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Claude Sonnet 4 vs DeepSeek V4 Pro

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 and DeepSeek V4 Pro.

Anthropic

Claude Sonnet 4

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...

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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,...

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Technical Specifications

SpecificationClaude Sonnet 4DeepSeek V4 Pro
ProviderAnthropicDeepSeek
Context Window1,000,000 tokens1,048,576 tokens
Agent SuitabilityN/A94/100
Time to First Token (TTFT)N/A280 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-05-222026-04-24

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4

$3.00

DeepSeek V4 Pro

$0.43

Output Price per Million Tokens

Claude Sonnet 4

$15.00

DeepSeek V4 Pro

$0.87

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
8800.0%vs8850.0%
Claude Sonnet 4
DeepSeek V4 Pro
HumanEvalPython coding & logic synthesis
9150.0%vs8900.0%
Claude Sonnet 4
DeepSeek V4 Pro
MATHComplex mathematical problem solving
7880.0%vs7460.0%
Claude Sonnet 4
DeepSeek V4 Pro
GPQAGraduate-level expert reasoning
6050.0%vs4900.0%
Claude Sonnet 4
DeepSeek V4 Pro
HellaSwagCommonsense reasoning and inference
9500.0%vs8750.0%
Claude Sonnet 4
DeepSeek V4 Pro
MT-BenchMulti-turn conversation flow quality
920.0%vs918.0%
Claude Sonnet 4
DeepSeek V4 Pro

Claude Sonnet 4 Quirks & Gotchas

No developer gotchas reported.

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