Alibaba Cloud / Qwen Team model product
Qwen2 72B
Qwen2-72B-Instruct is an instruction-tuned language model with 72 billion parameters, supporting a context length of up to 131,072 tokens.
Updated Aug 12, 2026. Default version: Qwen2 72B Instruct
LLMBoard score9.8Qwen2 72B Instruct
Coverage80%17 benchmark families
Context windowN/ATokens
Official input priceN/AOfficial price unavailable
Qwen2 72B Specifications
Technical details for the model's default version.
- Version
- Qwen2 72B Instruct
- Released
- Jul 23, 2024
- Knowledge cutoff
- Unknown
- Parameters
- 72B
- Context window
- N/A
- Max output
- N/A
- Inputs
- text
- Outputs
- text
- Open weights
- No
- License
- tongyi-qianwen
Qwen2 72B Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Qwen2 72B Benchmark Results
Benchmark scores for Qwen2 72B Instruct.
| TheoremQA | 44.4% | 01 | 6 | 100.0% | C | |
| CMMLU | 90.1% | 02 | 6 | 80.0% | C | |
| EvalPlus | 0.79 points | 02 | 4 | 66.7% | C | |
| Winogrande | 85.1% | 04 | 22 | 85.7% | C | |
| BBH | 82.4% | 07 | 12 | 45.5% | C | |
| HellaSwag | 87.6% | 08 | 27 | 73.1% | C | |
| MultiPL-E | 69.2% | 10 | 13 | 25.0% | C | |
| MBPP | 80.2% | 13 | 33 | 62.5% | C | |
| TruthfulQA | 54.8% | 13 | 18 | 29.4% | C | |
| C-Eval | 83.8% | 14 | 18 | 23.5% | C | |
| ARC-C | 68.9% | 24 | 34 | 30.3% | C | |
| GSM8k | 91.1% | 25 | 48 | 48.9% | C | |
| HumanEval | 86.0% | 32 | 66 | 52.3% | C | |
| MATH | 59.7% | 48 | 71 | 32.9% | C | |
| MMLU | 82.3% | 49 | 100 | 51.5% | C | |
| MMLU-Pro | 64.4% | 101 | 129 | 21.9% | C | |
| GPQA | 42.4% | 199 | 234 | 15.0% | C |
Qwen2 72B Arena Results
Preference and agent-evaluation results for the default version.
| text style control | overall | 285 | 1261.4 | 37,325 | N/A | |
| text | overall | 289 | 1203.4 | 37,325 | N/A |
Qwen2 72B Runtime Performance
Provider-specific output speed and catalog latency for Qwen2 72B Instruct. Runtime does not affect the capability score.
No runtime data
Browse runtime rankingsNo provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Qwen2 72B Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- N/A
- Tracked offerings
- 0
No provider prices
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Qwen2 72B Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
| Qwen2 72B Instruct | 9.8 | 72B | N/A | N/A | No | tongyi-qianwen |
What is Qwen2 72B?
Key information about Qwen2 72B and its available data.
Qwen2-72B-Instruct is an instruction-tuned language model with 72 billion parameters, supporting a context length of up to 131,072 tokens. It's part of the new Qwen2 series, which has surpassed most open-source models and demonstrates competitiveness against proprietary models across various benchmarks.
Data as of 2026-08-11.
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FAQ
Common questions about Qwen2 72B.
When was Qwen2 72B released?
Qwen2 72B's default version was released on Jul 23, 2024.
How much does Qwen2 72B cost?
No official standard PAYG price is currently available for Qwen2 72B.
Who created Qwen2 72B?
Qwen2 72B was created by Alibaba Cloud / Qwen Team.
What is the context window for Qwen2 72B?
A context window is not available for the default version.
Is Qwen2 72B open weight?
No. The default version is not marked as having publicly available weights.
How many API providers offer Qwen2 72B?
No provider offering is currently linked to the default version.
What models should I compare Qwen2 72B with?
Nearby ranked alternatives include Gemini 1.5 Flash, Llama 3.1 Nemotron Nano 8B, Qwen2.5 Omni 7B.