LLM Reference

Mistral Small 4

Released
2026-03-16
Last refreshed
2026-06-15
Status
Researched 49d ago
Open sourceCommercial use: permittedMultimodalRAGAgentsLong contextVisionClassificationJSON / Tool use

Mistral Small 4 is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

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
Specifications
Released
2026-03-16
Context
256k
Parameters
119B (6.5B active)
Architecture
Mixture of Experts
Knowledge cutoff
2025-06
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Training
Pretrained
Created by

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
Website
Pricing
Output / 1M
$0.300
Input / 1M
$0.100

Cheapest of 3 routes · Mistral AI Studio

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 is an open-source model in the Mistral Small family. The structured metadata tracks a 256k-token context window, multimodal input, function calling, and tool use. This page tracks provider routes through OpenRouter, NVIDIA NIM, and Mistral AI Studio, with the cheapest tracked route listed at $0.1 input and $0.3 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 76.9, MMMU Pro 60.0, and MMLU PRO 78.0.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Q/$ A

1 relevant benchmark in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 3

Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Mistral AI Studio$0.100$0.300
Serverless
OpenRouter$0.150$0.600
Serverless
NVIDIA NIM--
ServerlessPartial

Available via routers & gateways(11)

Capabilities

VisionMultimodalFunction CallingTool Use

Benchmark peer barsfor Agents

Benchmark scores(4)

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
Google-Proof Q&A76.9diamondhttps://artificialanalysis.ai/leaderboards/models
MMMU Pro60.0LLM-Stats aggregatorhttps://llm-stats.com/benchmarks/mmmu-pro
MMLU PRO78.0Widely reported (accuracy)https://aidailypost.com/news/mistral-small-4-matches-medium-31-large-3-mmlu-pro-cuts-inference-cost
τ-bench65.8TAU-bench rank 36 of 37 (pass_rate)https://benchlm.ai/benchmarks/tauBench

Migration checks

No linked migration route is available for this model yet.

Compare Mistral Small 4 with other models

Frequently asked questions

What is the context window of Mistral Small 4?

Mistral Small 4 has a context window of 256k tokens.

How much does Mistral Small 4 cost?

Mistral Small 4 pricing ranges from $0.10/1M to $0.15/1M input tokens depending on the provider.

When was Mistral Small 4 released?

Mistral Small 4 was released on 2026-03-16.

Which providers offer Mistral Small 4?

Mistral Small 4 is available from 3 providers: OpenRouter, NVIDIA NIM, Mistral AI Studio.

What benchmarks has Mistral Small 4 been tested on?

Mistral Small 4 has been evaluated on 4 benchmarks, including Google-Proof Q&A, MMMU Pro, MMLU PRO, τ-bench.