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Claude Opus 4.7 vs DeepSeek V3.2

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 4.7 and DeepSeek V3.2.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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DeepSeek

DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

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Technical Specifications

SpecificationClaude Opus 4.7DeepSeek V3.2
ProviderAnthropicDeepSeek
Context Window1,000,000 tokens131,072 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162025-12-01

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

DeepSeek V3.2

$0.23

Output Price per Million Tokens

Claude Opus 4.7

$25.00

DeepSeek V3.2

$0.34

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
9410.0%vsN/A
Claude Opus 4.7
DeepSeek V3.2
HumanEvalPython coding & logic synthesis
9610.0%vsN/A
Claude Opus 4.7
DeepSeek V3.2
MATHComplex mathematical problem solving
9150.0%vsN/A
Claude Opus 4.7
DeepSeek V3.2
GPQAGraduate-level expert reasoning
8420.0%vsN/A
Claude Opus 4.7
DeepSeek V3.2
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Claude Opus 4.7
DeepSeek V3.2
MT-BenchMulti-turn conversation flow quality
975.0%vsN/A
Claude Opus 4.7
DeepSeek V3.2

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

DeepSeek V3.2 Quirks & Gotchas

No developer gotchas reported.