ZMIME
Comparison · 3 models · Updated Oct 4, 2026

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

Llama 4 Scout 17B Instruct comes out ahead, 62 to 55 and 48 on our weighted score, though Mistral Small 3.1 24B is 18% cheaper per token.

  1. Our pick

    Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    62/100
    • ECI129.7
    • Price$0.225 / $0.69
    • Context10M
  2. Amazon

    Nova Pro

    Released Dec 3, 2024

    48/100
    • ECI123.8
    • Price$0.80 / $3.20
    • Context300K
  3. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    55/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
01 — Verdict

Llama 4 Scout 17B Instruct is our pick

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against Mistral Small 3.1 24B (55) and Nova Pro (48). It leads on capability and context window. Nova Pro wins on inputs & features. Mistral Small 3.1 24B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityLlama 4 Scout 17B InstructCapabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 · Mistral Small 3.1 24B 127.5 · Nova Pro 123.8
  • Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 · Llama 4 Scout 17B Instruct $0.341 · Nova Pro $1.40 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Nova Pro 300,000 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsNova ProLlama 4 Scout 17B Instruct: Text, Images · Nova Pro: Text, Images, PDFs, Video · Mistral Small 3.1 24B: Text, Images
  • Self-hostingLlama 4 Scout 17B Instruct and Mistral Small 3.1 24BPublishes downloadable weights
How the score is built
MeasureWeightLlama 4 Scout 17B InstructNova ProMistral Small 3.1 24B
CapabilityCapabilities Index (ECI)50%524550
Price25%724376
Inputs & features15%507060
Context window10%1003924
Overall100%62/10048/10055/100
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 Nova Pro vs Mistral Small 3.1 24B specifications side by side
SpecificationLlama 4 Scout 17B InstructMetaNova ProAmazonMistral Small 3.1 24BMistral AI
Capability
Capabilities Index (ECI)129.7 (best)123.8127.5
ECI rank#126 of 148 (best)#137 of 148#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 (best)$0.80$0.229
Output$0.69$3.20$0.436 (best)
Cached input—$0.20—
Blended (3:1)$0.341$1.40$0.281 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 4 providersOfficial Amazon Bedrock APIMedian of 2 providers
Limits
Context window10,000,000 tokens (best)300,000 tokens128,000 tokens
Max output16,384 tokens (best)10,000 tokens16,384 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesNo
AudioNoNoNo
VideoNoYesNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenProprietaryOpen
API model ID—amazon.nova-pro-v1:0—
API providers4 (best)32
ReleasedApr 5, 2025Dec 3, 2024Mar 17, 2025
Knowledge cutoffAug 2024Oct 2024Jun 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.

  • Llama 4 Scout 17B Instruct$3.63
  • Nova Pro$14.40
  • Mistral Small 3.1 24B$3.16
04 — Questions

Which should you choose?

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

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against Mistral Small 3.1 24B (55) and Nova Pro (48). It leads on capability and context window. Nova Pro wins on inputs & features. Mistral Small 3.1 24B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

Mistral Small 3.1 24B is cheaper at $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); Nova Pro costs $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price). At a typical mix of three input tokens to one output token, that is $0.281 per million tokens for Mistral Small 3.1 24B versus $0.341 for Llama 4 Scout 17B Instruct (1.2× as much) and $1.40 for Nova Pro (5× as much).

Which scores higher on benchmarks?

Llama 4 Scout 17B Instruct scores higher on the Capabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 (#126 of 148), Mistral Small 3.1 24B 127.5 (#132 of 148) and Nova Pro 123.8 (#137 of 148). The confidence ranges of the top two overlap (124.8–131.4 vs 122.6–129.4), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 4 Scout 17B Instruct, Nova Pro and Mistral Small 3.1 24B yet, so there is no like-for-like coding score. On overall capability, Llama 4 Scout 17B Instruct 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 300,000 for Nova Pro and 128,000 for Mistral Small 3.1 24B. Maximum output per response: Llama 4 Scout 17B Instruct up to 16,384, Nova Pro up to 10,000, Mistral Small 3.1 24B up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Llama 4 Scout 17B Instruct accepts text and images; Nova Pro accepts text, images, PDFs and video; Mistral Small 3.1 24B accepts text and images. Nova Pro handles the widest range of inputs.

Are any of these open source?

Llama 4 Scout 17B Instruct and Mistral Small 3.1 24B publishes its weights and can be self-hosted; Nova Pro is proprietary.

Which is newer?

Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. Mistral Small 3.1 24B came out Mar 17, 2025; Nova Pro came out Dec 3, 2024. Knowledge cutoff: Llama 4 Scout 17B Instruct Aug 2024, Nova Pro Oct 2024, Mistral Small 3.1 24B Jun 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.