ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Voxtral Small 24B 2507 vs Llama-3.2-11B-Vision-Instruct

Too close to call on our weighted score (Llama-3.2-11B-Vision-Instruct 58, Voxtral Small 24B 2507 55). The right pick depends on what you value most.

  1. Mistral AI

    Voxtral Small 24B 2507

    Released Jul 15, 2025

    55/100
    • ECI—
    • Price$0.10 / $0.30
    • Context33K
    Full specs Remove Voxtral Small 24B 2507

  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 (Llama-3.2-11B-Vision-Instruct 58/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Llama-3.2-11B-Vision-Instruct for long inputs. 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 priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.15 · 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 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsSame inputsVoxtral Small 24B 2507: Text, Audio · 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
MeasureWeightVoxtral Small 24B 2507Llama-3.2-11B-Vision-Instruct
Price50%8976
Inputs & features30%3550
Context window20%024
Overall100%55/10058/100

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.

Voxtral Small 24B 2507 vs Llama-3.2-11B-Vision-Instruct specifications side by side
SpecificationVoxtral Small 24B 2507Mistral AILlama-3.2-11B-Vision-InstructMeta
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.10 (best)$0.197
Output$0.30 (best)$0.51
Cached input——
Blended (3:1)$0.15 (best)$0.275
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 2 providers
Limits
Context window32,768 tokens128,000 tokens (best)
Max output32,768 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioYesNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache 2.0Open
API model IDvoxtral-small-latest—
API providers7 (best)2
ReleasedJul 15, 2025Sep 25, 2024
Knowledge cutoff—Dec 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.

  • Voxtral Small 24B 2507$1.60
  • Llama-3.2-11B-Vision-Instruct$2.99
04 — Questions

Which should you choose?

Which is better: Voxtral Small 24B 2507 or Llama-3.2-11B-Vision-Instruct?

It is close. Our weighted score puts them within 3 points (Llama-3.2-11B-Vision-Instruct 58/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price and Llama-3.2-11B-Vision-Instruct for long inputs. 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, Voxtral Small 24B 2507 or Llama-3.2-11B-Vision-Instruct?

Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.30 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 $0.15 per million tokens for Voxtral Small 24B 2507 versus $0.275 for Llama-3.2-11B-Vision-Instruct (1.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Voxtral Small 24B 2507 has not been scored yet 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 Voxtral Small 24B 2507 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?

Llama-3.2-11B-Vision-Instruct has the largest context window at 128,000 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Voxtral Small 24B 2507 up to 32,768, Llama-3.2-11B-Vision-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Voxtral Small 24B 2507 accepts text and audio; 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 (Apache 2.0), so you can self-host them.

Which is newer?

Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: 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

Related comparisons