Skip to content
WebmasterID

Side-by-side reference

Mistral Large 3 vs Gemini 2.5 Pro

Two-sided verified comparison: Mistral's current Large-tier flagship (v25.12) and Google Gemini 2.5 Pro. Both sides are verified end-to-end from primary vendor documentation. This page does not declare a winner.

Data freshness: last checked 8 d ago · updated 2026-05-21

At a glance

Attributes

AttributeMistral Large 3Gemini 2.5 Pro
ProviderMistralGoogle
Snapshot dateData not yet verified.Data not yet verified.
Context window (tokens)256,000src1,048,576src
Max output (tokens)Data not yet verified.65,536src
ModalityData not yet verified.text-in, image-in, audio-in, video-in, text-outsrc
Lifecycleactivesrcactivesrc

This table compares verified attributes only; cells with no verified value display the canonical unverified-data label. WebmasterID Models does not declare a winner.

Reference

First-party pricing references

Per-unit rates published by each model's creator on their own first-party API. Rows are source-backed references, not live quotes. Hosted-provider references (Groq, Together) render separately below where available.

Pricing is volatile and may change after retrieval. Treat prices as source-backed references, not live quotes. Prices are shown as source-backed references only. WebmasterID Models does not rank models or billing providers by price.

Mistral Large 3

UnitPrice (USD)
1M input tokens$0.50src
1M output tokens$1.50src

Gemini 2.5 Pro

UnitPrice (USD)
1M input tokens$1.25src
1M input tokens (>200k context)$2.50src
1M output tokens$10.00src
1M output tokens (>200k context)$15.00src
1M cache write tokens (5m)$0.13src
1M cache write tokens (>200k context)$0.25src
1M cache storage / hour$4.50src
1M batch input tokens$0.63src
1M batch input tokens (>200k context)$1.25src
1M batch output tokens$5.00src
1M batch output tokens (>200k context)$7.50src

Capability

Benchmarks

Mistral Large 3

Data not yet verified.

Gemini 2.5 Pro

Data not yet verified.

Where to use

Use cases

  • Long-context document analysis (Gemini 2.5 Pro 1,048,576 tokens; Mistral Large 3 256k tokens)
  • Open-weights European serving (Mistral) versus closed-weights US-hosted (Google)
  • Multimodal understanding — Gemini publishes audio/image/video/text/PDF inputs explicitly; Mistral's card describes the model as multimodal without enumerating channels

API surface

API usage differences

Endpoint shape, model parameter position, and request body conventions for each provider. Shown for reference, not as a recommendation.

Mistral Large 3

Mistral

Endpoint
—
Model parameter
—
Canonical ID
mistral-large-2512

See the model page for a full documentation-style example request and the citation it derives from.

Gemini 2.5 Pro

Google

Endpoint
POST https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro:generateContent
Model parameter
URL path segment
Canonical ID
gemini-2.5-pro

See the model page for a full documentation-style example request and the citation it derives from.

Caveats

Limitations of this comparison

  • Mistral Large 3's max output and explicit modality channels are not stated on the vendor spec card — those fields render unverified.
  • Gemini publishes prompt-size tier pricing (≤200k vs >200k) and per-hour cache storage; Mistral's pricing surface is base input/output only on the spec card. Direct unit-by-unit normalisation is not meaningful.
  • WebmasterID Models does not declare a winner; readers should compare verified facts against their own workload.

Source trail

  • Official docsRetrieved 2026-05-21Fresh
    Mistral — Large 3 (v25.12) model card

    Mistral Large 3 spec card at the new URL pattern (/models/model-cards/<slug>). Canonical pinned snapshot is mistral-large-2512; context window 256k; input $0.5 / output $1.5 per 1M tokens. Max output and explicit modality list still not stated.

  • Official docsRetrieved 2026-05-20Fresh
    Mistral — Models overview

    Mistral models overview — current active models, version stamps, open vs premier classification.

  • Official docsRetrieved 2026-05-20Fresh
    Mistral — API reference

    Mistral chat completions endpoint, headers, minimal request body, and model parameter format.

  • Official docsRetrieved 2026-05-20Fresh
    Google AI — Gemini 2.5 Pro model docs

    Per-model specification page for gemini-2.5-pro (model code, token limits, supported input types, knowledge cutoff, supported features).

  • Official pricingRetrieved 2026-05-20Fresh
    Google AI — Gemini pricing

    Gemini API pricing reference — standard, batch, flex, and priority tiers with ≤200k vs >200k-token pricing.

  • Official docsRetrieved 2026-05-20Fresh
    Google AI — Gemini API quickstart

    Quickstart with REST endpoint shape, model parameter format, request body, and Python/JS SDK examples.

Continue

Related

Want a new comparison? See docs for how WebmasterID Models verifies entries.