ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.1 24B vs Llama-3.2-11B-Vision-Instruct

Too close to call on our weighted score (Mistral Small 3.1 24B 61, Llama-3.2-11B-Vision-Instruct 58). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    61/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
    Full specs Remove Mistral Small 3.1 24B

  2. 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

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Mistral Small 3.1 24B 61/100, Llama-3.2-11B-Vision-Instruct 58/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct 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 priceLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct $0.275 · Mistral Small 3.1 24B $0.281 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMistral Small 3.1 24B 128,000 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
  • Widest inputsSame inputsMistral Small 3.1 24B: Text, Images · Llama-3.2-11B-Vision-Instruct: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Small 3.1 24BLlama-3.2-11B-Vision-Instruct
Price50%7676
Inputs & features30%6050
Context window20%2424
Overall100%61/10058/100

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.

Mistral Small 3.1 24B vs Llama-3.2-11B-Vision-Instruct specifications side by side
SpecificationMistral Small 3.1 24BMistral AILlama-3.2-11B-Vision-InstructMeta
Capability
Capabilities Index (ECI)127.5—
ECI rank#132 of 148—
GPQA DiamondGraduate-level science questions47.5%—
OTIS Mock AIME 2024–2025Competition mathematics5.8%—
Price per million tokens
Input$0.229$0.197 (best)
Output$0.436 (best)$0.51
Cached input——
Blended (3:1)$0.281$0.275 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 2 providers
Limits
Context window128,000 tokens128,000 tokens
Max output16,384 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpen
API model ID——
API providers22
ReleasedMar 17, 2025Sep 25, 2024
Knowledge cutoffJun 2024Dec 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 Small 3.1 24B$3.16
  • Llama-3.2-11B-Vision-Instruct$2.99
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B or Llama-3.2-11B-Vision-Instruct?

It is close. Our weighted score puts them within 3 points (Mistral Small 3.1 24B 61/100, Llama-3.2-11B-Vision-Instruct 58/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct 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, Mistral Small 3.1 24B or Llama-3.2-11B-Vision-Instruct?

Llama-3.2-11B-Vision-Instruct is cheaper at $0.197 input / $0.51 output per million tokens (median across 2 API providers). Mistral Small 3.1 24B costs $0.229 input / $0.436 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.275 per million tokens for Llama-3.2-11B-Vision-Instruct versus $0.281 for Mistral Small 3.1 24B (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Mistral Small 3.1 24B has an ECI of 127.5 and Llama-3.2-11B-Vision-Instruct has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B and Llama-3.2-11B-Vision-Instruct 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?

Mistral Small 3.1 24B and Llama-3.2-11B-Vision-Instruct share the same 128,000-token context window. Maximum output per response: Mistral Small 3.1 24B up to 16,384, Llama-3.2-11B-Vision-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; Llama-3.2-11B-Vision-Instruct accepts text and images. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

Mistral Small 3.1 24B is the newest, released Mar 17, 2025. Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Mistral Small 3.1 24B Jun 2024, Llama-3.2-11B-Vision-Instruct 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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