ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Gemini 2.5 Flash-Lite vs Mistral Nemotron

Gemini 2.5 Flash-Lite comes out ahead, 84 to 25 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    84/100
    • ECI—
    • Price$0.10 / $0.40
    • Context1.05M
  2. NVIDIA

    Mistral Nemotron

    Released Jun 11, 2025

    25/100
    • ECI—
    • Price—
    • Context128K
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 2.5 Flash-Lite is our pick

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 84/100 against Mistral Nemotron (25). It leads on inputs & features and context window. 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
  • Lowest priceGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite $0.175 per 1M tokens (3:1 blend) · Mistral Nemotron unpriced
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Mistral Nemotron 128,000 tokens
  • Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Mistral Nemotron: Text
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGemini 2.5 Flash-LiteMistral Nemotron
Inputs & features60%10025
Context window40%6124
Overall100%84/10025/100

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.

Gemini 2.5 Flash-Lite vs Mistral Nemotron specifications side by side
SpecificationGemini 2.5 Flash-LiteGoogleMistral NemotronNVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.10—
Output$0.40—
Cached input$0.01—
Blended (3:1)$0.175—
Long-context rateSame rate—
Price sourceOfficial Google API—
Limits
Context window1,048,576 tokens (best)128,000 tokens
Max output65,536 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningYesNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryProprietary
API model IDgemini-2.5-flash-lite—
API providers24—
ReleasedJun 17, 2025Jun 11, 2025
Knowledge cutoffJan 2025—
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.

  • Gemini 2.5 Flash-Lite$1.80
  • Mistral Nemotron—
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Flash-Lite or Mistral Nemotron?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 84/100 against Mistral Nemotron (25). It leads on inputs & features and context window. 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, Gemini 2.5 Flash-Lite or Mistral Nemotron?

Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). . At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Gemini 2.5 Flash-Lite versus . Mistral Nemotron has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Gemini 2.5 Flash-Lite 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 Gemini 2.5 Flash-Lite 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?

Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 128,000 for Mistral Nemotron. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Mistral Nemotron up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Mistral Nemotron accepts text. Gemini 2.5 Flash-Lite handles the widest range of inputs.

Are any of these open source?

No. Gemini 2.5 Flash-Lite and Mistral Nemotron are proprietary and only available through APIs and apps.

Which is newer?

Gemini 2.5 Flash-Lite is the newest, released Jun 17, 2025. Mistral Nemotron came out Jun 11, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 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 Nov 2, 2026.