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Comparison · 2 models · Updated Oct 4, 2026

Llama 3.1 Nemotron 70B Instruct vs Mistral Nemotron

Mistral Nemotron comes out ahead, 62 to 45 on our weighted score, and it is the cheaper option too.

  1. NVIDIA

    Llama 3.1 Nemotron 70B Instruct

    Released Apr 15, 2025

    45/100
    • ECI—
    • Price$0.478 / $0.504
    • Context128K
  2. Our pick

    NVIDIA

    Mistral Nemotron

    Released Jun 11, 2025Deprecated

    62/100
    • ECI—
    • PriceFree / Free
    • Context128K
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Mistral Nemotron is our pick

Mistral Nemotron is the better all-round choice, scoring 62/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads 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 NemotronMistral Nemotron Free · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameLlama 3.1 Nemotron 70B Instruct 128,000 · Mistral Nemotron 128,000 tokens
  • Widest inputsSame inputsLlama 3.1 Nemotron 70B Instruct: Text · Mistral Nemotron: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama 3.1 Nemotron 70B InstructMistral Nemotron
Price50%65100
Inputs & features30%2525
Context window20%2424
Overall100%45/10062/100

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 3.1 Nemotron 70B Instruct vs Mistral Nemotron specifications side by side
SpecificationLlama 3.1 Nemotron 70B InstructNVIDIAMistral NemotronNVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.478Free (best)
Output$0.504Free (best)
Cached input——
Blended (3:1)$0.485Free (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Nvidia API
Limits
Context window128,000 tokens128,000 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDnvidia/llama-3.1-nemotron-70b-instructmistralai/mistral-nemotron
API providers3 (best)1
ReleasedApr 15, 2025Jun 11, 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.

  • Llama 3.1 Nemotron 70B Instruct$5.79
  • Mistral NemotronFree
04 — Questions

Which should you choose?

Which is better: Llama 3.1 Nemotron 70B Instruct or Mistral Nemotron?

Mistral Nemotron is the better all-round choice, scoring 62/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads 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, Llama 3.1 Nemotron 70B Instruct or Mistral Nemotron?

Mistral Nemotron is cheaper at Free input / Free output per million tokens (official Nvidia 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). Mistral Nemotron is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama 3.1 Nemotron 70B Instruct has not been scored yet and Mistral Nemotron has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 3.1 Nemotron 70B Instruct and Mistral Nemotron 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 and Mistral Nemotron share the same 128,000-token context window. Maximum output per response: Llama 3.1 Nemotron 70B Instruct up to 8,192, Mistral Nemotron up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Llama 3.1 Nemotron 70B Instruct accepts text; Mistral Nemotron accepts text. 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 Nemotron is the newest, released Jun 11, 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.