ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Gemini 2.0 Flash-Lite vs Mistral Small 3.2

Gemini 2.0 Flash-Lite comes out ahead, 78 to 40 on our weighted score.

  1. Our pick

    Google

    Gemini 2.0 Flash-Lite

    Released Dec 11, 2024

    78/100
    • ECI—
    • Price—
    • Context1.05M
    Full specs Remove Gemini 2.0 Flash-Lite

  2. Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025

    40/100
    • ECI131.7
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

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01 — Verdict

Gemini 2.0 Flash-Lite is our pick

Gemini 2.0 Flash-Lite is the better all-round choice, scoring 78/100 against Mistral Small 3.2 (40). 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 priceMistral Small 3.2Mistral Small 3.2 $0.15 per 1M tokens (3:1 blend) · Gemini 2.0 Flash-Lite unpriced
  • Longest contextGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite 1,048,576 · Mistral Small 3.2 128,000 tokens
  • Widest inputsGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite: Text, Images, PDFs, Audio, Video · Mistral Small 3.2: Text, Images
  • Self-hostingMistral Small 3.2Publishes downloadable weights
How the score is built
MeasureWeightGemini 2.0 Flash-LiteMistral Small 3.2
Inputs & features60%9050
Context window40%6124
Overall100%78/10040/100

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 2.0 Flash-Lite vs Mistral Small 3.2 specifications side by side
SpecificationGemini 2.0 Flash-LiteGoogleMistral Small 3.2Mistral AI
Capability
Capabilities Index (ECI)—131.7
ECI rank—#123 of 148
GPQA DiamondGraduate-level science questions—49.1%
OTIS Mock AIME 2024–2025Competition mathematics—30.3%
Price per million tokens
Input—$0.10
Output—$0.30
Cached input——
Blended (3:1)—$0.15
Long-context rate—Same rate
Price source—Official Mistral API
Limits
Context window1,048,576 tokens (best)128,000 tokens
Max output8,192 tokens16,384 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model ID—mistral-small-2506
API providers—6
ReleasedDec 11, 2024Jun 20, 2025
Knowledge cutoffJun 2024Mar 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 2.0 Flash-Lite—
  • Mistral Small 3.2$1.60
04 — Questions

Which should you choose?

Which is better: Gemini 2.0 Flash-Lite or Mistral Small 3.2?

Gemini 2.0 Flash-Lite is the better all-round choice, scoring 78/100 against Mistral Small 3.2 (40). 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 2.0 Flash-Lite or Mistral Small 3.2?

Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). . At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Mistral Small 3.2 versus . Gemini 2.0 Flash-Lite has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Gemini 2.0 Flash-Lite has not been scored yet and Mistral Small 3.2 has an ECI of 131.7.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.0 Flash-Lite and Mistral Small 3.2 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 2.0 Flash-Lite has the largest context window at 1,048,576 tokens, against 128,000 for Mistral Small 3.2. Maximum output per response: Gemini 2.0 Flash-Lite up to 8,192, Mistral Small 3.2 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.0 Flash-Lite accepts text, images, PDFs, audio and video; Mistral Small 3.2 accepts text and images. Gemini 2.0 Flash-Lite handles the widest range of inputs.

Are any of these open source?

Mistral Small 3.2 publishes its weights and can be self-hosted; Gemini 2.0 Flash-Lite is proprietary.

Which is newer?

Mistral Small 3.2 is the newest, released Jun 20, 2025. Gemini 2.0 Flash-Lite came out Dec 11, 2024. Knowledge cutoff: Gemini 2.0 Flash-Lite Jun 2024, Mistral Small 3.2 Mar 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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