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Claude Sonnet 4 vs DeepSeek R1

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 R1.

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 R1

A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.

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Technical Specifications

SpecificationClaude Sonnet 4DeepSeek R1
ProviderAnthropicDeepSeek
Context Window1,000,000 tokens163,840 tokens
Agent SuitabilityN/A78/100
Time to First Token (TTFT)N/A1800 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-05-222025-01-20

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4

$3.00

DeepSeek R1

$0.70

Output Price per Million Tokens

Claude Sonnet 4

$15.00

DeepSeek R1

$2.50

Want to test both models live?

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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%vs9080.0%
Claude Sonnet 4
DeepSeek R1
HumanEvalPython coding & logic synthesis
9150.0%vs9280.0%
Claude Sonnet 4
DeepSeek R1
MATHComplex mathematical problem solving
7880.0%vs9310.0%
Claude Sonnet 4
DeepSeek R1
GPQAGraduate-level expert reasoning
6050.0%vs6210.0%
Claude Sonnet 4
DeepSeek R1
HellaSwagCommonsense reasoning and inference
9500.0%vs9050.0%
Claude Sonnet 4
DeepSeek R1
MT-BenchMulti-turn conversation flow quality
920.0%vs935.0%
Claude Sonnet 4
DeepSeek R1

Claude Sonnet 4 Quirks & Gotchas

No developer gotchas reported.

DeepSeek R1 Quirks & Gotchas

  • โ–ธReasoning model โ€” not designed for high-frequency tool calling
  • โ–ธPair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only