Claude Sonnet 4.6 vs Devstral 2 2512

Claude Sonnet 4.6 is the better pick for most enterprise and agentic workflows: it wins 8 of 12 internal benchmarks including tool calling, safety, and agentic planning. Devstral 2 2512 outperforms Sonnet on structured output and constrained rewriting and is far cheaper — a clear price-vs-quality tradeoff for high-volume deployments.

anthropic

Claude Sonnet 4.6

Overall
4.67/5Strong

Benchmark Scores

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

External Benchmarks

SWE-bench Verified
75.2%
MATH Level 5
N/A
AIME 2025
85.8%

Pricing

Input

$3.00/MTok

Output

$15.00/MTok

Context Window1000K

modelpicker.net

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

Benchmark Analysis

Summary of head-to-head results (our 12-test suite). Sonnet 4.6 wins eight categories: strategic_analysis 5 vs 4 (Sonnet ranks tied for 1st of 54; Devstral ranks 27/54), creative_problem_solving 5 vs 4 (Sonnet tied for 1st of 54; Devstral rank 9/54), tool_calling 5 vs 4 (Sonnet tied for 1st of 54; Devstral rank 18/54), faithfulness 5 vs 4 (Sonnet tied for 1st of 55; Devstral rank 34/55), classification 4 vs 3 (Sonnet tied for 1st of 53; Devstral rank 31/53), safety_calibration 5 vs 1 (Sonnet tied for 1st of 55; Devstral rank 32/55), persona_consistency 5 vs 4 (Sonnet tied for 1st of 53; Devstral rank 38/53), and agentic_planning 5 vs 4 (Sonnet tied for 1st of 54; Devstral rank 16/54). Devstral 2 2512 wins structured_output 5 vs 4 (Devstral tied for 1st of 54; Sonnet rank 26/54) and constrained_rewriting 5 vs 3 (Devstral tied for 1st of 53; Sonnet rank 31/53). They tie on long_context (both 5, tied for 1st of 55) and multilingual (both 5, tied for 1st of 55). Practical implications: Sonnet’s 5/5 in tool_calling and agentic_planning means more accurate function selection, argument construction, and multi-step goal decomposition for agentic workflows; its 5/5 safety_calibration reduces risky outputs. Devstral’s 5/5 structured_output and constrained_rewriting make it better for strict JSON/schema compliance and hard-limit compression tasks. Beyond our internal tests, Claude Sonnet 4.6 scores 75.2% on SWE-bench Verified (Epoch AI) and 85.8% on AIME 2025 (Epoch AI), placing it 4th of 12 and 10th of 23 respectively on those external measures; Devstral has no external scores in the payload.

BenchmarkClaude Sonnet 4.6Devstral 2 2512
Faithfulness5/54/5
Long Context5/55/5
Multilingual5/55/5
Tool Calling5/54/5
Classification4/53/5
Agentic Planning5/54/5
Structured Output4/55/5
Safety Calibration5/51/5
Strategic Analysis5/54/5
Persona Consistency5/54/5
Constrained Rewriting3/55/5
Creative Problem Solving5/54/5
Summary8 wins2 wins

Pricing Analysis

Pricing per million tokens (assuming a 50/50 input/output split): Claude Sonnet 4.6 costs $9.00 per 1M tokens (0.5*$3 + 0.5*$15). Devstral 2 2512 costs $1.20 per 1M tokens (0.5*$0.4 + 0.5*$2). At scale that reads: 1M tokens/month = $9 vs $1.2; 10M = $90 vs $12; 100M = $900 vs $120. The output-rate ratio (15/2) and priceRatio=7.5 in the payload show Sonnet is roughly 7.5× more expensive on output token billing. Teams with heavy inference volumes or tight budgets should prefer Devstral 2 2512; teams that need the higher benchmarked quality, safety, and agentic capabilities should budget for Sonnet 4.6.

Real-World Cost Comparison

TaskClaude Sonnet 4.6Devstral 2 2512
iChat response$0.0081$0.0011
iBlog post$0.032$0.0042
iDocument batch$0.810$0.108
iPipeline run$8.10$1.08

Bottom Line

Choose Claude Sonnet 4.6 if you need the highest reliability on agentic workflows, safe refusal behavior, strong faithfulness, tool calling, and nuanced strategic reasoning (e.g., multi-step agents, production assistants, safety-sensitive automation) and can absorb higher token costs. Choose Devstral 2 2512 if you need low-cost, high-throughput inference with best-in-class structured-output and constrained-rewriting behavior (e.g., strict JSON/schema generation, compression-limited transformations) or are optimizing for token budget at scale.

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