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- Qwen
- Qwen2 72B Instruct
Qwen2 72B Instruct: API Pricing, Context Window & Benchmarks
Qwen2 72B Instruct is a language model from Qwen, released in July 2024.
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
Qwen2 72B Instruct benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
How Qwen2 72B Instruct performs across real-world prompt categories.
Performance by conversation depth
How Qwen2 72B Instruct holds up as conversations get longer.
Quality Tracker
Qwen2 72B Instruct Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
Qwen2 72B Instruct API
Available from the model provider
Qwen2 72B Instruct has an official provider API. It is not currently routed through the LLM Stats gateway.
Read the official API documentationQwen2 72B Instruct latency
Qwen2 72B Instruct time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Qwen2 72B Instruct examples
Recent arena outputs from Qwen2 72B Instruct, picked from the highest-ranked matchups.
Qwen2 72B Instruct license
Qwen2 72B Instruct is a proprietary model available under its provider's product and API terms, has 72.0B parameters.
- License
- tongyi-qianwen
- Hosted access
- Parameters
- 72.0B
Qwen2 72B Instruct resources
Official sources for Qwen2 72B Instruct: api documentation, paper or system card, official launch post.
Qwen2 72B Instruct vs other models
The most-compared alternatives to Qwen2 72B Instruct are Claude 3 Opus, Llama 3.1 70B Instruct, Nova Lite. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Qwen2 72B Instruct
Models ranked just above and below Qwen2 72B Instruct by LLM Stats score.
FAQ
Common questions about Qwen2 72B Instruct.