Model reference · Synced 2025-04-29
Qwen2.5-Omni 7B
Qwen2.5-Omni 7B is an AI model from Alibaba (China). 33K context window. Capabilities: tool calling, multimodal vision, audio, open weights. Available on 2 providers. Cheapest listing: $0.087 input / $0.345 output per 1M tokens.
Quick facts
- Cheapest input: $0.087 per 1M tokens (Alibaba (China))
- Cheapest output: $0.345 per 1M tokens
- Context window: 33K tokens
- Max output: 2K tokens
- Release date: 2024-12
- Knowledge cutoff: 2024-04
- Capabilities: tool calling, multimodal vision, audio, open weights
- Provider count: 2
Provider pricing
Same model, different providers, different prices. Cheapest first.
| Provider | Input / 1M | Output / 1M | Context | Listed |
|---|---|---|---|---|
| Alibaba (China) | $0.087 | $0.345 | 33K | 2024-12 |
| Alibaba | $0.1 | $0.4 | 33K | 2024-12 |
Prices synced daily from models.dev + provider docs.
How to use this model
If you're picking Qwen2.5-Omni 7B for a project, the three things that matter most:
- Compare it side-by-side with one or two alternatives in the live comparison tool. Pricing differences matter more than benchmarks at scale.
- Pick the cheapest provider that meets your latency / SLA need. Big spread across providers for the same weights.
- Re-evaluate every 3 months. Frontier prices drop fast; a model that's cheapest today may not be in a quarter.
Related models
FAQ
How much does Qwen2.5-Omni 7B cost? $0.087 input / $0.345 output per 1M tokens at the cheapest listing. See the table above for other providers.
What is the context window? 33K tokens.
Which providers offer it? Alibaba, Alibaba (China).
Where do these numbers come from? models.dev + provider documentation, synced daily. About the data.