Qwen: Qwen-Turbo
qwen
Qwen-Turbo, based on Qwen2.5, is a 1M context model that provides fast speed and low cost, suitable for simple tasks.
- Context window
- 131,072 tokens
- Input cost
- $0.03 / 1M
- Output cost
- $0.13 / 1M
- Latency (p50)
- —
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Run side-by-side checks for pricing, context window, and latency.
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 Coder 7B Instruct is 8% cheaper
💰Qwen: Qwen2.5 Coder 7B Instruct is 8% cheaper than Qwen: Qwen-Turbo
raghav-singhal
Open-source 1pp-0.58b-v2-asst-seed1234-sft model from raghav-singhal — available for download and self-hosting on Hugging Face.
raghav-singhal
Open-source 1pp-0.98b-v2-raw-seed42-sft model from raghav-singhal — available for download and self-hosting on Hugging Face.
raghav-singhal
Open-source 1pp-0.58b-v2-raw-seed1234-sft model from raghav-singhal — available for download and self-hosting on Hugging Face.
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qwen
Qwen-Turbo, based on Qwen2.5, is a 1M context model that provides fast speed and low cost, suitable for simple tasks.
qwen
Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE,...