ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Mistral Small 3.1 24B vs Mistral Small 3.2 vs Llama 4 Scout 17B Instruct

Too close to call on our weighted score (Llama 4 Scout 17B Instruct 62, Mistral Small 3.2 60, Mistral Small 3.1 24B 55). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    55/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
    Full specs Remove Mistral Small 3.1 24B

  2. Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025

    60/100
    • ECI131.7
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

  3. Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    62/100
    • ECI129.7
    • Price$0.225 / $0.69
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Llama 4 Scout 17B Instruct 62/100, Mistral Small 3.2 60/100, Mistral Small 3.1 24B 55/100), so choose by what matters most for your work: Mistral Small 3.2 for raw capability and Llama 4 Scout 17B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Small 3.2Capabilities Index (ECI): Mistral Small 3.2 131.7 · Llama 4 Scout 17B Instruct 129.7 · Mistral Small 3.1 24B 127.5
  • Lowest priceMistral Small 3.2Mistral Small 3.2 $0.15 · Mistral Small 3.1 24B $0.281 · Llama 4 Scout 17B Instruct $0.341 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Mistral Small 3.1 24B 128,000 · Mistral Small 3.2 128,000 tokens
  • Widest inputsSame inputsMistral Small 3.1 24B: Text, Images · Mistral Small 3.2: 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 3.1 24BMistral Small 3.2Llama 4 Scout 17B Instruct
CapabilityCapabilities Index (ECI)50%505552
Price25%768972
Inputs & features15%605050
Context window10%2424100
Overall100%55/10060/10062/100
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 Mistral Small 3.2 vs Llama 4 Scout 17B Instruct specifications side by side
SpecificationMistral Small 3.1 24BMistral AIMistral Small 3.2Mistral AILlama 4 Scout 17B InstructMeta
Capability
Capabilities Index (ECI)127.5131.7 (best)129.7
ECI rank#132 of 148#123 of 148 (best)#126 of 148
GPQA DiamondGraduate-level science questions47.5%49.1%51.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics5.8%30.3% (best)7.8%
Price per million tokens
Input$0.229$0.10 (best)$0.225
Output$0.436$0.30 (best)$0.69
Cached input———
Blended (3:1)$0.281$0.15 (best)$0.341
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Mistral APIMedian of 4 providers
Limits
Context window128,000 tokens128,000 tokens10,000,000 tokens (best)
Max output16,384 tokens16,384 tokens16,384 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsOpenOpenOpen
API model ID—mistral-small-2506—
API providers26 (best)4
ReleasedMar 17, 2025Jun 20, 2025Apr 5, 2025
Knowledge cutoffJun 2024Mar 2025Aug 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 3.1 24B$3.16
  • Mistral Small 3.2$1.60
  • Llama 4 Scout 17B Instruct$3.63
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B, Mistral Small 3.2 or Llama 4 Scout 17B Instruct?

It is close. Our weighted score puts them within 2 points (Llama 4 Scout 17B Instruct 62/100, Mistral Small 3.2 60/100, Mistral Small 3.1 24B 55/100), so choose by what matters most for your work: Mistral Small 3.2 for raw capability and Llama 4 Scout 17B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Small 3.1 24B, Mistral Small 3.2 or Llama 4 Scout 17B Instruct?

Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Mistral Small 3.1 24B costs $0.229 input / $0.436 output per million tokens (median across 2 API providers); Llama 4 Scout 17B Instruct costs $0.225 input / $0.69 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Mistral Small 3.2 versus $0.281 for Mistral Small 3.1 24B (1.9× as much) and $0.341 for Llama 4 Scout 17B Instruct (2.3× as much).

Which scores higher on benchmarks?

Mistral Small 3.2 scores higher on the Capabilities Index (ECI): Mistral Small 3.2 131.7 (#123 of 148), Llama 4 Scout 17B Instruct 129.7 (#126 of 148) and Mistral Small 3.1 24B 127.5 (#132 of 148). The confidence ranges of the top two overlap (126.6–133.9 vs 124.8–131.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama 4 Scout 17B Instruct 51.8%, Mistral Small 3.2 49.1%, Mistral Small 3.1 24B 47.5%; OTIS Mock AIME 2024–2025 — Mistral Small 3.2 30.3%, Llama 4 Scout 17B Instruct 7.8%, Mistral Small 3.1 24B 5.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B, Mistral Small 3.2 and Llama 4 Scout 17B Instruct yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.2 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?

Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 128,000 for Mistral Small 3.1 24B and 128,000 for Mistral Small 3.2. Maximum output per response: Mistral Small 3.1 24B up to 16,384, Mistral Small 3.2 up to 16,384, Llama 4 Scout 17B Instruct up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; Mistral Small 3.2 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, all three publish their weights, so you can self-host them.

Which is newer?

Mistral Small 3.2 is the newest, released Jun 20, 2025. Llama 4 Scout 17B Instruct came out Apr 5, 2025; Mistral Small 3.1 24B came out Mar 17, 2025. Knowledge cutoff: Mistral Small 3.1 24B Jun 2024, Mistral Small 3.2 Mar 2025, 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 Oct 4, 2026.

05 — Keep comparing

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