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

DeepSeek V4 Pro vs Devstral 2 2512

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 DeepSeek V4 Pro and Devstral 2 2512.

DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

View Full Specs
Mistral

Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...

View Full Specs

Technical Specifications

SpecificationDeepSeek V4 ProDevstral 2 2512
ProviderDeepSeekMistral
Context Window1,048,576 tokens262,144 tokens
Agent Suitability94/100N/A
Time to First Token (TTFT)280 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242025-12-09

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Pro

$0.43

Devstral 2 2512

$0.40

Output Price per Million Tokens

DeepSeek V4 Pro

$0.87

Devstral 2 2512

$2.00

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
8850.0%vsN/A
DeepSeek V4 Pro
Devstral 2 2512
HumanEvalPython coding & logic synthesis
8900.0%vsN/A
DeepSeek V4 Pro
Devstral 2 2512
MATHComplex mathematical problem solving
7460.0%vsN/A
DeepSeek V4 Pro
Devstral 2 2512
GPQAGraduate-level expert reasoning
4900.0%vsN/A
DeepSeek V4 Pro
Devstral 2 2512
HellaSwagCommonsense reasoning and inference
8750.0%vsN/A
DeepSeek V4 Pro
Devstral 2 2512
MT-BenchMulti-turn conversation flow quality
918.0%vsN/A
DeepSeek V4 Pro
Devstral 2 2512

DeepSeek V4 Pro Quirks & Gotchas

  • โ–ธMoE architecture โ€” cold-start latency on first request, use keep-alive
  • โ–ธBest cost-performance ratio of any frontier model โ€” strong tool calling for agentic use

Devstral 2 2512 Quirks & Gotchas

No developer gotchas reported.