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Qwen 2.5 72B vs Qwen-Plus

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 2.5 72B and Qwen-Plus.

Alibaba

Qwen 2.5 72B

Qwen 2.5 72B is Alibaba Cloud's flagship open-weight large language model from the Qwen 2.5 generation, delivering GPT-4-class performance across general reasoning, coding, mathematics, and multilingual tasks with strong Chinese-language superiority. It supports a 131,072-token context window and is available under a permissive Apache 2.0 license for both research and commercial use, making it one of the most popular open-weight alternatives to Llama for bilingual applications.

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Alibaba

Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

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Technical Specifications

SpecificationQwen 2.5 72BQwen-Plus
ProviderAlibabaAlibaba
Context Window131,072 tokens1,000,000 tokens
Agent Suitability88/100N/A
Time to First Token (TTFT)280 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-09-192025-02-01

API Pricing Comparison

Input Price per Million Tokens

Qwen 2.5 72B

$0.40

Qwen-Plus

$0.26

Output Price per Million Tokens

Qwen 2.5 72B

$0.80

Qwen-Plus

$0.78

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
N/Avs8100.0%
Qwen 2.5 72B
Qwen-Plus
HumanEvalPython coding & logic synthesis
N/Avs8250.0%
Qwen 2.5 72B
Qwen-Plus
MATHComplex mathematical problem solving
N/Avs5500.0%
Qwen 2.5 72B
Qwen-Plus
GPQAGraduate-level expert reasoning
N/Avs3700.0%
Qwen 2.5 72B
Qwen-Plus
HellaSwagCommonsense reasoning and inference
N/Avs8300.0%
Qwen 2.5 72B
Qwen-Plus
MT-BenchMulti-turn conversation flow quality
N/Avs865.0%
Qwen 2.5 72B
Qwen-Plus

Qwen 2.5 72B Quirks & Gotchas

  • โ–ธStrong bilingual (ZH/EN) performance โ€” best open model for Chinese-language tasks
  • โ–ธSelf-hostable via vLLM or Ollama with 4-bit quantization

Qwen-Plus Quirks & Gotchas

No developer gotchas reported.