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Comparison · 2 models · Updated Oct 4, 2026

Pixtral Large (25.02) vs o3-pro

Pixtral Large (25.02) comes out ahead, 33 to 27 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Mistral AI

    Pixtral Large (25.02)

    Released Apr 8, 2025

    33/100
    • ECI—
    • Price$2.00 / $6.00
    • Context128K
  2. OpenAI

    o3-pro

    Released Jun 10, 2025

    27/100
    • ECI147.4
    • Price$20.00 / $80.00
    • Context200K
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Pixtral Large (25.02) is our pick

Pixtral Large (25.02) is the better all-round choice, scoring 33/100 against o3-pro (27). It leads on price. o3-pro wins on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest pricePixtral Large (25.02)Pixtral Large (25.02) $3.00 · o3-pro $35.00 per 1M tokens (3:1 blend)
  • Longest contexto3-proo3-pro 200,000 · Pixtral Large (25.02) 128,000 tokens
  • Widest inputsSame inputsPixtral Large (25.02): Text, Images · o3-pro: Text, Images
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightPixtral Large (25.02)o3-pro
Price50%270
Inputs & features30%5070
Context window20%2432
Overall100%33/10027/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Pixtral Large (25.02) vs o3-pro specifications side by side
SpecificationPixtral Large (25.02)Mistral AIo3-proOpenAI
Capability
Capabilities Index (ECI)—147.4
ECI rank—#60 of 148
Price per million tokens
Input$2.00 (best)$20.00
Output$6.00 (best)$80.00
Cached input——
Blended (3:1)$3.00 (best)$35.00
Long-context rateSame rateSame rate
Price sourceMedian of 3 providersOfficial OpenAI API
Limits
Context window128,000 tokens200,000 tokens (best)
Max output8,192 tokens100,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYeslow · medium · high
Tool callingYesYes
Structured outputNoYes
Availability
WeightsProprietaryProprietary
API model ID—o3-pro
API providers36 (best)
ReleasedApr 8, 2025Jun 10, 2025
Knowledge cutoff—May 2024
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.

  • Pixtral Large (25.02)$32.00
  • o3-pro$360.00
04 — Questions

Which should you choose?

Which is better: Pixtral Large (25.02) or o3-pro?

Pixtral Large (25.02) is the better all-round choice, scoring 33/100 against o3-pro (27). It leads on price. o3-pro wins on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Pixtral Large (25.02) or o3-pro?

Pixtral Large (25.02) is cheaper at $2.00 input / $6.00 output per million tokens (median across 3 API providers). 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 $3.00 per million tokens for Pixtral Large (25.02) versus $35.00 for o3-pro (12× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Pixtral Large (25.02) has not been scored yet and o3-pro has an ECI of 147.4.

Which is better for coding?

There are no published SWE-bench Verified results for Pixtral Large (25.02) and o3-pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

o3-pro has the largest context window at 200,000 tokens, against 128,000 for Pixtral Large (25.02). Maximum output per response: Pixtral Large (25.02) up to 8,192, o3-pro up to 100,000 tokens.

Which can read images, PDFs, audio or video?

Pixtral Large (25.02) accepts text and images; o3-pro accepts text and images. They handle the same number of input types.

Are any of these open source?

No. Pixtral Large (25.02) and o3-pro are proprietary and only available through APIs and apps.

Which is newer?

o3-pro is the newest, released Jun 10, 2025. Pixtral Large (25.02) came out Apr 8, 2025. Knowledge cutoff: o3-pro May 2024.

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.