Gemini 2.5 Pro vs Kimi K2 Thinking

At a Glance

Compare
Gemini 2.5 ProGoogle DeepMind
Kimi K2 ThinkingMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$1.25Google AI · Aug 29, 2026$0.60Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokens$10.00Google 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 →
BenchmarkGemini 2.5 ProKimi-K2-Thinking
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified78.27100% of row best · points · Gemini 2.5 Pro · 4,521 output tokens / case78.55100% of row best · points · Kimi K2 Thinking · 7,821 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner0 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

FieldGemini 2.5 ProKimi-K2-Thinking
DeveloperGoogle DeepMindMoonshot AI
FamilyGemini 2 5Kimi K2 Thinking
ModelGemini 2.5 ProKimi-K2-Thinking
VersionGemini 2.5 ProKimi-K2-Thinking
Lifecycleactiveactive
ReleasedUnknown2025-11-06
Knowledge cutoff2025-01-01Unknown
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 2.5 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Kimi K2 Thinking Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Thinking

Primary Evidence

Sources and Freshness

Questions

Gemini 2.5 Pro vs Kimi K2 Thinking FAQs

Is Gemini 2.5 Pro or Kimi K2 Thinking better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Pro and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 2.5 Pro or Kimi K2 Thinking?+

Gemini 2.5 Pro is $1.25 and Kimi K2 Thinking is $0.60 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Gemini 2.5 Pro is $10.00 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 2.5 Pro or Kimi K2 Thinking?+

Gemini 2.5 Pro has the larger sourced context window. Gemini 2.5 Pro supports 1,049K and Kimi K2 Thinking supports 262K.

Which performs better in benchmarks, Gemini 2.5 Pro 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 2.5 Pro or Kimi K2 Thinking be self-hosted?+

Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Gemini 2.5 Pro is not marked open weight; Kimi K2 Thinking is open weight.

Can Gemini 2.5 Pro and Kimi K2 Thinking understand images?+

Gemini 2.5 Pro 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 2.5 Pro or Kimi K2 Thinking?+

Kimi K2 Thinking has the larger sourced maximum output: Gemini 2.5 Pro supports 66K and Kimi K2 Thinking supports 131K output tokens.

Do Gemini 2.5 Pro and Kimi K2 Thinking support reasoning and tool use?+

Gemini 2.5 Pro: 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 2.5 Pro or Kimi K2 Thinking?+

Gemini 2.5 Pro has 2 sourced provider routes; Kimi K2 Thinking has 2, a tie.

Which offers better value, Gemini 2.5 Pro 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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