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Comparison · 2 models · Updated Oct 4, 2026

o3-pro vs Kimi K2.7 Code

Kimi K2.7 Code comes out ahead, 64 to 51 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    o3-pro

    Released Jun 10, 2025

    51/100
    • ECI147.4
    • Price$20.00 / $80.00
    • Context200K
    Full specs Remove o3-pro
  2. Our pick

    Moonshot AI

    Kimi K2.7 Code

    Released Jun 12, 2026

    64/100
    • ECI150.0
    • Price$0.95 / $4.00
    • Context262K
    Full specs Remove Kimi K2.7 Code

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Kimi K2.7 Code is our pick

Kimi K2.7 Code is the better all-round choice, scoring 64/100 against o3-pro (51). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K2.7 CodeCapabilities Index (ECI): Kimi K2.7 Code 150.0 · o3-pro 147.4
  • Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · o3-pro $35.00 per 1M tokens (3:1 blend)
  • Longest contextKimi K2.7 CodeKimi K2.7 Code 262,144 · o3-pro 200,000 tokens
  • Widest inputsKimi K2.7 Codeo3-pro: Text, Images · Kimi K2.7 Code: Text, Images, Video
  • Self-hostingKimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeighto3-proKimi K2.7 Code
CapabilityCapabilities Index (ECI)50%7578
Price25%039
Inputs & features15%7080
Context window10%3237
Overall100%51/10064/100
02 — Side by side

Every spec in one table

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

o3-pro vs Kimi K2.7 Code specifications side by side
Specificationo3-proOpenAIKimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)147.4150.0 (best)
ECI rank#60 of 148#49 of 148 (best)
GPQA DiamondGraduate-level science questions—87.9%
FrontierMath Tiers 1–3Research-level mathematics—54.0%
OTIS Mock AIME 2024–2025Competition mathematics—95.6%
SimpleQA VerifiedShort factual questions—36.5%
Price per million tokens
Input$20.00$0.95 (best)
Output$80.00$4.00 (best)
Cached input—$0.19
Blended (3:1)$35.00$1.71 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Moonshot AI API
Limits
Context window200,000 tokens262,144 tokens (best)
Max output100,000 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoYes
ReasoningYeslow · medium · highYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryOpen
API model IDo3-prokimi-k2.7-code
API providers651 (best)
ReleasedJun 10, 2025Jun 12, 2026
Knowledge cutoffMay 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.

  • o3-pro$360.00
  • Kimi K2.7 Code$17.50
04 — Questions

Which should you choose?

Which is better: o3-pro or Kimi K2.7 Code?

Kimi K2.7 Code is the better all-round choice, scoring 64/100 against o3-pro (51). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, o3-pro or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). o3-pro costs $20.00 input / $80.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.71 per million tokens for Kimi K2.7 Code versus $35.00 for o3-pro (20× as much).

Which scores higher on benchmarks?

Kimi K2.7 Code scores higher on the Capabilities Index (ECI): Kimi K2.7 Code 150.0 (#49 of 148) and o3-pro 147.4 (#60 of 148). The confidence ranges of the top two overlap (148.1–151.8 vs 145.8–149.7), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for o3-pro and Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, Kimi K2.7 Code 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?

Kimi K2.7 Code has the largest context window at 262,144 tokens, against 200,000 for o3-pro. Maximum output per response: o3-pro up to 100,000, Kimi K2.7 Code up to 262,144 tokens.

Which can read images, PDFs, audio or video?

o3-pro accepts text and images; Kimi K2.7 Code accepts text, images and video. Kimi K2.7 Code handles the widest range of inputs.

Are any of these open source?

Kimi K2.7 Code publishes its weights and can be self-hosted; o3-pro is proprietary.

Which is newer?

Kimi K2.7 Code is the newest, released Jun 12, 2026. o3-pro came out Jun 10, 2025. Knowledge cutoff: o3-pro May 2024, Kimi K2.7 Code 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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