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: Qwen-Turbo is 1900% cheaper
💰Qwen: Qwen-Turbo is 95% cheaper than Qwen3 235B A22B Thinking 2507 FP8
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
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...