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Comparison · 2 models · Updated Oct 4, 2026

Kimi K2 Thinking vs Gemini 2.5 Pro

Gemini 2.5 Pro comes out ahead, 63 to 58 on our weighted score, though Kimi K2 Thinking is 3.2× cheaper per token.

  1. Moonshot AI

    Kimi K2 Thinking

    Released Nov 6, 2025

    58/100
    • ECI146.0
    • Price$0.60 / $2.50
    • Context262K
    Full specs Remove Kimi K2 Thinking
  2. Our pick

    Google

    Gemini 2.5 Pro

    Released Jun 17, 2025

    63/100
    • ECI145.3
    • Price$1.25 / $10.00
    • Context1.05M
    Full specs Remove Gemini 2.5 Pro

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01 — Verdict

Gemini 2.5 Pro is our pick

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against Kimi K2 Thinking (58). It leads on inputs & features and context window. Kimi K2 Thinking wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K2 ThinkingCapabilities Index (ECI): Kimi K2 Thinking 146.0 · Gemini 2.5 Pro 145.3
  • Lowest priceKimi K2 ThinkingKimi K2 Thinking $1.07 · Gemini 2.5 Pro $3.44 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · Kimi K2 Thinking 262,144 tokens
  • Widest inputsGemini 2.5 ProKimi K2 Thinking: Text · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video
  • Self-hostingKimi K2 ThinkingPublishes downloadable weights
How the score is built
MeasureWeightKimi K2 ThinkingGemini 2.5 Pro
CapabilityCapabilities Index (ECI)50%7372
Price25%4824
Inputs & features15%35100
Context window10%3761
Overall100%58/10063/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Kimi K2 Thinking vs Gemini 2.5 Pro specifications side by side
SpecificationKimi K2 ThinkingMoonshot AIGemini 2.5 ProGoogle
Capability
Capabilities Index (ECI)146.0 (best)145.3
ECI rank#72 of 148 (best)#78 of 148
GPQA DiamondGraduate-level science questions84.2%85.3% (best)
FrontierMath Tiers 1–3Research-level mathematics—24.6%
OTIS Mock AIME 2024–2025Competition mathematics83.1%84.7% (best)
SWE-bench VerifiedFixing real GitHub issues—57.6%
Price per million tokens
Input$0.60 (best)$1.25
Output$2.50 (best)$10.00
Cached input—$0.125
Blended (3:1)$1.07 (best)$3.44
Long-context rateSame rateOver 200K: $2.50 / $15.00
Price sourceMedian of 10 providersOfficial Google API
Limits
Context window262,144 tokens1,048,576 tokens (best)
Max output262,144 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoYes
VideoNoYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model ID—gemini-2.5-pro
API providers1022 (best)
ReleasedNov 6, 2025Jun 17, 2025
Knowledge cutoffAug 2024Jan 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Kimi K2 Thinking$11.00
  • Gemini 2.5 Pro$32.50
04 — Questions

Which should you choose?

Which is better: Kimi K2 Thinking or Gemini 2.5 Pro?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against Kimi K2 Thinking (58). It leads on inputs & features and context window. Kimi K2 Thinking wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

Kimi K2 Thinking is cheaper at $0.60 input / $2.50 output per million tokens (median across 10 API providers). Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $1.07 per million tokens for Kimi K2 Thinking versus $3.44 for Gemini 2.5 Pro (3.2× as much).

Which scores higher on benchmarks?

Kimi K2 Thinking scores higher on the Capabilities Index (ECI): Kimi K2 Thinking 146.0 (#72 of 148) and Gemini 2.5 Pro 145.3 (#78 of 148). The confidence ranges of the top two overlap (143.4–147.6 vs 143.6–146.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 2.5 Pro 85.3%, Kimi K2 Thinking 84.2%; OTIS Mock AIME 2024–2025 — Gemini 2.5 Pro 84.7%, Kimi K2 Thinking 83.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K2 Thinking yet, so there is no like-for-like coding score. On overall capability, Kimi K2 Thinking leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 262,144 for Kimi K2 Thinking. Maximum output per response: Kimi K2 Thinking up to 262,144, Gemini 2.5 Pro up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Kimi K2 Thinking accepts text; Gemini 2.5 Pro accepts text, images, PDFs, audio and video. Gemini 2.5 Pro handles the widest range of inputs.

Are any of these open source?

Kimi K2 Thinking publishes its weights and can be self-hosted; Gemini 2.5 Pro is proprietary.

Which is newer?

Kimi K2 Thinking is the newest, released Nov 6, 2025. Gemini 2.5 Pro came out Jun 17, 2025. Knowledge cutoff: Kimi K2 Thinking Aug 2024, Gemini 2.5 Pro Jan 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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