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Comparison · 2 models · Updated Nov 2, 2026

Mistral Small 3.2 24B vs Llama 4 Scout 17B Instruct

Llama 4 Scout 17B Instruct comes out ahead, 72 to 65 on our weighted score, though Mistral Small 3.2 24B is 45% cheaper per token.

  1. Mistral AI

    Mistral Small 3.2 24B

    Released Jun 20, 2025

    65/100
    • ECI—
    • Price$0.10 / $0.305
    • Context256K
    Full specs Remove Mistral Small 3.2 24B
  2. Our pick

    Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    72/100
    • ECI129.6
    • Price$0.17 / $0.59
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Llama 4 Scout 17B Instruct is our pick

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 72/100 against Mistral Small 3.2 24B (65). It leads on context window. Mistral Small 3.2 24B 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 Small 3.2 24BMistral Small 3.2 24B $0.151 · Llama 4 Scout 17B Instruct $0.275 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Mistral Small 3.2 24B 256,000 tokens
  • Widest inputsSame inputsMistral Small 3.2 24B: Text, Images · Llama 4 Scout 17B 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 3.2 24BLlama 4 Scout 17B Instruct
Price50%8573
Inputs & features30%5050
Context window20%36100
Overall100%65/10072/100

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 3.2 24B vs Llama 4 Scout 17B Instruct specifications side by side
SpecificationMistral Small 3.2 24BMistral AILlama 4 Scout 17B InstructMeta
Capability
Capabilities Index (ECI)—129.6
ECI rank—#138 of 165
GPQA DiamondGraduate-level science questions—51.8%
OTIS Mock AIME 2024–2025Competition mathematics—7.8%
Price per million tokens
Input$0.10 (best)$0.17
Output$0.305 (best)$0.59
Cached input——
Blended (3:1)$0.151 (best)$0.275
Long-context rateSame rateSame rate
Price sourceMedian of 8 providersMedian of 13 providers
Limits
Context window256,000 tokens10,000,000 tokens (best)
Max output16,384 tokens16,384 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID——
API providers813 (best)
ReleasedJun 20, 2025Apr 5, 2025
Knowledge cutoffOct 31, 2023Aug 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.

  • Mistral Small 3.2 24B$1.61
  • Llama 4 Scout 17B Instruct$2.88
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.2 24B or Llama 4 Scout 17B Instruct?

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 72/100 against Mistral Small 3.2 24B (65). It leads on context window. Mistral Small 3.2 24B 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, Mistral Small 3.2 24B or Llama 4 Scout 17B Instruct?

Mistral Small 3.2 24B is cheaper at $0.10 input / $0.305 output per million tokens (median across 8 API providers). Llama 4 Scout 17B Instruct costs $0.17 input / $0.59 output per million tokens (median across 13 API providers). At a typical mix of three input tokens to one output token, that is $0.151 per million tokens for Mistral Small 3.2 24B versus $0.275 for Llama 4 Scout 17B Instruct (1.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Mistral Small 3.2 24B has not been scored yet and Llama 4 Scout 17B Instruct has an ECI of 129.6.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.2 24B and Llama 4 Scout 17B 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 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 256,000 for Mistral Small 3.2 24B. Maximum output per response: Mistral Small 3.2 24B up to 16,384, Llama 4 Scout 17B Instruct up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.2 24B accepts text and images; Llama 4 Scout 17B 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 3.2 24B is the newest, released Jun 20, 2025. Llama 4 Scout 17B Instruct came out Apr 5, 2025. Knowledge cutoff: Mistral Small 3.2 24B Oct 31, 2023, Llama 4 Scout 17B Instruct Aug 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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