Author's Description
Qwen2 72B is a transformer-based model that excels in language understanding, multilingual capabilities, coding, mathematics, and reasoning. It features SwiGLU activation, attention QKV bias, and group query attention. It is pretrained on extensive data with supervised finetuning and direct preference optimization. For more details, see this [blog post](https://qwenlm.github.io/blog/qwen2/) and [GitHub repo](https://github.com/QwenLM/Qwen2). Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).
Key Specifications
Supported Parameters
This model supports the following parameters:
Performance Summary
Qwen 2 72B Instruct, released on June 6, 2024, demonstrates a strong overall performance profile. It performs among the fastest models, ranking in the 61st percentile for speed across five benchmarks, and offers competitive pricing, placing in the 41st percentile. The model exhibits excellent reliability, consistently providing usable responses. In terms of specific capabilities, Qwen 2 72B Instruct shows exceptional strength in Ethics, achieving perfect 100% accuracy, making it the most accurate model at its price point and among models of comparable speed. It also performs very well in Email Classification, with 99.0% accuracy, indicating strong contextual understanding. Instruction Following is solid at 53.0% accuracy, placing it in the middle tier. However, the model shows notable weaknesses in General Knowledge, with only 20.0% accuracy, and in Coding, where it scores 59.0%. These areas suggest potential limitations in handling broad, obscure factual recall and complex programming concepts. Its architectural features, including SwiGLU activation and group query attention, contribute to its overall efficiency and performance in its strong suits.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.9 |
Completion | $0.9 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Together
|
Together | qwen/qwen-2-72b-instruct | 32K | $0.9 / 1M tokens | $0.9 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by qwen
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Qwen: Qwen3 VL 235B A22B Thinking | Sep 23, 2025 | 235B | 131K |
Text input
Image input
Text output
|
★ | ★ | $$$$$ |
Qwen: Qwen3 VL 235B A22B Instruct | Sep 23, 2025 | 235B | 131K |
Text input
Image input
Text output
|
★★★ | ★★★★★ | $$$ |
Qwen: Qwen3 Max | Sep 23, 2025 | — | 256K |
Text input
Text output
|
★★★★ | ★★★★★ | $$$$ |
Qwen: Qwen3 Coder Plus | Sep 23, 2025 | ~480B | 128K |
Text input
Text output
|
★★★★ | ★★★★ | $$$$ |
Qwen: Qwen3 Coder Flash | Sep 17, 2025 | — | 128K |
Text input
Text output
|
★★★★ | ★★★ | $$$ |
Qwen: Qwen3 Next 80B A3B Thinking | Sep 11, 2025 | 80B | 262K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Next 80B A3B Instruct | Sep 11, 2025 | 80B | 262K |
Text input
Text output
|
★★★★ | ★★★★★ | $$$$ |
Qwen: Qwen Plus 0728 | Sep 08, 2025 | ~20B | 1M |
Text input
Text output
|
★★★★★ | ★★★ | $$$ |
Qwen: Qwen3 30B A3B Thinking 2507 | Aug 28, 2025 | 30B | 262K |
Text input
Text output
|
★★ | ★★★ | $$$$ |
Qwen: Qwen3 Coder 30B A3B Instruct | Jul 31, 2025 | 30B | 262K |
Text input
Text output
|
★★★★ | ★★★ | $$ |
Qwen: Qwen3 30B A3B Instruct 2507 | Jul 29, 2025 | 30B | 131K |
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Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Coder 480B A35B | Jul 22, 2025 | 480B | 1M |
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Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
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Text output
|
★★ | ★★★ | $$$ |
Qwen: Qwen3 30B A3B | Apr 28, 2025 | 30B | 40K |
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Text output
|
★ | ★★★★★ | $$$$ |
Qwen: Qwen3 8B | Apr 28, 2025 | 8B | 128K |
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Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 14B | Apr 28, 2025 | 14B | 40K |
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|
★★ | ★★★★ | $$$ |
Qwen: Qwen3 32B | Apr 28, 2025 | 32B | 40K |
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Text output
|
★ | ★★★★★ | $$$ |
Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
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Text output
|
★ | ★★★★ | $$$$ |
Qwen: Qwen2.5 VL 32B Instruct | Mar 24, 2025 | 32B | 128K |
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Image input
Text output
|
★ | ★★★ | $$$ |
Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
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Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen VL Plus | Feb 04, 2025 | — | 7K |
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|
★★★★ | ★★ | $$$ |
Qwen: Qwen VL Max | Feb 01, 2025 | — | 7K |
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Image input
Text output
|
★★★ | ★★★ | $$$$ |
Qwen: Qwen-Turbo | Feb 01, 2025 | — | 1M |
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Text output
|
★★★★★ | ★★★★ | $$ |
Qwen: Qwen2.5 VL 72B Instruct | Feb 01, 2025 | 72B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★★★ | $$ |
Qwen: Qwen-Plus | Feb 01, 2025 | — | 131K |
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Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
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Text output
|
★★★★ | ★★★★ | $$$$ |
Qwen: QwQ 32B Preview Unavailable | Nov 27, 2024 | 32B | 32K |
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Text output
|
— | ★ | $$ |
Qwen2.5 Coder 32B Instruct | Nov 11, 2024 | ~500B | 32K |
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Text output
|
★★★★★ | ★★★★★ | $ |
Qwen: Qwen2.5 7B Instruct | Oct 15, 2024 | ~500B | 32K |
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Text output
|
★ | ★★ | $ |
Qwen2.5 72B Instruct | Sep 18, 2024 | ~500B | 32K |
Text input
Text output
|
★★★ | ★★ | $$ |
Qwen: Qwen2.5-VL 7B Instruct | Aug 27, 2024 | ~500B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$ |