Author's Description
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 mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. - Long-context Support up to 128K tokens and can generate up to 8K tokens. - Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more. 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:
Features
This model supports the following features:
Performance Summary
Qwen2.5 72B Instruct, released on September 18, 2024, demonstrates exceptional performance across several key metrics. It consistently ranks among the fastest models available and offers competitive pricing, typically providing cost-effective solutions. The model exhibits outstanding reliability with a 99% success rate, indicating minimal technical failures. In terms of capabilities, Qwen2.5 72B shows perfect accuracy in Hallucinations (Baseline) and Ethics (Baseline) benchmarks, highlighting its strong ability to acknowledge uncertainty and adhere to ethical principles. Its General Knowledge is robust at 99.5% accuracy. The model also performs well in Coding (85.0% accuracy) and Reasoning (74.0% accuracy). A significant strength is its improved instruction following, achieving 67.0% accuracy in the more complex benchmark, a notable improvement over its predecessor. It also boasts strong multilingual support and enhanced long-context capabilities up to 128K tokens. While its Mathematics performance at 83.8% is solid, it is not a top-tier result compared to other benchmarks. The initial Instruction Following (Baseline) benchmark showing 0.0% accuracy appears to be an anomaly or a misinterpretation of the test, as the subsequent, more detailed Instruction Following benchmark shows a strong 67.0% accuracy.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.12 |
Completion | $0.39 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
DeepInfra
|
DeepInfra | qwen/qwen-2.5-72b-instruct | 32K | $0.12 / 1M tokens | $0.39 / 1M tokens |
Nebius
|
Nebius | qwen/qwen-2.5-72b-instruct | 131K | $0.13 / 1M tokens | $0.4 / 1M tokens |
Novita
|
Novita | qwen/qwen-2.5-72b-instruct | 32K | $0.38 / 1M tokens | $0.4 / 1M tokens |
Hyperbolic
|
Hyperbolic | qwen/qwen-2.5-72b-instruct | 131K | $0.4 / 1M tokens | $0.4 / 1M tokens |
Fireworks
|
Fireworks | qwen/qwen-2.5-72b-instruct | 32K | $0.07 / 1M tokens | $0.26 / 1M tokens |
Together
|
Together | qwen/qwen-2.5-72b-instruct | 131K | $1.2 / 1M tokens | $1.2 / 1M tokens |
Chutes
|
Chutes | qwen/qwen-2.5-72b-instruct | 32K | $0.07 / 1M tokens | $0.26 / 1M tokens |
NextBit
|
NextBit | qwen/qwen-2.5-72b-instruct | 65K | $0.07 / 1M tokens | $0.26 / 1M tokens |
Chutes
|
Chutes | qwen/qwen-2.5-72b-instruct | 32K | $0.07 / 1M tokens | $0.26 / 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 |
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Coder 480B A35B | Jul 22, 2025 | 480B | 1M |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
Text input
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 |
Text input
Text output
|
★★ | ★★★★ | $$$ |
Qwen: Qwen3 32B | Apr 28, 2025 | 32B | 40K |
Text input
Text output
|
★ | ★★★★★ | $$$ |
Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
Text input
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
|
★ | ★★★ | $$$ |
Qwen: Qwen VL Plus | Feb 04, 2025 | — | 7K |
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Image input
Text output
|
★★★★ | ★★ | $$$ |
Qwen: Qwen VL Max | Feb 01, 2025 | — | 7K |
Text input
Image input
Text output
|
★★★ | ★★★ | $$$$ |
Qwen: Qwen-Turbo | Feb 01, 2025 | — | 1M |
Text input
Text output
|
★★★★★ | ★★★★ | $$ |
Qwen: Qwen2.5 VL 72B Instruct | Feb 01, 2025 | 72B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★★★ | $$ |
Qwen: Qwen-Plus | Feb 01, 2025 | — | 131K |
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
Text input
Text output
|
★★★★ | ★★★★ | $$$$ |
Qwen: QwQ 32B Preview Unavailable | Nov 27, 2024 | 32B | 32K |
Text input
Text output
|
— | ★ | $$ |
Qwen2.5 Coder 32B Instruct | Nov 11, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★★ | ★★★★★ | $ |
Qwen: Qwen2.5 7B Instruct | Oct 15, 2024 | ~500B | 32K |
Text input
Text output
|
★ | ★★ | $ |
Qwen: Qwen2.5-VL 7B Instruct | Aug 27, 2024 | ~500B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$ |
Qwen 2 72B Instruct Unavailable | Jun 06, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$$ |