Mistral: Devstral Small 1.1

Mistral: Devstral Small 1.1

mistralai · Released Jul 10, 2025 Professional
Intelligence #14 / 590
82.0 Our Score
Speed #269 / 279
29.3 tokens / sec
Input #195 / 592
$0.100 per 1M tokens
Output #213 / 592
$0.300 per 1M tokens
Context #245 / 592
131,072 tokens

Analysis Summary

Devstral Small 1.1 is Mistral's lightweight developer-focused model, designed for coding and agentic tasks with tool use and function calling built in. Its intelligence index sits at 9.3 and agentic index at 17.2, placing it firmly in the capable-but-not-frontier tier. Livecodebench at 0.254 and GPQA at 0.414 confirm it handles routine coding tasks but struggles with harder reasoning problems.

For businesses, this model fits well in cost-sensitive coding pipelines, automated code review, or lightweight agentic scaffolding where a small, fast model is preferable to a large expensive one. The file input modality adds some document handling utility. It is not suited to complex multi-step reasoning or high-stakes client-facing content.

At $0.10 per million input tokens and $0.30 output, it is one of the most affordable tool-capable models available. Teams running high-volume coding automation or IDE integrations will find strong value here, provided they stay within its capability ceiling.

Assessed June 30, 2026

Editorial notes

Mistral Devstral Small 1.1 is a compact coding-focused model with tool use and function calling, strong value at $0.10 input, but limited reasoning depth for complex tasks.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence2Technical2.4Value7.8Content2.9
Intelligence 2/10
Technical 2.4/10
Content 2.9/10
Value 7.8/10

How Mistral: Devstral Small 1.1 compares

Mistral: Devstral Small 1.1 ranks #241 of 385 AI models we track for overall intelligence, #201 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.10 per million input tokens it is cheaper than 67% of comparable models.

About Mistral: Devstral Small 1.1

Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and..

Capabilities

Tool Use Function Calling

Performance Indices

Source: Artificial Analysis

9.3 Intelligence Index
17.2 Agentic Index
29.3 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 41.4% Graduate-level scientific reasoning
HLE 3.7% Humanity's Last Exam
MMLU Pro 62.2% Multi-task language understanding
MATH 500 63.5% Mathematical problem-solving
AIME 0.3% Competition mathematics
AIME 2025 29.3% Competition mathematics (2025)
SciCode 24.3% Scientific computing

Technical

LiveCodeBench 25.4% Live coding evaluation
TerminalBench Hard 6.1% Agentic terminal tasks
τ²-Bench 28.4% Conversational agent benchmark

Content

IFBench 34.6% Instruction following
LCR 17% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Mistral: Devstral Small 1.1 stack up?

Compare side-by-side with other professional models.

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Model Information

OpenRouter ID mistralai/devstral-small
Providermistralai
Release Date July 10, 2025
Context Length131,072 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.10 $0.000100
Output $0.30 $0.000300

Leaderboard Categories

Frequently asked questions about Mistral: Devstral Small 1.1

How much does Mistral: Devstral Small 1.1 cost?

Mistral: Devstral Small 1.1 costs $0.10 per million input tokens and $0.30 per million output tokens.

What is the context window of Mistral: Devstral Small 1.1?

Mistral: Devstral Small 1.1 has a context window of 131,072 tokens (131K).

What can Mistral: Devstral Small 1.1 do?

Mistral: Devstral Small 1.1 supports tool use and function calling.

Who created Mistral: Devstral Small 1.1?

Mistral: Devstral Small 1.1 is developed by Mistral and was released on July 10, 2025.