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Comparison · 2 models · Updated Oct 4, 2026

Voxtral Small 24B 2507 vs Llama 3.1 Nemotron 70B Instruct

Voxtral Small 24B 2507 comes out ahead, 55 to 45 on our weighted score, and it is the cheaper option too.

  1. Our pick

    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. NVIDIA

    Llama 3.1 Nemotron 70B Instruct

    Released Apr 15, 2025

    45/100
    • ECI—
    • Price$0.478 / $0.504
    • Context128K
    Full specs Remove Llama 3.1 Nemotron 70B Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Voxtral Small 24B 2507 is our pick

Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on price and inputs & features. Llama 3.1 Nemotron 70B Instruct wins 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 priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.15 · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
  • Longest contextLlama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct 128,000 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsVoxtral Small 24B 2507Voxtral Small 24B 2507: Text, Audio · Llama 3.1 Nemotron 70B Instruct: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightVoxtral Small 24B 2507Llama 3.1 Nemotron 70B Instruct
Price50%8965
Inputs & features30%3525
Context window20%024
Overall100%55/10045/100

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 3.1 Nemotron 70B Instruct specifications side by side
SpecificationVoxtral Small 24B 2507Mistral AILlama 3.1 Nemotron 70B InstructNVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.10 (best)$0.478
Output$0.30 (best)$0.504
Cached input——
Blended (3:1)$0.15 (best)$0.485
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)8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioYesNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache 2.0Open
API model IDvoxtral-small-latestnvidia/llama-3.1-nemotron-70b-instruct
API providers7 (best)3
ReleasedJul 15, 2025Apr 15, 2025
Knowledge cutoff——
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 3.1 Nemotron 70B Instruct$5.79
04 — Questions

Which should you choose?

Which is better: Voxtral Small 24B 2507 or Llama 3.1 Nemotron 70B Instruct?

Voxtral Small 24B 2507 is the better all-round choice, scoring 55/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on price and inputs & features. Llama 3.1 Nemotron 70B Instruct wins 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, Voxtral Small 24B 2507 or Llama 3.1 Nemotron 70B Instruct?

Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Llama 3.1 Nemotron 70B Instruct costs $0.478 input / $0.504 output per million tokens (median across 2 API providers; free on Nvidia). 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 $0.485 for Llama 3.1 Nemotron 70B Instruct (3.2× 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 3.1 Nemotron 70B 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 3.1 Nemotron 70B 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 3.1 Nemotron 70B 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 3.1 Nemotron 70B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Voxtral Small 24B 2507 accepts text and audio; Llama 3.1 Nemotron 70B Instruct accepts text. Voxtral Small 24B 2507 handles the widest range of inputs.

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 3.1 Nemotron 70B Instruct came out Apr 15, 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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