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Qwen2.5 7B Instruct: Benchmarks, Pricing & Size
Qwen2.5 7B Instruct is a language model from Qwen, released in September 2024.
Qwen2.5-7B-Instruct is an instruction-tuned 7B parameter language model that excels at following instructions, generating long texts (over 8K tokens), understanding structured data, and generating structured outputs like JSON. The model
Qwen2.5 7B Instruct pricing
Providers
Qwen2.5 7B Instruct starts at $0.300 per million input tokens and $0.300 per million output tokens via Together.
| Provider | Input $/M | Output $/M | Max Input | Max Output | Latency p95 s | Throughput P95 | Quant | Input | Output |
|---|---|---|---|---|---|---|---|---|---|
| $0.300 | $0.300 | 131.1K | 8.2K | 0.50 | 138 c/s | — |
Qwen2.5 7B Instruct model size
Qwen2.5 7B Instruct has 7.6 billion parameters and was trained on 18 trillion tokens. See how it compares to other models in the same parameter range.
Qwen2.5 7B Instruct API
API access coming soon
Qwen2.5 7B Instruct will be available through our gateway shortly.
Qwen2.5 7B Instruct examples
Recent arena outputs from Qwen2.5 7B Instruct, picked from the highest-ranked matchups.
Qwen2.5 7B Instruct license
Qwen2.5 7B Instruct is released under the Apache 2.0 license, which permits commercial use, has 7.6B parameters.
- License
- Apache 2.0
- Commercial use allowed
- Parameters
- 7.6B
Apache License 2.0 - allows commercial use
FAQ
Common questions about Qwen2.5 7B Instruct.