Devstral 2 2512 vs Mistral Small 3.2 24B

In our 12-test suite, Devstral 2 2512 is the better pick for high‑fidelity structured outputs, long-context tasks, and creative problem solving. Mistral Small 3.2 24B ties on several core tasks but is the clear cost-effective option for production at scale.

mistral

Devstral 2 2512

Overall
4.00/5Strong

Benchmark Scores

Faithfulness
4/5
Long Context
5/5
Multilingual
5/5
Tool Calling
4/5
Classification
3/5
Agentic Planning
4/5
Structured Output
5/5
Safety Calibration
1/5
Strategic Analysis
4/5
Persona Consistency
4/5
Constrained Rewriting
5/5
Creative Problem Solving
4/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$0.400/MTok

Output

$2.00/MTok

Context Window262K

modelpicker.net

mistral

Mistral Small 3.2 24B

Overall
3.25/5Usable

Benchmark Scores

Faithfulness
4/5
Long Context
4/5
Multilingual
4/5
Tool Calling
4/5
Classification
3/5
Agentic Planning
4/5
Structured Output
4/5
Safety Calibration
1/5
Strategic Analysis
2/5
Persona Consistency
3/5
Constrained Rewriting
4/5
Creative Problem Solving
2/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$0.075/MTok

Output

$0.200/MTok

Context Window128K

modelpicker.net

Benchmark Analysis

Across our 12-test suite Devstral 2 2512 wins 7 benchmarks, Mistral Small 3.2 24B wins 0, and 5 tests tie. Specifics (Devstral vs Mistral Small): structured output 5 vs 4 — Devstral tied for 1st (tied with 24 others out of 54), so expect stronger JSON/schema compliance. constrained rewriting 5 vs 4 — Devstral tied for 1st (tied with 4 others of 53), useful for tight character/format compression. long context 5 vs 4 — Devstral tied for 1st (tied with 36 others of 55); its context_window is 262,144 tokens vs 128,000 for Mistral Small, meaning better retrieval/accuracy at 30K+ contexts. creative problem solving 4 vs 2 — Devstral ranks 9 of 54 vs Mistral Small rank 47 of 54, so Devstral generates more specific, feasible ideas. strategic analysis 4 vs 2 — Devstral ranks 27 of 54 vs 44 of 54, indicating stronger nuanced tradeoff reasoning. persona consistency 4 vs 3 and multilingual 5 vs 4 — Devstral holds advantages in maintaining character and non‑English parity (Devstral tied for 1st on multilingual). Ties: tool calling 4/4 (both rank 18 of 54), faithfulness 4/4 (both rank 34 of 55), classification 3/3 (both rank 31 of 53), safety calibration 1/1 (both rank 32 of 55), agentic planning 4/4 (both rank 16 of 54). For real tasks that need strict output formats, long document context, or creative strategy, Devstral's higher scores translate to fewer manual fixes; for standard instruction following, function calling, or cost-sensitive deployments, Mistral Small matches core behaviors at much lower cost.

BenchmarkDevstral 2 2512Mistral Small 3.2 24B
Faithfulness4/54/5
Long Context5/54/5
Multilingual5/54/5
Tool Calling4/54/5
Classification3/53/5
Agentic Planning4/54/5
Structured Output5/54/5
Safety Calibration1/51/5
Strategic Analysis4/52/5
Persona Consistency4/53/5
Constrained Rewriting5/54/5
Creative Problem Solving4/52/5
Summary7 wins0 wins

Pricing Analysis

Pricing difference (per mTok): Devstral 2 2512 input $0.40 / output $2.00; Mistral Small 3.2 24B input $0.075 / output $0.20 (priceRatio = 10). Using a simple 1M input + 1M output token/month example: Devstral costs $2,400 (1000 mTok × ($0.40+$2.00)) while Mistral Small costs $275 (1000 mTok × ($0.075+$0.20)). At 10M in+out tokens/month those totals scale to $24,000 vs $2,750; at 100M they scale to $240,000 vs $27,500. Teams with sustained high volume (10M–100M tokens/month) should care deeply about this gap; Mistral Small dramatically lowers operational expense. Choose Devstral only when its benchmark advantages (see below) justify an order-of-magnitude higher runtime bill.

Real-World Cost Comparison

TaskDevstral 2 2512Mistral Small 3.2 24B
iChat response$0.0011<$0.001
iBlog post$0.0042<$0.001
iDocument batch$0.108$0.011
iPipeline run$1.08$0.115

Bottom Line

Choose Devstral 2 2512 if you need: high-quality structured outputs (5/5 structured output), superior long-context handling (5/5 long context, 262K window), better constrained rewriting (5/5), and stronger creative or strategic reasoning — and you can absorb higher inference costs. Choose Mistral Small 3.2 24B if you need: a budget-friendly production model with comparable tool calling and faithfulness, multimodal input (text+image->text), and much lower runtime cost (example: $275 vs $2,400 per 1M in+out tokens).

How We Test

We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.

Frequently Asked Questions