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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.2-11B-Vision-Instruct vs Mistral 7B

Llama-3.2-11B-Vision-Instruct comes out ahead, 58 to 47 on our weighted score, though Mistral 7B is 9% cheaper per token.

  1. Our pick

    Meta

    Llama-3.2-11B-Vision-Instruct

    Released Sep 25, 2024

    58/100
    • ECI—
    • Price$0.197 / $0.51
    • Context128K
    Full specs Remove Llama-3.2-11B-Vision-Instruct

  2. Mistral AI

    Mistral 7B

    Released Sep 27, 2023

    47/100
    • ECI—
    • Price$0.25 / $0.25
    • Context8K
    Full specs Remove Mistral 7B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Llama-3.2-11B-Vision-Instruct is our pick

Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 58/100 against Mistral 7B (47). It leads on inputs & features and context window. Mistral 7B wins on price. 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 priceMistral 7BMistral 7B $0.25 · Llama-3.2-11B-Vision-Instruct $0.275 per 1M tokens (3:1 blend)
  • Longest contextLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct 128,000 · Mistral 7B 8,000 tokens
  • Widest inputsLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct: Text, Images · Mistral 7B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama-3.2-11B-Vision-InstructMistral 7B
Price50%7678
Inputs & features30%5025
Context window20%240
Overall100%58/10047/100

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.

Llama-3.2-11B-Vision-Instruct vs Mistral 7B specifications side by side
SpecificationLlama-3.2-11B-Vision-InstructMetaMistral 7BMistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.197 (best)$0.25
Output$0.51$0.25 (best)
Cached input——
Blended (3:1)$0.275$0.25 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Mistral API
Limits
Context window128,000 tokens (best)8,000 tokens
Max output4,096 tokens8,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID—open-mistral-7b
API providers2 (best)1
ReleasedSep 25, 2024Sep 27, 2023
Knowledge cutoffDec 2023Dec 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.

  • Llama-3.2-11B-Vision-Instruct$2.99
  • Mistral 7B$3.00
04 — Questions

Which should you choose?

Which is better: Llama-3.2-11B-Vision-Instruct or Mistral 7B?

Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 58/100 against Mistral 7B (47). It leads on inputs & features and context window. Mistral 7B wins on price. 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, Llama-3.2-11B-Vision-Instruct or Mistral 7B?

Mistral 7B is cheaper at $0.25 input / $0.25 output per million tokens (official Mistral API price). Llama-3.2-11B-Vision-Instruct costs $0.197 input / $0.51 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Mistral 7B versus $0.275 for Llama-3.2-11B-Vision-Instruct (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama-3.2-11B-Vision-Instruct has not been scored yet and Mistral 7B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.2-11B-Vision-Instruct and Mistral 7B 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?

Llama-3.2-11B-Vision-Instruct has the largest context window at 128,000 tokens, against 8,000 for Mistral 7B. Maximum output per response: Llama-3.2-11B-Vision-Instruct up to 4,096, Mistral 7B up to 8,000 tokens.

Which can read images, PDFs, audio or video?

Llama-3.2-11B-Vision-Instruct accepts text and images; Mistral 7B accepts text. Llama-3.2-11B-Vision-Instruct handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Llama-3.2-11B-Vision-Instruct is the newest, released Sep 25, 2024. Mistral 7B came out Sep 27, 2023. Knowledge cutoff: Llama-3.2-11B-Vision-Instruct Dec 2023, Mistral 7B Dec 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 Oct 4, 2026.

05 — Keep comparing

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