ZMIME
Comparison · 3 models · Updated Oct 4, 2026

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

Llama 4 Scout 17B Instruct comes out ahead, 71 to 64 and 61 on our weighted score, though Mistral Small 4 is 23% cheaper per token.

  1. Our pick

    Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    71/100
    • ECI129.7
    • Price$0.225 / $0.69
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct

  2. 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

  3. Mistral AI

    Mistral Small 4

    Released Mar 16, 2026

    64/100
    • ECI—
    • Price$0.15 / $0.60
    • Context256K
    Full specs Remove Mistral Small 4
01 — Verdict

Llama 4 Scout 17B Instruct is our pick

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 71/100 against Mistral Small 4 (64) and Mistral Small 3.1 24B (61). It leads on context window. 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 4Mistral Small 4 $0.263 · 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 4 256,000 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsSame inputsLlama 4 Scout 17B Instruct: Text, Images · Mistral Small 3.1 24B: Text, Images · Mistral Small 4: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama 4 Scout 17B InstructMistral Small 3.1 24BMistral Small 4
Price50%727677
Inputs & features30%506060
Context window20%1002436
Overall100%71/10061/10064/100

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 4 Scout 17B Instruct vs Mistral Small 3.1 24B vs Mistral Small 4 specifications side by side
SpecificationLlama 4 Scout 17B InstructMetaMistral Small 3.1 24BMistral AIMistral Small 4Mistral AI
Capability
Capabilities Index (ECI)129.7 (best)127.5—
ECI rank#126 of 148 (best)#132 of 148—
GPQA DiamondGraduate-level science questions51.8% (best)47.5%—
OTIS Mock AIME 2024–2025Competition mathematics7.8% (best)5.8%—
Price per million tokens
Input$0.225$0.229$0.15 (best)
Output$0.69$0.436 (best)$0.60
Cached input——$0.015
Blended (3:1)$0.341$0.281$0.263 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 4 providersMedian of 2 providersOfficial Mistral API
Limits
Context window10,000,000 tokens (best)128,000 tokens256,000 tokens
Max output16,384 tokens16,384 tokens256,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoYeshigh
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenOpenOpen
API model ID——mistral-small-2603
API providers4216 (best)
ReleasedApr 5, 2025Mar 17, 2025Mar 16, 2026
Knowledge cutoffAug 2024Jun 2024Jun 2025
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 4 Scout 17B Instruct$3.63
  • Mistral Small 3.1 24B$3.16
  • Mistral Small 4$2.70
04 — Questions

Which should you choose?

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

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 71/100 against Mistral Small 4 (64) and Mistral Small 3.1 24B (61). It leads on context window. 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 4 Scout 17B Instruct, Mistral Small 3.1 24B or Mistral Small 4?

Mistral Small 4 is cheaper at $0.15 input / $0.60 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 $0.263 per million tokens for Mistral Small 4 versus $0.281 for Mistral Small 3.1 24B (1.1× as much) and $0.341 for Llama 4 Scout 17B Instruct (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Llama 4 Scout 17B Instruct has an ECI of 129.7, Mistral Small 3.1 24B has an ECI of 127.5 and Mistral Small 4 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 4 Scout 17B Instruct, Mistral Small 3.1 24B and Mistral Small 4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. 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 256,000 for Mistral Small 4 and 128,000 for Mistral Small 3.1 24B. Maximum output per response: Llama 4 Scout 17B Instruct up to 16,384, Mistral Small 3.1 24B up to 16,384, Mistral Small 4 up to 256,000 tokens.

Which can read images, PDFs, audio or video?

Llama 4 Scout 17B Instruct accepts text and images; Mistral Small 3.1 24B accepts text and images; Mistral Small 4 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 4 is the newest, released Mar 16, 2026. Llama 4 Scout 17B Instruct came out Apr 5, 2025; Mistral Small 3.1 24B came out Mar 17, 2025. Knowledge cutoff: Llama 4 Scout 17B Instruct Aug 2024, Mistral Small 3.1 24B Jun 2024, Mistral Small 4 Jun 2025.

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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