ZMIME
Comparison · 2 models · Updated Nov 2, 2026

GPT-4o mini vs Mistral Large

GPT-4o mini comes out ahead, 55 to 44 on our weighted score, and it is the cheaper option too.

  1. Our pick

    OpenAI

    GPT-4o mini

    Released Jul 18, 2024

    55/100
    • ECI126.5
    • Price$0.15 / $0.60
    • Context128K
    Full specs Remove GPT-4o mini

  2. Mistral AI

    Mistral Large

    Released Feb 26, 2024

    44/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
    Full specs Remove Mistral Large

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-4o mini is our pick

GPT-4o mini is the better all-round choice, scoring 55/100 against Mistral Large (44). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-4o miniCapabilities Index (ECI): GPT-4o mini 126.5 · Mistral Large 122.0
  • Lowest priceGPT-4o miniGPT-4o mini $0.263 · Mistral Large $0.75 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-4o mini 128,000 · Mistral Large 128,000 tokens
  • Widest inputsGPT-4o miniGPT-4o mini: Text, Images, PDFs · Mistral Large: Text, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-4o miniMistral Large
CapabilityCapabilities Index (ECI)50%4742
Price25%7453
Inputs & features15%7045
Context window10%2424
Overall100%55/10044/100
02 — Side by side

Every spec in one table

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

GPT-4o mini vs Mistral Large specifications side by side
SpecificationGPT-4o miniOpenAIMistral LargeMistral AI
Capability
Capabilities Index (ECI)126.5 (best)122.0
ECI rank#148 of 165 (best)#153 of 165
GPQA DiamondGraduate-level science questions37.7%38.8% (best)
FrontierMath Tiers 1–3Research-level mathematics0.7%—
OTIS Mock AIME 2024–2025Competition mathematics6.9% (best)1.9%
SimpleQA VerifiedShort factual questions8.3%—
Price per million tokens
Input$0.15 (best)$0.50
Output$0.60 (best)$1.50
Cached input$0.075$0.05 (best)
Blended (3:1)$0.263 (best)$0.75
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Mistral API
Limits
Context window128,000 tokens128,000 tokens
Max output16,384 tokens102,400 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-4o-minimistral-large-latest
API providers26 (best)11
ReleasedJul 18, 2024Feb 26, 2024
Knowledge cutoffSep 2023Nov 30, 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.

  • GPT-4o mini$2.70
  • Mistral Large$8.00
04 — Questions

Which should you choose?

Which is better: GPT-4o mini or Mistral Large?

GPT-4o mini is the better all-round choice, scoring 55/100 against Mistral Large (44). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4o mini or Mistral Large?

GPT-4o mini is cheaper at $0.15 input / $0.60 output per million tokens (official OpenAI API price). Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT-4o mini versus $0.75 for Mistral Large (2.9× as much).

Which scores higher on benchmarks?

GPT-4o mini scores higher on the Capabilities Index (ECI): GPT-4o mini 126.5 (#148 of 165) and Mistral Large 122.0 (#153 of 165). The confidence ranges of the top two overlap (120.5–128.6 vs 115.7–124.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, GPT-4o mini 37.7%; OTIS Mock AIME 2024–2025 — GPT-4o mini 6.9%, Mistral Large 1.9%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4o mini and Mistral Large yet, so there is no like-for-like coding score. On overall capability, GPT-4o mini 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?

GPT-4o mini and Mistral Large share the same 128,000-token context window. Maximum output per response: GPT-4o mini up to 16,384, Mistral Large up to 102,400 tokens.

Which can read images, PDFs, audio or video?

GPT-4o mini accepts text, images and PDFs; Mistral Large accepts text and PDFs. GPT-4o mini handles the widest range of inputs.

Are any of these open source?

No. GPT-4o mini and Mistral Large are proprietary and only available through APIs and apps.

Which is newer?

GPT-4o mini is the newest, released Jul 18, 2024. Mistral Large came out Feb 26, 2024. Knowledge cutoff: GPT-4o mini Sep 2023, Mistral Large Nov 30, 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 Nov 2, 2026.

05 — Keep comparing

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