Qwen2.5-Omni 7B pricing, context window and limits
Qwen2.5-Omni 7B costs $0.087 per million input tokens and $0.345 per million output tokens at Alibaba Qwen list price. It accepts up to 32,768 tokens of context and returns up to 2,048 tokens.
- Model id
qwen2-5-omni-7b - Snapshot
What does Qwen2.5-Omni 7B cost?
| Input | $0.087 |
|---|---|
| Output | $0.345 |
| Cached input (read) | — |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can Qwen2.5-Omni 7B read and write?
| Context window | 32,768 |
|---|---|
| Max output | 2,048 |
What can Qwen2.5-Omni 7B do?
| Vision (image input) | Yes |
|---|---|
| Tool calling | Yes |
| Structured output | No |
| Reasoning | No |
| Input | text, image, audio, video |
| Output | text, audio |
What does a request to Qwen2.5-Omni 7B cost?
| A typical request: 1,000 tokens in, 500 out | $0.00026 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.0012 |
| 1,000 typical requests | $0.26 |
| 1 million tokens in and 1 million out | $0.43 |
Among 64 Alibaba Qwen models with a published price, Qwen2.5-Omni 7B is the 14th cheapest by input price. Its context window is the 51st largest of 64. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call Qwen2.5-Omni 7B through DVARA?
Configure the qwen provider in the DVARA LLM Gateway and send the model id qwen2-5-omni-7b. DVARA, the AI gateway, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set gets no cost record: its calls count against no budget and appear in no report, and the gateway records the model as unpriced. Every cost record says which price it used.
Which other Alibaba Qwen models are there?
- Qwen2.5-Math 7B Instruct$0.144 in · $0.287 out · 4K context
- Qwen2.5-VL 72B Instruct$2.294 in · $6.881 out · 131K context
- Qwen2.5-Math 72B Instruct$0.574 in · $1.721 out · 4K context
- Qwen2.5-VL 7B Instruct$0.287 in · $0.717 out · 131K context
- Qwen2.5-Coder 7B Instruct$0.144 in · $0.287 out · 131K context
- Qwen2.5-Coder 32B Instruct$0.287 in · $0.861 out · 131K context
- Qwen2.5 7B Instruct$0.072 in · $0.144 out · 131K context
- Qwen2.5 72B Instruct$0.574 in · $1.721 out · 131K context
- Qwen2.5 32B Instruct$0.287 in · $0.861 out · 131K context
- Qwen2.5 14B Instruct$0.144 in · $0.431 out · 131K context
- Qwen3 14B$0.144 in · $0.574 out · 131K context
- Qwen3 235B-A22B$0.287 in · $1.147 out · 131K context
Which models from other providers are similar to Qwen2.5-Omni 7B?
These are the closest in context window and input price, one per provider.
- Voxtral Small 24B 2507Amazon Bedrock · $0.1 in · $0.3 out · 33K context
- Voxtral SmallMistral AI · $0.1 in · $0.4 out · 33K context
- Nano BananaGoogle Gemini · $0.3 in · $30 out · 33K context
- text-embedding-ada-002OpenAI · $0.1 in · $0 out · 8K context
- GPT OSS 20BGroq · $0.075 in · $0.3 out · 131K context