ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GPT-4o vs Llama-3.2-90B-Vision-Instruct vs Mistral Large 2407

GPT-4o comes out ahead, 51 to 44 and 43 on our weighted score, though Mistral Large 2407 is 31% cheaper per token.

  1. Our pick

    OpenAI

    GPT-4o

    Released May 13, 2024

    51/100
    • ECI129.0
    • Price$2.50 / $10.00
    • Context128K
    Full specs Remove GPT-4o

  2. Meta

    Llama-3.2-90B-Vision-Instruct

    Released Sep 25, 2024

    44/100
    • ECI125.5
    • Price—
    • Context128K
    Full specs Remove Llama-3.2-90B-Vision-Instruct

  3. Mistral AI

    Mistral Large 2407

    Released Jul 24, 2024

    43/100
    • ECI127.6
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2407
01 — Verdict

GPT-4o is our pick

GPT-4o is the better all-round choice, scoring 51/100 against Llama-3.2-90B-Vision-Instruct (44) and Mistral Large 2407 (43). It leads on capability and inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityGPT-4oCapabilities Index (ECI): GPT-4o 129.0 · Mistral Large 2407 127.6 · Llama-3.2-90B-Vision-Instruct 125.5
  • Lowest priceMistral Large 2407Mistral Large 2407 $3.00 · GPT-4o $4.38 per 1M tokens (3:1 blend) · Llama-3.2-90B-Vision-Instruct unpriced
  • Longest contextMistral Large 2407Mistral Large 2407 131,072 · GPT-4o 128,000 · Llama-3.2-90B-Vision-Instruct 128,000 tokens
  • Widest inputsGPT-4oGPT-4o: Text, Images, PDFs · Llama-3.2-90B-Vision-Instruct: Text, Images · Mistral Large 2407: Text, PDFs
  • Self-hostingLlama-3.2-90B-Vision-Instruct and Mistral Large 2407Publishes downloadable weights (Llama 3.2 Community License)
How the score is built
MeasureWeightGPT-4oLlama-3.2-90B-Vision-InstructMistral Large 2407
CapabilityCapabilities Index (ECI)67%514649
Inputs & features20%705035
Context window13%242425
Overall100%51/10044/10043/100

Left out because at least one model lacks the data: price. 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.

GPT-4o vs Llama-3.2-90B-Vision-Instruct vs Mistral Large 2407 specifications side by side
SpecificationGPT-4oOpenAILlama-3.2-90B-Vision-InstructMetaMistral Large 2407Mistral AI
Capability
Capabilities Index (ECI)129.0 (best)125.5127.6
ECI rank#141 of 165 (best)#150 of 165#144 of 165
GPQA DiamondGraduate-level science questions48.9%41.0%49.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics6.3%2.6%8.5% (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 rate—Same rate
Price sourceOfficial OpenAI API—Median of 5 providers
Limits
Context window128,000 tokens128,000 tokens131,072 tokens (best)
Max output16,384 tokens4,096 tokens104,857 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenLlama 3.2 Community LicenseOpen
API model IDgpt-4o——
API providers26 (best)15
ReleasedMay 13, 2024Sep 25, 2024Jul 24, 2024
Knowledge cutoffSep 2023Dec 2023Mar 31, 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
  • Llama-3.2-90B-Vision-Instruct—
  • Mistral Large 2407$32.00
04 — Questions

Which should you choose?

Which is better: GPT-4o, Llama-3.2-90B-Vision-Instruct or Mistral Large 2407?

GPT-4o is the better all-round choice, scoring 51/100 against Llama-3.2-90B-Vision-Instruct (44) and Mistral Large 2407 (43). It leads on capability and inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, GPT-4o, Llama-3.2-90B-Vision-Instruct or Mistral Large 2407?

Mistral Large 2407 is cheaper at $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 $3.00 per million tokens for Mistral Large 2407 versus $4.38 for GPT-4o (1.5× as much). Llama-3.2-90B-Vision-Instruct has no published per-token price.

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 Llama-3.2-90B-Vision-Instruct 125.5 (#150 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%, Llama-3.2-90B-Vision-Instruct 41.0%; OTIS Mock AIME 2024–2025 — Mistral Large 2407 8.5%, GPT-4o 6.3%, Llama-3.2-90B-Vision-Instruct 2.6%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4o, Llama-3.2-90B-Vision-Instruct and Mistral Large 2407 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?

Mistral Large 2407 has the largest context window at 131,072 tokens, against 128,000 for GPT-4o and 128,000 for Llama-3.2-90B-Vision-Instruct. Maximum output per response: GPT-4o up to 16,384, Llama-3.2-90B-Vision-Instruct up to 4,096, Mistral Large 2407 up to 104,857 tokens.

Which can read images, PDFs, audio or video?

GPT-4o accepts text, images and PDFs; Llama-3.2-90B-Vision-Instruct accepts text and images; Mistral Large 2407 accepts text and PDFs. GPT-4o handles the widest range of inputs.

Are any of these open source?

Llama-3.2-90B-Vision-Instruct and Mistral Large 2407 publishes its weights (Llama 3.2 Community License) and can be self-hosted; GPT-4o is proprietary.

Which is newer?

Llama-3.2-90B-Vision-Instruct is the newest, released Sep 25, 2024. Mistral Large 2407 came out Jul 24, 2024; GPT-4o came out May 13, 2024. Knowledge cutoff: GPT-4o Sep 2023, Llama-3.2-90B-Vision-Instruct Dec 2023, Mistral Large 2407 Mar 31, 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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