Mistral Small 4

Released
2026-03-16
Last refreshed
2026-10-16
Status
Researched 29d ago
Open sourceCommercial use: permittedMultimodalRAGAgentsLong contextVisionClassificationJSON / Tool use
MistralAI releases · 25 in the last 12 months · this family litChangelog →
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-approvedPermitted
Weights
Available
Code
Unknown
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.

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

Agents

Q/$ A

Providers(3)

Compare all 3

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

ProviderInput / 1MOutput / 1MCacheRoute
Mistral AI Studio$0.100$0.300-
Serverless
OpenRouter$0.150$0.600read $0.015
Serverless
NVIDIA NIM---
ServerlessPartial

Available via routers & gateways(11)

Capabilities

VisionMultimodalJSON / Tool use

Benchmark peer barsfor Agents

Benchmark scores(3)

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.
BenchmarkScoreVersionEvaluationSource
60.0LLM-Stats aggregatorObserved 2026-06-07—
78.0Widely reported (accuracy)Observed 2026-06-07—
65.8TAU-bench rank 36 of 37 (pass_rate)Observed 2026-06-07—

Migration checks

No linked migration route is available for this model yet.

Compare Mistral Small 4 with other models