Gemini 3.1 Pro vs Kimi K2 Instruct

At a Glance

Compare
Gemini 3.1 ProGoogle DeepMind
Kimi K2 InstructMoonshot AI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#9 of 4679.7 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#27 of 44$0.161 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#9 of 3859.2 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Google AI · Aug 29, 2026$0.57Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokens$12.00Google AI · Aug 29, 2026$2.30Openrouter · Aug 29, 2026
Context windowMaximum documented tokens1,049K131K
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 3.1 ProKimi-K2-Instruct
DeveloperGoogle DeepMindMoonshot AI
FamilyGemini 3Kimi K2 Instruct
ModelGemini 3.1 ProKimi-K2-Instruct
VersionGemini 3.1 ProKimi-K2-Instruct
Lifecyclepreviewactive
ReleasedUnknown2025-07-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextText
Context window1,049K131K
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, tools

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

Kimi K2 Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Instruct

Primary Evidence

Sources and Freshness

Questions

Gemini 3.1 Pro vs Kimi K2 Instruct FAQs

Is Gemini 3.1 Pro or Kimi K2 Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Kimi K2 Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.1 Pro or Kimi K2 Instruct?+

Gemini 3.1 Pro is $2.00 and Kimi K2 Instruct is $0.57 per million tokens, so Kimi K2 Instruct is cheaper on this metric. Gemini 3.1 Pro is $12.00 and Kimi K2 Instruct is $2.30 per million tokens, so Kimi K2 Instruct is cheaper on this metric.

Which has a larger context window, Gemini 3.1 Pro or Kimi K2 Instruct?+

Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,049K and Kimi K2 Instruct supports 131K.

Which performs better in benchmarks, Gemini 3.1 Pro or Kimi K2 Instruct?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Gemini 3.1 Pro or Kimi K2 Instruct be self-hosted?+

Kimi K2 Instruct is the only model in this pair currently marked as self-hostable. Gemini 3.1 Pro is not marked open weight; Kimi K2 Instruct is open weight.

Can Gemini 3.1 Pro and Kimi K2 Instruct understand images?+

Gemini 3.1 Pro is documented with image input; Kimi K2 Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.1 Pro or Kimi K2 Instruct?+

Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Kimi K2 Instruct is —.

Do Gemini 3.1 Pro and Kimi K2 Instruct support reasoning and tool use?+

Gemini 3.1 Pro: reasoning, tool calling, and image input. Kimi K2 Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.1 Pro or Kimi K2 Instruct?+

Gemini 3.1 Pro has 2 sourced provider routes; Kimi K2 Instruct has 2, a tie.

Which offers better value, Gemini 3.1 Pro or Kimi K2 Instruct?+

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.

Send Feedback