ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 4 vs Gemini 3.6 Flash

Gemini 3.6 Flash comes out ahead, 72 to 67 on our weighted score, though Mistral Large 4 is 30% cheaper per token.

  1. Mistral AI

    Mistral Large 4

    Released Oct 6, 2026NewBeta

    67/100
    • ECI150.6
    • Price$0.70 / $2.10
    • Context1.05M
    Full specs Remove Mistral Large 4
  2. Our pick

    Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    72/100
    • ECI154.7
    • Price$0.75 / $3.75
    • Context1.05M
    Full specs Remove Gemini 3.6 Flash

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 3.6 Flash is our pick

Gemini 3.6 Flash is the better all-round choice, scoring 72/100 against Mistral Large 4 (67). It leads on capability and inputs & features. Mistral Large 4 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 3.6 FlashCapabilities Index (ECI): Gemini 3.6 Flash 154.7 · Mistral Large 4 150.6
  • Lowest priceMistral Large 4Mistral Large 4 $1.05 · Gemini 3.6 Flash $1.50 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMistral Large 4 1,048,576 · Gemini 3.6 Flash 1,048,576 tokens
  • Widest inputsGemini 3.6 FlashMistral Large 4: Text, Images · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMistral Large 4Gemini 3.6 Flash
CapabilityCapabilities Index (ECI)50%7782
Price25%4740
Inputs & features15%70100
Context window10%6161
Overall100%67/10072/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Mistral Large 4 vs Gemini 3.6 Flash specifications side by side
SpecificationMistral Large 4Mistral AIGemini 3.6 FlashGoogle
Capability
Capabilities Index (ECI)150.6154.7 (best)
ECI rank#57 of 165#42 of 165 (best)
GPQA DiamondGraduate-level science questions88.1%94.1% (best)
FrontierMath Tiers 1–3Research-level mathematics58.6%59.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.3% (best)94.2%
SimpleQA VerifiedShort factual questions20.0%66.2% (best)
Price per million tokens
Input$0.70 (best)$0.75
Output$2.10 (best)$3.75
Cached input$0.07 (best)$0.075
Blended (3:1)$1.05 (best)$1.50
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Google API
Limits
Context window1,048,576 tokens1,048,576 tokens
Max output262,144 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoYes
VideoNoYes
ReasoningYeslow · medium · highYesminimal · low · medium · high
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmistral-large-4gemini-3.6-flash
API providers1531 (best)
ReleasedOct 6, 2026Jul 21, 2026
Knowledge cutoff—Mar 2026
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 4$11.20
  • Gemini 3.6 Flash$15.00
04 — Questions

Which should you choose?

Which is better: Mistral Large 4 or Gemini 3.6 Flash?

Gemini 3.6 Flash is the better all-round choice, scoring 72/100 against Mistral Large 4 (67). It leads on capability and inputs & features. Mistral Large 4 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 4 or Gemini 3.6 Flash?

Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). Gemini 3.6 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for Mistral Large 4 versus $1.50 for Gemini 3.6 Flash (1.4× as much).

Which scores higher on benchmarks?

Gemini 3.6 Flash scores higher on the Capabilities Index (ECI): Gemini 3.6 Flash 154.7 (#42 of 165) and Mistral Large 4 150.6 (#57 of 165). The confidence ranges of the top two overlap (153.0–156.7 vs 147.4–153.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3.6 Flash 94.1%, Mistral Large 4 88.1%; FrontierMath Tiers 1–3 — Gemini 3.6 Flash 59.0%, Mistral Large 4 58.6%; OTIS Mock AIME 2024–2025 — Mistral Large 4 98.3%, Gemini 3.6 Flash 94.2%; SimpleQA Verified — Gemini 3.6 Flash 66.2%, Mistral Large 4 20.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 4 and Gemini 3.6 Flash yet, so there is no like-for-like coding score. On overall capability, Gemini 3.6 Flash leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Large 4 and Gemini 3.6 Flash share the same 1,048,576-token context window. Maximum output per response: Mistral Large 4 up to 262,144, Gemini 3.6 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 4 accepts text and images; Gemini 3.6 Flash accepts text, images, PDFs, audio and video. Gemini 3.6 Flash handles the widest range of inputs.

Are any of these open source?

No. Mistral Large 4 and Gemini 3.6 Flash are proprietary and only available through APIs and apps.

Which is newer?

Mistral Large 4 is the newest, released Oct 6, 2026. Gemini 3.6 Flash came out Jul 21, 2026. Knowledge cutoff: Gemini 3.6 Flash Mar 2026.

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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