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 governance platform, 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 is counted as costing nothing. 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 Small (latest)Mistral AI · $0.1 in · $0.3 out · 32K 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