LLM ReferenceLLM Reference

Mistral Small 2503

mistral-small-2503

Researched today
ProprietaryAgentsJSON / Tool use

Mistral Small 2503 is worth evaluating for agents and json / tool use when its provider route and context window match the workload.

Decision context: Agents task fit, 1 tracked provider route, and research from 2026-05-16.

Use it for

  • Teams evaluating agents and json / tool use
  • Workloads that can use a 33K context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$0.300

Microsoft Foundry per 1M tokens

Provider routes

1

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-16

Researched today

fresh

Top use-case fit

Agents

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
Microsoft Foundry$0.100$0.300
Serverless

Benchmark peer barsfor Agents

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

From partners/community. Context 32,768 tokens, Output 4,096. Tool calling: Yes. Languages: fr, de, es, it, en.

Mistral Small 2503 has a 32K-token context window.

Mistral Small 2503 input tokens at $0.1/1M, output at $0.3/1M.

Capabilities

Function CallingTool Use

Rankings

Specifications

Released2025-03-01
Context33K
Max output4,096

Providers(1)