ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Gemini 2.5 Flash-Lite vs Mistral Large

Gemini 2.5 Flash-Lite comes out ahead, 83 to 45 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    83/100
    • ECI—
    • Price$0.10 / $0.40
    • Context1.05M
    Full specs Remove Gemini 2.5 Flash-Lite

  2. Mistral AI

    Mistral Large

    Released Feb 26, 2024

    45/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
    Full specs Remove Mistral Large

  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 83/100 against Mistral Large (45). It leads on price, inputs & features and 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 priceGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite $0.175 · Mistral Large $0.75 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Mistral Large 128,000 tokens
  • Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Mistral Large: Text, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGemini 2.5 Flash-LiteMistral Large
Price50%8253
Inputs & features30%10045
Context window20%6124
Overall100%83/10045/100

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.

Gemini 2.5 Flash-Lite vs Mistral Large specifications side by side
SpecificationGemini 2.5 Flash-LiteGoogleMistral LargeMistral AI
Capability
Capabilities Index (ECI)—122.0
ECI rank—#153 of 165
GPQA DiamondGraduate-level science questions—38.8%
OTIS Mock AIME 2024–2025Competition mathematics—1.9%
Price per million tokens
Input$0.10 (best)$0.50
Output$0.40 (best)$1.50
Cached input$0.01 (best)$0.05
Blended (3:1)$0.175 (best)$0.75
Long-context rateSame rateSame rate
Price sourceOfficial Google APIOfficial Mistral API
Limits
Context window1,048,576 tokens (best)128,000 tokens
Max output65,536 tokens102,400 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesYes
AudioYesNo
VideoYesNo
ReasoningYesNo
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgemini-2.5-flash-litemistral-large-latest
API providers24 (best)11
ReleasedJun 17, 2025Feb 26, 2024
Knowledge cutoffJan 2025Nov 30, 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.

  • Gemini 2.5 Flash-Lite$1.80
  • Mistral Large$8.00
04 — Questions

Which should you choose?

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

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Mistral Large (45). It leads on price, inputs & features and 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, Gemini 2.5 Flash-Lite or Mistral Large?

Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral 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 $0.75 for Mistral Large (4.3× as much).

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 Large has an ECI of 122.0.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.5 Flash-Lite and Mistral Large 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 Large. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Mistral Large up to 102,400 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Mistral Large accepts text and PDFs. 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 Large 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 Large came out Feb 26, 2024. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 2025, Mistral Large Nov 30, 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.

05 — Keep comparing

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