Qwen-Omni Turbo
Qwen-Omni Turbo is an Alibaba proprietary model, released 19 Jan 2025. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $0.120 per million tokens blended it is among the cheapest fifth of ranked models.
- Blended price
- $0.120/M
- $0.070 in · $0.270 out
- Output speed
- –
- First answer
- –
- Context
- 33k
- Full answer
- –
- Cost per run
- –
- Released
- 19 Jan 2025
No independent quality benchmark results yet — only pricing and metadata.
Price history
The price above, per 1M tokens, every day it changed.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0001 | – | – |
| Summarize a 30-page report | 12,000 / 600 | $0.0010 | – | – |
| Code edit | 6,000 / 1,500 | $0.0008 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.0053 | – | – |
| Structured extraction | 2,000 / 200 | $0.0002 | – | – |
More from Alibaba
See also
Questions people ask
- Why does Qwen-Omni Turbo have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 24 Oct 2026 Qwen-Omni Turbo has 0 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Qwen-Omni Turbo cost per 1M tokens?
- As of 24 Oct 2026, Qwen-Omni Turbo costs $0.070 per 1M input tokens and $0.270 per 1M output tokens, $0.120 blended (three input tokens per output token). The list price last changed on 24 Oct 2026.
- When was Qwen-Omni Turbo released?
- Alibaba released Qwen-Omni Turbo on 19 Jan 2025.
Data as of 24 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Qwen-Omni Turbo: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/qwen-omni-turbo.