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Claude Opus 4.6 vs Qwen2.5 72B Instruct

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 4.6 and Qwen2.5 72B Instruct.

Anthropic

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

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Alibaba

Qwen2.5 72B Instruct

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

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Technical Specifications

SpecificationClaude Opus 4.6Qwen2.5 72B Instruct
ProviderAnthropicAlibaba
Context Window1,000,000 tokens131,072 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042024-09-19

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Qwen2.5 72B Instruct

$0.36

Output Price per Million Tokens

Claude Opus 4.6

$25.00

Qwen2.5 72B Instruct

$0.40

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
9250.0%vs8530.0%
Claude Opus 4.6
Qwen2.5 72B Instruct
HumanEvalPython coding & logic synthesis
9450.0%vs8660.0%
Claude Opus 4.6
Qwen2.5 72B Instruct
MATHComplex mathematical problem solving
8890.0%vs7460.0%
Claude Opus 4.6
Qwen2.5 72B Instruct
GPQAGraduate-level expert reasoning
7980.0%vs4800.0%
Claude Opus 4.6
Qwen2.5 72B Instruct
HellaSwagCommonsense reasoning and inference
9750.0%vs8820.0%
Claude Opus 4.6
Qwen2.5 72B Instruct
MT-BenchMulti-turn conversation flow quality
965.0%vs912.0%
Claude Opus 4.6
Qwen2.5 72B Instruct

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

Qwen2.5 72B Instruct Quirks & Gotchas

No developer gotchas reported.