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Comparison · 2 models · Updated Nov 2, 2026

Mistral Nemotron vs Gemma 3n E2B IT

Mistral Nemotron comes out ahead, 25 to 21 on our weighted score.

  1. Our pick

    NVIDIA

    Mistral Nemotron

    Released Jun 11, 2025

    25/100
    • ECI—
    • Price—
    • Context128K
  2. Google

    Gemma 3n E2B IT

    Released Jun 26, 2025

    21/100
    • ECI—
    • Price—
    • Context33K
  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 25/100 against Gemma 3n E2B IT (21). It leads on context window. Gemma 3n E2B IT wins on inputs & features. The score weighs inputs & features 60%, context window 40%. 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
  • Longest contextMistral NemotronMistral Nemotron 128,000 · Gemma 3n E2B IT 32,768 tokens
  • Widest inputsGemma 3n E2B ITMistral Nemotron: Text · Gemma 3n E2B IT: Text, Images, Audio
  • Self-hostingGemma 3n E2B ITPublishes downloadable weights (Gemma Terms of Use)
How the score is built
MeasureWeightMistral NemotronGemma 3n E2B IT
Inputs & features60%2535
Context window40%240
Overall100%25/10021/100

Left out because at least one model lacks the data: capability and price. 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.

Mistral Nemotron vs Gemma 3n E2B IT specifications side by side
SpecificationMistral NemotronNVIDIAGemma 3n E2B ITGoogle
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input——
Output——
Cached input——
Blended (3:1)——
Long-context rate——
Price source——
Limits
Context window128,000 tokens (best)32,768 tokens
Max output8,192 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoYes
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsProprietaryOpenGemma Terms of Use
API model ID——
API providers——
ReleasedJun 11, 2025Jun 26, 2025
Knowledge cutoff—Jun 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.

  • Mistral Nemotron—
  • Gemma 3n E2B IT—
04 — Questions

Which should you choose?

Which is better: Mistral Nemotron or Gemma 3n E2B IT?

Mistral Nemotron is the better all-round choice, scoring 25/100 against Gemma 3n E2B IT (21). It leads on context window. Gemma 3n E2B IT wins on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Mistral Nemotron or Gemma 3n E2B IT?

None of these models has a published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Mistral Nemotron has not been scored yet and Gemma 3n E2B IT has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Nemotron and Gemma 3n E2B IT yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 3n E2B IT does not support tool calling, which most coding agents need.

Which has the bigger context window?

Mistral Nemotron has the largest context window at 128,000 tokens, against 32,768 for Gemma 3n E2B IT. Maximum output per response: Mistral Nemotron up to 8,192, Gemma 3n E2B IT up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Mistral Nemotron accepts text; Gemma 3n E2B IT accepts text, images and audio. Gemma 3n E2B IT handles the widest range of inputs.

Are any of these open source?

Gemma 3n E2B IT publishes its weights (Gemma Terms of Use) and can be self-hosted; Mistral Nemotron is proprietary.

Which is newer?

Gemma 3n E2B IT is the newest, released Jun 26, 2025. Mistral Nemotron came out Jun 11, 2025. Knowledge cutoff: Gemma 3n E2B IT 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 Nov 2, 2026.