Gemini 3 Flash vs Kimi K2 Thinking

At a Glance

Compare
Gemini 3 FlashGoogle DeepMind
Kimi K2 ThinkingMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.50Google AI · Aug 29, 2026$0.60Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokens$3.00Google AI · Aug 29, 2026$2.50Openrouter · Sep 23, 2026
Context windowMaximum documented tokens1,049K262K
Model facts checkedAug 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGemini 3 FlashKimi-K2-Thinking
DeveloperGoogle DeepMindMoonshot AI
FamilyGemini 3Kimi K2 Thinking
ModelGemini 3 FlashKimi-K2-Thinking
VersionGemini 3 FlashKimi-K2-Thinking
Lifecyclepreviewactive
ReleasedUnknown2025-11-06
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextText
Context window1,049K262K
Total parametersUnknown1T
Active parametersUnknown32B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Gemini 3 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3-flash-preview

Kimi K2 Thinking Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Thinking

Primary Evidence

Sources and Freshness

Questions

Gemini 3 Flash vs Kimi K2 Thinking FAQs

Is Gemini 3 Flash or Kimi K2 Thinking better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3 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 Flash or Kimi K2 Thinking?+

Gemini 3 Flash is $0.50 and Kimi K2 Thinking is $0.60 per million tokens, so Gemini 3 Flash is cheaper on this metric. Gemini 3 Flash is $3.00 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 Flash or Kimi K2 Thinking?+

Gemini 3 Flash has the larger sourced context window. Gemini 3 Flash supports 1,049K and Kimi K2 Thinking supports 262K.

Which performs better in benchmarks, Gemini 3 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 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 Flash is not marked open weight; Kimi K2 Thinking is open weight.

Can Gemini 3 Flash and Kimi K2 Thinking understand images?+

Gemini 3 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 Flash or Kimi K2 Thinking?+

Kimi K2 Thinking has the larger sourced maximum output: Gemini 3 Flash supports 66K and Kimi K2 Thinking supports 131K output tokens.

Do Gemini 3 Flash and Kimi K2 Thinking support reasoning and tool use?+

Gemini 3 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 Flash or Kimi K2 Thinking?+

Gemini 3 Flash has 2 sourced provider routes; Kimi K2 Thinking has 2, a tie.

Which offers better value, Gemini 3 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.

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