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

Claude 3 Opus 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 3 Opus and DeepSeek R1.

Anthropic

Claude 3 Opus

Claude 3 Opus is Anthropic's most powerful model from the first Claude 3 generation, engineered for deep analysis, comprehensive research, and demanding multi-step task execution. Released in March 2024, it represented the frontier of Anthropic's capabilities at the time, with a 200,000-token context window suitable for processing large documents, synthesizing diverse research sources, and generating expert-level written content. Priced at $15/MTok for input, Claude 3 Opus remains available for teams with specific requirements for Claude 3-generation behavior, though most use cases are better served by the improved Claude 4 series.

View Full Specs
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.

View Full Specs

Technical Specifications

SpecificationClaude 3 OpusDeepSeek R1
ProviderAnthropicDeepSeek
Context Window200,000 tokens163,840 tokens
Agent SuitabilityN/A78/100
Time to First Token (TTFT)N/A1800 ms
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-042025-01-20

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Opus

$15.00

DeepSeek R1

$0.70

Output Price per Million Tokens

Claude 3 Opus

$75.00

DeepSeek R1

$2.50

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
8680.0%vs9080.0%
Claude 3 Opus
DeepSeek R1
HumanEvalPython coding & logic synthesis
8490.0%vs9280.0%
Claude 3 Opus
DeepSeek R1
MATHComplex mathematical problem solving
6010.0%vs9310.0%
Claude 3 Opus
DeepSeek R1
GPQAGraduate-level expert reasoning
5040.0%vs6210.0%
Claude 3 Opus
DeepSeek R1
HellaSwagCommonsense reasoning and inference
9500.0%vs9050.0%
Claude 3 Opus
DeepSeek R1
MT-BenchMulti-turn conversation flow quality
900.0%vs935.0%
Claude 3 Opus
DeepSeek R1

Claude 3 Opus 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