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Claude Opus Latest 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 Opus Latest and DeepSeek V4 Pro.

Anthropic

Claude Opus Latest

This model always redirects to the latest model in the Claude Opus family.

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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 Opus LatestDeepSeek 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 Date2026-04-212026-04-24

API Pricing Comparison

Input Price per Million Tokens

Claude Opus Latest

$5.00

DeepSeek V4 Pro

$0.43

Output Price per Million Tokens

Claude Opus Latest

$25.00

DeepSeek V4 Pro

$0.87

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
N/Avs8850.0%
Claude Opus Latest
DeepSeek V4 Pro
HumanEvalPython coding & logic synthesis
N/Avs8900.0%
Claude Opus Latest
DeepSeek V4 Pro
MATHComplex mathematical problem solving
N/Avs7460.0%
Claude Opus Latest
DeepSeek V4 Pro
GPQAGraduate-level expert reasoning
N/Avs4900.0%
Claude Opus Latest
DeepSeek V4 Pro
HellaSwagCommonsense reasoning and inference
N/Avs8750.0%
Claude Opus Latest
DeepSeek V4 Pro
MT-BenchMulti-turn conversation flow quality
N/Avs918.0%
Claude Opus Latest
DeepSeek V4 Pro

Claude Opus Latest 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