Mistral Small 4
mistral-small-4
Last refreshed 2026-05-14. Next refresh: weekly.
Mistral Small 4 is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Decision context: RAG task fit, 3 tracked provider routes, and research from 2026-05-14.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 256K context window
- Buyers comparing 3 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Cheapest output
$0.600
Mistral AI Studio per 1M tokens
Provider routes
3
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-14
Researched 4d ago
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Mistral AI Studio | $0.150 | $0.600 | Serverless |
| OpenRouter | $0.150 | $0.600 | Serverless |
| NVIDIA NIM | - | - | ServerlessPartial |
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
Mistral Small 4 is a hybrid 119B MoE model unifying instruct, reasoning, and coding capabilities. Features configurable reasoning effort per request and native function calling with JSON output support.
Mistral Small 4 has a 256K-token context window.
Mistral Small 4 input tokens at $0.15/1M, output at $0.6/1M.
Capabilities
Benchmark Scores(1)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 76.9 | diamond | Artificial Analysis |
