Model profile
Mistral

Devstral Small 2

Devstral Small 2 is a budget text-first model from Mistral with a fast runtime profile, unknown context posture, and the clearest fit around long-context research / multimodal.

Best for: Long-context research / MultimodalFast latencyUnknown contextBudget pricing
Intelligence
19.5

Benchmark blend

Coding
20.7

Dev workflow signal

Context
N/A

Unknown

Input Price
$0.00

Budget tier

Decision snapshot
47

Devstral Small 2 currently reads as a budget text-first option with unknown context and a fast runtime profile.

Overall profile
Use-case specific
Best for
Long-context research / Multimodal
Latency tier
Fast
Price tier
Budget
Source coverage
OpenRouterArtificial Analysis

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
19.5
20

General reasoning and benchmark headroom.

Limited
Speed
202 tok/s
100

TTFT 0.36s

Above average
Context
N/A
34

How much prompt and task state can stay in view.

Limited
Price
$0.00
86

$0.00 output / 1M

Efficient

Editorial Profile

Devstral Small 2 in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Use-case specificCoding score 21Math score 34

The Devstral Small 2 AI model by Mistral.

Identity

Mistral text-first profile

Positioning

Long-context research / Multimodal with unknown context and fast runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Latency and throughput look responsive enough for interactive loops.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

Best fit
  • Focused chat, retrieval-augmented flows, and narrower production tasks.

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Context
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Input Price
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Devstral 2

Intelligence
22.0
Context
N/A
Input Price
$0.00

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
19.5
MMLU Pro
67.8%
GPQA
53.2%
HLE
3.4%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
20.7
LiveCodeBench
0.348
SciCode
28.8%
Math

Formal reasoning, structured problem solving, and competition-style math.

Math Index
34.3
AIME 2025
34.3%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
31.2%
TAU2
23.4%
TerminalBench Hard
16.7%
LCR
24.0%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
N/A
Vision
Text-first
Price architecture
Input
per 1M input tokens
$0.00
Output
per 1M output tokens
$0.00
Blended
AA 3:1 mix
$0.00

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.