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mistral-large-3

Mistral · chat model

mistral-large-3 is listed here as a chat model from Mistral. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.5000 / 1M tokens
Output
$1.5000 / 1M tokens
Cached input
N/A
Context
262.1K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.5000 / 1M tokens
Output
$1.5000 / 1M tokens
Embedding
$0.5000 / 1M tokens

Token limits

Context window
262.1K
Max input tokens
262.1K
Max output tokens
262.1K
Max tokens
262.1K

Capabilities

Capability Supported
Vision ✅
Function calling ✅
Parallel function calling —
Tool choice ✅
Prompt caching —
Reasoning —
Response schema ✅
System messages —
Audio input —
Audio output —
Web search —
PDF input —
Video input —

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
MMLU 85.5 accuracy Base model: mistral-large-3 (Mistral Large 3) 2026-05-31 Link
MMLU-Pro 78.0 accuracy Base model: mistral-large-3 (Mistral Large 3) 2026-05-31 Link
GPQA Diamond 43.9 accuracy Base model: mistral-large-3 (Mistral Large 3) 2026-05-31 Link
HumanEval 92.0 pass@1 Base model: mistral-large-3 (Mistral Large 3) 2026-05-31 Link
MATH-500 93.6 accuracy Base model: mistral-large-3 (Mistral Large 3) 2026-05-31 Link
AIME 2024 53.3 accuracy Base model: mistral-large-3 (Mistral Large 3) 2026-05-31 Link
AIME 2025 40.0 accuracy Base model: mistral-large-3 (Mistral Large 3) 2026-05-31 Link
SimpleQA 23.8 accuracy Base model: mistral-large-3 (Mistral Large 3) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

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Comparing from
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
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Current model
Reference row

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Out $1.5000 / 1M tokens
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Out $1.5000 / 1M tokens
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