llmreference

Mistral Large

mistral-large-1

DeprecatedResearched 14d ago

Last refreshed 2026-05-16. Next refresh: weekly.

ProprietaryAgentsVisionClassificationJSON / Tool use

Mistral Large is a legacy integration reference; keep it only while you identify a current replacement.

Decision context: Classification task fit, 8 tracked provider routes, and research from 2026-05-05.

Use it for

  • Teams maintaining an existing integration
  • Workloads that can use a 32k context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • New production launches

Cheapest output

$0.900

Fireworks AI per 1M tokens

Provider routes

8

Tracked API hosts

Quality / dollar

Unknown

No output-token price in the ladder

Freshness

2026-05-05

Researched 14d ago

fresh

This API model is marked deprecated. Verify the replacement path before sending new production traffic.

Top use-case fit

Agents

Included by capability and metadata signals in the decision map.

Vision

Included by capability and metadata signals in the decision map.

Classification

1 relevant benchmark in the decision map.

Provider price ladder

Compare all 8
ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.900$0.900
Serverless
GCP Vertex AI$0.320$0.960
Serverless
AWS Bedrock$2.00$6.00
Serverless
Mistral AI Studio$2.00$6.00
Serverless

Benchmark peer barsfor Classification

Migration checks

No linked migration route is available for this model yet.

About

Mistral Large available on AWS Bedrock

Mistral Large has a 32K-token context window.

Mistral Large input tokens at $0.32/1M, output at $0.96/1M.

Capabilities

VisionFunction CallingTool UseStructured Outputs

Benchmark Scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
MMLU PRO51.5https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro

Rankings

Specifications

Released2024-02-08
Context32k
Knowledge cutoff2024-03

Created by

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
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