ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Gemini 2.0 Flash-Lite vs Magistral Medium

Gemini 2.0 Flash-Lite comes out ahead, 78 to 31 on our weighted score.

  1. Our pick

    Google

    Gemini 2.0 Flash-Lite

    Released Dec 11, 2024

    78/100
    • ECI—
    • Price—
    • Context1.05M
  2. Mistral AI

    Magistral Medium

    Released Mar 17, 2025

    31/100
    • ECI—
    • Price$2.00 / $5.00
    • Context128K
  3. Add a model

    Make it a three-way comparison.

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 Magistral Medium (31). 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 priceMagistral MediumMagistral Medium $2.75 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 · Magistral Medium 128,000 tokens
  • Widest inputsGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite: Text, Images, PDFs, Audio, Video · Magistral Medium: Text
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGemini 2.0 Flash-LiteMagistral Medium
Inputs & features60%9035
Context window40%6124
Overall100%78/10031/100

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 Magistral Medium specifications side by side
SpecificationGemini 2.0 Flash-LiteGoogleMagistral MediumMistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input—$2.00
Output—$5.00
Cached input——
Blended (3:1)—$2.75
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
ImagesYesNo
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningNoYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryProprietary
API model ID—magistral-medium-latest
API providers—4
ReleasedDec 11, 2024Mar 17, 2025
Knowledge cutoffJun 2024Jun 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—
  • Magistral Medium$30.00
04 — Questions

Which should you choose?

Which is better: Gemini 2.0 Flash-Lite or Magistral Medium?

Gemini 2.0 Flash-Lite is the better all-round choice, scoring 78/100 against Magistral Medium (31). 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 Magistral Medium?

Magistral Medium is cheaper at $2.00 input / $5.00 output per million tokens (official Mistral API price). . At a typical mix of three input tokens to one output token, that is $2.75 per million tokens for Magistral Medium 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 Magistral Medium has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.0 Flash-Lite and Magistral Medium 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 Magistral Medium. Maximum output per response: Gemini 2.0 Flash-Lite up to 8,192, Magistral Medium 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; Magistral Medium accepts text. Gemini 2.0 Flash-Lite handles the widest range of inputs.

Are any of these open source?

No. Gemini 2.0 Flash-Lite and Magistral Medium are proprietary and only available through APIs and apps.

Which is newer?

Magistral Medium is the newest, released Mar 17, 2025. Gemini 2.0 Flash-Lite came out Dec 11, 2024. Knowledge cutoff: Gemini 2.0 Flash-Lite Jun 2024, Magistral Medium Jun 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.