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Claude Opus 4.5 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 4.5 and DeepSeek V4 Pro.

Anthropic

Claude Opus 4.5

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

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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 4.5DeepSeek V4 Pro
ProviderAnthropicDeepSeek
Context Window200,000 tokens1,048,576 tokens
Agent Suitability93/10094/100
Time to First Token (TTFT)550 ms280 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-11-242026-04-24

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.5

$5.00

DeepSeek V4 Pro

$0.43

Output Price per Million Tokens

Claude Opus 4.5

$25.00

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
9280.0%vs8850.0%
Claude Opus 4.5
DeepSeek V4 Pro
HumanEvalPython coding & logic synthesis
9420.0%vs8900.0%
Claude Opus 4.5
DeepSeek V4 Pro
MATHComplex mathematical problem solving
8750.0%vs7460.0%
Claude Opus 4.5
DeepSeek V4 Pro
GPQAGraduate-level expert reasoning
7600.0%vs4900.0%
Claude Opus 4.5
DeepSeek V4 Pro
HellaSwagCommonsense reasoning and inference
9720.0%vs8750.0%
Claude Opus 4.5
DeepSeek V4 Pro
MT-BenchMulti-turn conversation flow quality
955.0%vs918.0%
Claude Opus 4.5
DeepSeek V4 Pro

Claude Opus 4.5 Quirks & Gotchas

  • Deep analytical reasoning — best for structured problem-solving
  • 200K context is limiting compared to 1M of Opus 4.6+ — upgrade for long-document tasks

DeepSeek V4 Pro Quirks & Gotchas

  • MoE architecture — cold-start latency on first request, use keep-alive
  • Best cost-performance ratio of any frontier model — strong tool calling for agentic use