.7 Code |
| Version | Gemini 3.7 Flash | Kimi K2.7 Code |
| Lifecycle | active | active |
| Released | Unknown | 2026-06-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 1T |
| Active parameters | Unknown | 32B |
| License | Unknown | modified-mit |
| 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), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, coding, reasoning, tools, vision |
Gemini 3.7 Flash Capabilities
Kimi K2.7 Code Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.7 Flash vs Kimi K2.7 Code FAQs
Is Gemini 3.7 Flash or Kimi K2.7 Code better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.7 Flash and Kimi K2.7 Code, 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 K2.7 Code?+
Gemini 3.7 Flash is $0.75 and Kimi K2.7 Code is $0.68 per million tokens, so Kimi K2.7 Code is cheaper on this metric. Gemini 3.7 Flash is $3.75 and Kimi K2.7 Code is $3.21 per million tokens, so Kimi K2.7 Code is cheaper on this metric.
Which has a larger context window, Gemini 3.7 Flash or Kimi K2.7 Code?+
Gemini 3.7 Flash has the larger sourced context window. Gemini 3.7 Flash supports 1,049K and Kimi K2.7 Code supports 262K.
Which performs better in benchmarks, Gemini 3.7 Flash or Kimi K2.7 Code?+
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 K2.7 Code be self-hosted?+
Kimi K2.7 Code is the only model in this pair currently marked as self-hostable. Gemini 3.7 Flash is not marked open weight; Kimi K2.7 Code is open weight.
Can Gemini 3.7 Flash and Kimi K2.7 Code understand images?+
Gemini 3.7 Flash is documented with image input; Kimi K2.7 Code is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.7 Flash or Kimi K2.7 Code?+
Neither has a larger sourced maximum output. Gemini 3.7 Flash is 66K and Kimi K2.7 Code is —.
Do Gemini 3.7 Flash and Kimi K2.7 Code support reasoning and tool use?+
Gemini 3.7 Flash: reasoning, tool calling, and image input. Kimi K2.7 Code: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.7 Flash or Kimi K2.7 Code?+
Gemini 3.7 Flash has 2 sourced provider routes; Kimi K2.7 Code has 4, so Kimi K2.7 Code has broader tracked availability.
Which offers better value, Gemini 3.7 Flash or Kimi K2.7 Code?+
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.