ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GPT-4o vs Mistral Large 2.1

GPT-4o comes out ahead, 43 to 38 on our weighted score, though Mistral Large 2.1 is 31% cheaper per token.

  1. Our pick

    OpenAI

    GPT-4o

    Released May 13, 2024

    43/100
    • ECI129.0
    • Price$2.50 / $10.00
    • Context128K
    Full specs Remove GPT-4o

  2. Mistral AI

    Mistral Large 2.1

    Released Nov 18, 2024

    38/100
    • ECI128.5
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2.1

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-4o is our pick

GPT-4o is the better all-round choice, scoring 43/100 against Mistral Large 2.1 (38). It leads on inputs & features. Mistral Large 2.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-4oCapabilities Index (ECI): GPT-4o 129.0 · Mistral Large 2.1 128.5
  • Lowest priceMistral Large 2.1Mistral Large 2.1 $3.00 · GPT-4o $4.38 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 2.1Mistral Large 2.1 131,072 · GPT-4o 128,000 tokens
  • Widest inputsGPT-4oGPT-4o: Text, Images, PDFs · Mistral Large 2.1: Text
  • Self-hostingMistral Large 2.1Publishes downloadable weights
How the score is built
MeasureWeightGPT-4oMistral Large 2.1
CapabilityCapabilities Index (ECI)50%5251
Price25%1927
Inputs & features15%7025
Context window10%2424
Overall100%43/10038/100
02 — Side by side

Every spec in one table

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

GPT-4o vs Mistral Large 2.1 specifications side by side
SpecificationGPT-4oOpenAIMistral Large 2.1Mistral AI
Capability
Capabilities Index (ECI)129.0 (best)128.5
ECI rank#129 of 148 (best)#130 of 148
GPQA DiamondGraduate-level science questions48.9%51.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics6.3%7.8% (best)
Price per million tokens
Input$2.50$2.00 (best)
Output$10.00$6.00 (best)
Cached input$1.25—
Blended (3:1)$4.38$3.00 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Mistral API
Limits
Context window128,000 tokens131,072 tokens (best)
Max output16,384 tokens16,384 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDgpt-4omistral-large-2411
API providers19 (best)2
ReleasedMay 13, 2024Nov 18, 2024
Knowledge cutoffSep 2023Nov 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$45.00
  • Mistral Large 2.1$32.00
04 — Questions

Which should you choose?

Which is better: GPT-4o or Mistral Large 2.1?

GPT-4o is the better all-round choice, scoring 43/100 against Mistral Large 2.1 (38). It leads on inputs & features. Mistral Large 2.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4o or Mistral Large 2.1?

Mistral Large 2.1 is cheaper at $2.00 input / $6.00 output per million tokens (official Mistral API price). GPT-4o costs $2.50 input / $10.00 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 Mistral Large 2.1 versus $4.38 for GPT-4o (1.5× as much).

Which scores higher on benchmarks?

GPT-4o scores higher on the Capabilities Index (ECI): GPT-4o 129.0 (#129 of 148) and Mistral Large 2.1 128.5 (#130 of 148). The confidence ranges of the top two overlap (124.2–131.5 vs 123.8–130.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, GPT-4o 48.9%; OTIS Mock AIME 2024–2025 — Mistral Large 2.1 7.8%, GPT-4o 6.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4o and Mistral Large 2.1 yet, so there is no like-for-like coding score. On overall capability, GPT-4o 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?

Mistral Large 2.1 has the largest context window at 131,072 tokens, against 128,000 for GPT-4o. Maximum output per response: GPT-4o up to 16,384, Mistral Large 2.1 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GPT-4o accepts text, images and PDFs; Mistral Large 2.1 accepts text. GPT-4o handles the widest range of inputs.

Are any of these open source?

Mistral Large 2.1 publishes its weights and can be self-hosted; GPT-4o is proprietary.

Which is newer?

Mistral Large 2.1 is the newest, released Nov 18, 2024. GPT-4o came out May 13, 2024. Knowledge cutoff: GPT-4o Sep 2023, Mistral Large 2.1 Nov 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.

05 — Keep comparing

Related comparisons