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Qwen Plus 0728 (thinking) vs Qwen2.5 VL 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 Qwen Plus 0728 (thinking) and Qwen2.5 VL 72B Instruct.

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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Alibaba

Qwen2.5 VL 72B Instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

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Technical Specifications

SpecificationQwen Plus 0728 (thinking)Qwen2.5 VL 72B Instruct
ProviderAlibabaAlibaba
Context Window1,000,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-09-082025-02-01

API Pricing Comparison

Input Price per Million Tokens

Qwen Plus 0728 (thinking)

$0.26

Qwen2.5 VL 72B Instruct

$0.80

Output Price per Million Tokens

Qwen Plus 0728 (thinking)

$0.78

Qwen2.5 VL 72B Instruct

$1.00

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.

Qwen2.5 VL 72B Instruct Quirks & Gotchas

No developer gotchas reported.