โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Sonnet 4.6 vs Codestral 2508

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Sonnet 4.6 and Codestral 2508.

Anthropic

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

View Full Specs
Mistral

Codestral 2508

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)

View Full Specs

Technical Specifications

SpecificationClaude Sonnet 4.6Codestral 2508
ProviderAnthropicMistral
Context Window1,000,000 tokens256,000 tokens
Agent Suitability94/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-172025-08-01

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.6

$3.00

Codestral 2508

$0.30

Output Price per Million Tokens

Claude Sonnet 4.6

$15.00

Codestral 2508

$0.90

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9040.0%vsN/A
Claude Sonnet 4.6
Codestral 2508
HumanEvalPython coding & logic synthesis
9370.0%vsN/A
Claude Sonnet 4.6
Codestral 2508
MATHComplex mathematical problem solving
8230.0%vsN/A
Claude Sonnet 4.6
Codestral 2508
GPQAGraduate-level expert reasoning
6500.0%vsN/A
Claude Sonnet 4.6
Codestral 2508
HellaSwagCommonsense reasoning and inference
9600.0%vsN/A
Claude Sonnet 4.6
Codestral 2508
MT-BenchMulti-turn conversation flow quality
940.0%vsN/A
Claude Sonnet 4.6
Codestral 2508

Claude Sonnet 4.6 Quirks & Gotchas

  • โ–ธBest balance of speed and capability โ€” default for most Claude integrations
  • โ–ธComputer-use (beta) feature enables autonomous UI interaction

Codestral 2508 Quirks & Gotchas

No developer gotchas reported.