ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Mistral Large 2407 vs Claude Haiku 3.5 vs GPT-4o

Claude Haiku 3.5 comes out ahead, 46 to 43 and 39 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mistral Large 2407

    Released Jul 24, 2024

    39/100
    • ECI127.6
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2407
  2. Our pick

    Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

    46/100
    • ECI127.0
    • Price$0.80 / $4.00
    • Context200K
    Full specs Remove Claude Haiku 3.5

  3. OpenAI

    GPT-4o

    Released May 13, 2024

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

Claude Haiku 3.5 is our pick

Claude Haiku 3.5 is the better all-round choice, scoring 46/100 against GPT-4o (43) and Mistral Large 2407 (39). It leads on price and context window. GPT-4o wins on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-4oCapabilities Index (ECI): GPT-4o 129.0 · Mistral Large 2407 127.6 · Claude Haiku 3.5 127.0
  • Lowest priceClaude Haiku 3.5Claude Haiku 3.5 $1.60 · Mistral Large 2407 $3.00 · GPT-4o $4.38 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mistral Large 2407 131,072 · GPT-4o 128,000 tokens
  • Widest inputsClaude Haiku 3.5 and GPT-4oMistral Large 2407: Text, PDFs · Claude Haiku 3.5: Text, Images, PDFs · GPT-4o: Text, Images, PDFs
  • Self-hostingMistral Large 2407Publishes downloadable weights
How the score is built
MeasureWeightMistral Large 2407Claude Haiku 3.5GPT-4o
CapabilityCapabilities Index (ECI)50%494851
Price25%263819
Inputs & features15%356070
Context window10%253224
Overall100%39/10046/10043/100
02 — Side by side

Every spec in one table

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

Mistral Large 2407 vs Claude Haiku 3.5 vs GPT-4o specifications side by side
SpecificationMistral Large 2407Mistral AIClaude Haiku 3.5AnthropicGPT-4oOpenAI
Capability
Capabilities Index (ECI)127.6127.0129.0 (best)
ECI rank#144 of 165#147 of 165#141 of 165 (best)
GPQA DiamondGraduate-level science questions49.0% (best)38.1%48.9%
OTIS Mock AIME 2024–2025Competition mathematics8.5% (best)4.3%6.3%
Price per million tokens
Input$2.00$0.80 (best)$2.50
Output$6.00$4.00 (best)$10.00
Cached input——$1.25
Blended (3:1)$3.00$1.60 (best)$4.38
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 5 providersMedian of 3 providersOfficial OpenAI API
Limits
Context window131,072 tokens200,000 tokens (best)128,000 tokens
Max output104,857 tokens (best)8,192 tokens16,384 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsYesYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenProprietaryProprietary
API model ID——gpt-4o
API providers5426 (best)
ReleasedJul 24, 2024Oct 22, 2024May 13, 2024
Knowledge cutoffMar 31, 2024Jul 31, 2024Sep 2023
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.

  • Mistral Large 2407$32.00
  • Claude Haiku 3.5$16.00
  • GPT-4o$45.00
04 — Questions

Which should you choose?

Which is better: Mistral Large 2407, Claude Haiku 3.5 or GPT-4o?

Claude Haiku 3.5 is the better all-round choice, scoring 46/100 against GPT-4o (43) and Mistral Large 2407 (39). It leads on price and context window. GPT-4o wins on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 2407, Claude Haiku 3.5 or GPT-4o?

Claude Haiku 3.5 is cheaper at $0.80 input / $4.00 output per million tokens (median across 3 API providers). Mistral Large 2407 costs $2.00 input / $6.00 output per million tokens (median across 5 API providers); 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 $1.60 per million tokens for Claude Haiku 3.5 versus $3.00 for Mistral Large 2407 (1.9× as much) and $4.38 for GPT-4o (2.7× as much).

Which scores higher on benchmarks?

GPT-4o scores higher on the Capabilities Index (ECI): GPT-4o 129.0 (#141 of 165), Mistral Large 2407 127.6 (#144 of 165) and Claude Haiku 3.5 127.0 (#147 of 165). The confidence ranges of the top two overlap (124.7–131.3 vs 123.3–129.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2407 49.0%, GPT-4o 48.9%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Mistral Large 2407 8.5%, GPT-4o 6.3%, Claude Haiku 3.5 4.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 2407, Claude Haiku 3.5 and GPT-4o 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. All three support tool calling for agent workflows.

Which has the bigger context window?

Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 131,072 for Mistral Large 2407 and 128,000 for GPT-4o. Maximum output per response: Mistral Large 2407 up to 104,857, Claude Haiku 3.5 up to 8,192, GPT-4o up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 2407 accepts text and PDFs; Claude Haiku 3.5 accepts text, images and PDFs; GPT-4o accepts text, images and PDFs. Claude Haiku 3.5 handles the widest range of inputs.

Are any of these open source?

Mistral Large 2407 publishes its weights and can be self-hosted; Claude Haiku 3.5 and GPT-4o is proprietary.

Which is newer?

Claude Haiku 3.5 is the newest, released Oct 22, 2024. Mistral Large 2407 came out Jul 24, 2024; GPT-4o came out May 13, 2024. Knowledge cutoff: Mistral Large 2407 Mar 31, 2024, Claude Haiku 3.5 Jul 31, 2024, GPT-4o Sep 2023.

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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