ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Mistral Large vs Gemini 2.5 Flash-Lite vs Gemma 2 27B

Gemini 2.5 Flash-Lite comes out ahead, 83 to 45 and 28 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mistral Large

    Released Feb 26, 2024

    45/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
  2. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    83/100
    • ECI—
    • Price$0.10 / $0.40
    • Context1.05M
  3. Google

    Gemma 2 27B

    Released Jul 13, 2024

    28/100
    • ECI122.1
    • Price$0.65 / $0.65
    • Context8K
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) and Gemma 2 27B (28). 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 · Gemma 2 27B $0.65 · 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 · Gemma 2 27B 8,192 tokens
  • Widest inputsGemini 2.5 Flash-LiteMistral Large: Text, PDFs · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Gemma 2 27B: Text
  • Self-hostingGemma 2 27BPublishes downloadable weights
How the score is built
MeasureWeightMistral LargeGemini 2.5 Flash-LiteGemma 2 27B
Price50%538256
Inputs & features30%451000
Context window20%24610
Overall100%45/10083/10028/100

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.

Mistral Large vs Gemini 2.5 Flash-Lite vs Gemma 2 27B specifications side by side
SpecificationMistral LargeMistral AIGemini 2.5 Flash-LiteGoogleGemma 2 27BGoogle
Capability
Capabilities Index (ECI)122.0—122.1 (best)
ECI rank#153 of 165—#152 of 165 (best)
GPQA DiamondGraduate-level science questions38.8% (best)—36.5%
OTIS Mock AIME 2024–2025Competition mathematics1.9% (best)—1.4%
Price per million tokens
Input$0.50$0.10 (best)$0.65
Output$1.50$0.40 (best)$0.65
Cached input$0.05$0.01 (best)—
Blended (3:1)$0.75$0.175 (best)$0.65
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Google APIMedian of 3 providers
Limits
Context window128,000 tokens1,048,576 tokens (best)8,192 tokens
Max output102,400 tokens (best)65,536 tokens2,048 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsYesYesNo
AudioNoYesNo
VideoNoYesNo
ReasoningNoYesNo
Tool callingYesYesNo
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryOpen
API model IDmistral-large-latestgemini-2.5-flash-lite—
API providers1124 (best)3
ReleasedFeb 26, 2024Jun 17, 2025Jul 13, 2024
Knowledge cutoffNov 30, 2024Jan 2025Jun 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.

  • Mistral Large$8.00
  • Gemini 2.5 Flash-Lite$1.80
  • Gemma 2 27B$7.80
04 — Questions

Which should you choose?

Which is better: Mistral Large, Gemini 2.5 Flash-Lite or Gemma 2 27B?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Mistral Large (45) and Gemma 2 27B (28). 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, Mistral Large, Gemini 2.5 Flash-Lite or Gemma 2 27B?

Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). Gemma 2 27B costs $0.65 input / $0.65 output per million tokens (median across 3 API providers); 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 $0.65 for Gemma 2 27B (3.7× as much) and $0.75 for Mistral Large (4.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Mistral Large has an ECI of 122.0, Gemini 2.5 Flash-Lite has not been scored yet and Gemma 2 27B has an ECI of 122.1.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large, Gemini 2.5 Flash-Lite and Gemma 2 27B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 2 27B does not support tool calling, which most coding agents need.

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 and 8,192 for Gemma 2 27B. Maximum output per response: Mistral Large up to 102,400, Gemini 2.5 Flash-Lite up to 65,536, Gemma 2 27B up to 2,048 tokens.

Which can read images, PDFs, audio or video?

Mistral Large accepts text and PDFs; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Gemma 2 27B accepts text. Gemini 2.5 Flash-Lite handles the widest range of inputs.

Are any of these open source?

Gemma 2 27B publishes its weights and can be self-hosted; Mistral Large and Gemini 2.5 Flash-Lite is proprietary.

Which is newer?

Gemini 2.5 Flash-Lite is the newest, released Jun 17, 2025. Gemma 2 27B came out Jul 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024, Gemini 2.5 Flash-Lite Jan 2025, Gemma 2 27B Jun 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.