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Comparison · 2 models · Updated Oct 4, 2026

Llama 3.1 Nemotron Ultra 253B vs Mistral Nemotron

Llama 3.1 Nemotron Ultra 253B comes out ahead, 65 to 62 on our weighted score.

  1. Our pick

    NVIDIA

    Llama 3.1 Nemotron Ultra 253B

    Released Apr 7, 2025

    65/100
    • ECI—
    • PriceFree / Free
    • Context128K
    Full specs Remove Llama 3.1 Nemotron Ultra 253B

  2. NVIDIA

    Mistral Nemotron

    Released Jun 11, 2025Deprecated

    62/100
    • ECI—
    • PriceFree / Free
    • Context128K
    Full specs Remove Mistral Nemotron

  3. Add a model

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01 — Verdict

Llama 3.1 Nemotron Ultra 253B is our pick

Llama 3.1 Nemotron Ultra 253B is the better all-round choice, scoring 65/100 against Mistral Nemotron (62). It leads on inputs & features. 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 priceSame priceLlama 3.1 Nemotron Ultra 253B Free · Mistral Nemotron Free per 1M tokens (3:1 blend)
  • Longest contextAbout the sameLlama 3.1 Nemotron Ultra 253B 128,000 · Mistral Nemotron 128,000 tokens
  • Widest inputsSame inputsLlama 3.1 Nemotron Ultra 253B: 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 Ultra 253BMistral Nemotron
Price50%100100
Inputs & features30%3525
Context window20%2424
Overall100%65/10062/100

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 Ultra 253B vs Mistral Nemotron specifications side by side
SpecificationLlama 3.1 Nemotron Ultra 253BNVIDIAMistral NemotronNVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
InputFreeFree
OutputFreeFree
Cached input——
Blended (3:1)FreeFree
Long-context rateSame rateSame rate
Price sourceOfficial Nvidia APIOfficial Nvidia API
Limits
Context window128,000 tokens128,000 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDnvidia/llama-3.1-nemotron-ultra-253b-v1mistralai/mistral-nemotron
API providers11
ReleasedApr 7, 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 Ultra 253BFree
  • Mistral NemotronFree
04 — Questions

Which should you choose?

Which is better: Llama 3.1 Nemotron Ultra 253B or Mistral Nemotron?

Llama 3.1 Nemotron Ultra 253B is the better all-round choice, scoring 65/100 against Mistral Nemotron (62). It leads on inputs & features. 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 Ultra 253B or Mistral Nemotron?

Llama 3.1 Nemotron Ultra 253B and Mistral Nemotron cost the same: Free input / Free output per million tokens.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama 3.1 Nemotron Ultra 253B 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 Ultra 253B 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 Ultra 253B and Mistral Nemotron share the same 128,000-token context window. Maximum output per response: Llama 3.1 Nemotron Ultra 253B up to 8,192, Mistral Nemotron up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Llama 3.1 Nemotron Ultra 253B 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 Ultra 253B came out Apr 7, 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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