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Qwen Plus 0728 (thinking) vs R1 0528

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 Qwen Plus 0728 (thinking) and R1 0528.

Alibaba

Qwen Plus 0728 (thinking)

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

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DeepSeek

R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...

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Technical Specifications

SpecificationQwen Plus 0728 (thinking)R1 0528
ProviderAlibabaDeepSeek
Context Window1,000,000 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-09-082025-05-28

API Pricing Comparison

Input Price per Million Tokens

Qwen Plus 0728 (thinking)

$0.26

R1 0528

$0.50

Output Price per Million Tokens

Qwen Plus 0728 (thinking)

$0.78

R1 0528

$2.15

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.

Qwen Plus 0728 (thinking) Quirks & Gotchas

No developer gotchas reported.

R1 0528 Quirks & Gotchas

No developer gotchas reported.