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Claude Opus 4.1 vs Hunyuan 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 4.1 and Hunyuan Pro.

Anthropic

Claude Opus 4.1

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

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Tencent

Hunyuan Pro

Hunyuan Pro (混元 Pro) is Tencent's flagship large language model developed by Tencent AI Lab, designed to power AI features across Tencent's vast ecosystem including WeChat, QQ, and enterprise cloud services. It achieves top-tier performance on Chinese-language benchmarks and strong multilingual capabilities, with native support for text, image, and video understanding. Hunyuan Pro is deployed at massive scale across Tencent's advertising, content recommendation, and customer service systems, processing billions of inference requests daily.

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Technical Specifications

SpecificationClaude Opus 4.1Hunyuan Pro
ProviderAnthropicTencent
Context Window200,000 tokens256,000 tokens
Agent SuitabilityN/A85/100
Time to First Token (TTFT)N/A320 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-052025-11-01

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.1

$15.00

Hunyuan Pro

$0.60

Output Price per Million Tokens

Claude Opus 4.1

$75.00

Hunyuan Pro

$1.20

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.

Claude Opus 4.1 Quirks & Gotchas

No developer gotchas reported.

Hunyuan Pro Quirks & Gotchas

  • Massive daily inference volume — battle-tested at WeChat scale
  • API available through Tencent Cloud — requires Chinese enterprise account