Qwen2.5-Omni-7B
- In Input modalities: TextImageAudioVideo Out Output modalities: TextAudio
- Open weights
Prices
2 offerings · prices as listedqwen2.5-omni-7b| Conditions/ 1M tokens | Input | Output |
|---|---|---|
| Text tokens no longer listed since Oct 11, 2026 | $0.10 | — |
| Image tokens no longer listed since Oct 11, 2026 | $0.28 | — |
| Audio tokens no longer listed since Oct 11, 2026 | $6.76 | $13.51 |
| Video tokens no longer listed since Oct 11, 2026 | $0.28 | — |
Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Oct 10, 2026)
qwen2.5-omni-7b| Conditions/ 1M tokens | Input | Output |
|---|---|---|
| Text tokens no longer listed since Oct 11, 2026 | ¥0.60 | — |
| Image tokens no longer listed since Oct 11, 2026 | ¥2.00 | — |
| Audio tokens no longer listed since Oct 11, 2026 | ¥38.00 | ¥76.00 |
| Video tokens no longer listed since Oct 11, 2026 | ¥2.00 | — |
Prices from 阿里云百炼：模型价格 (opens in a new tab) (checked Oct 6, 2026)
Standard: the price a request with no conditions pays (the headline price elsewhere on the site).
Details
- Max input
- 30.72K
- Reasoning
- —
- Tool use
- —
- Structured output
- —
- Knowledge cutoff
- Apr 2024
- Family
- qwen-omni
- Model ID
Not stated on Alibaba Qwen’s pages: reasoning efforts, reasoning can be off, max thinking budget, built-in tools, licence, aliases.
Run locally
Weights: Qwen/Qwen2.5-Omni-7B- Parameters 10.7B
- Dense
- Native precision BF16
- Layers 28
- KV cache per token 56 KB
- Config positions 32K (config.json max_position_embeddings)
- API context 32K (maker’s API)
- Needs
- ≈ 11.6 GB (weights 10.6 + KV cache 0.4 + overhead 0.5)
- Usable
- 21.6 GB (90% of its memory)
- Generation speed
- 42–64 tok/s
- Longest context
- 32K (the model’s limit)
- First token
- about 0.35–0.52 s for a 2K prompt
| Precision | Weights | Needs at 8K | On your hardware | Longest context |
|---|---|---|---|---|
| BF16 (native)maker’s file | 20.8 GB | ≈ 22.3 | ○Needs system memory 16–25 tok/s | — |
| Q8_0 | 10.6 GB | ≈ 11.6 | ●Runs well 42–64 tok/s | 32K |
| FP8 | 10.0 GB | ≈ 10.9 | ●Runs well 45–67 tok/s | 32K |
| Q6_K | 8.2 GB | ≈ 9.1 | ●Runs well 54–81 tok/s | 32K |
| Q5_K_M | 7.1 GB | ≈ 8.0 | ●Runs well 62–93 tok/s | 32K |
| Q5_0 | 6.9 GB | ≈ 7.8 | ●Runs well 64–96 tok/s | 32K |
| Q4_K_M | 6.1 GB | ≈ 7.0 | ●Runs well 72–108 tok/s | 32K |
| Q4_0 | 5.6 GB | ≈ 6.6 | ●Runs well 77–116 tok/s | 32K |
| INT4 (AWQ / GPTQ)maker’s file | 11.8 GB | ≈ 12.9 | ●Runs well 38–57 tok/s | 32K |
| IQ4_XS | 5.3 GB | ≈ 6.2 | ●Runs well 82–123 tok/s | 32K |
| Q3_K_Mquality drops | 4.9 GB | ≈ 5.8 | ●Runs well 88–132 tok/s | 32K |
| IQ3_XXSquality drops | 3.8 GB | ≈ 4.8 | ●Runs well 110–165 tok/s | 32K |
| Q2_Kquality drops | 3.7 GB | ≈ 4.7 | ●Runs well 112–168 tok/s | 32K |
| IQ2_XXSquality drops | 2.6 GB | ≈ 3.5 | ●Runs well 156–234 tok/s | 32K |
Click a row to choose a precision. “Maker’s file” sizes are the maker’s own files; others are parameters × bits per weight.
Compared with other hardware
Each at the highest precision it runs. Click one for details.
Smallest that runs it (Q4_K_M, 8K): GPU GeForce RTX 3080; unified memory Apple M5 · 16 GB.
Run commands
The maker publishes no files at this precision. Choose its native precision or one of its own builds, or quantise it yourself with llama.cpp.
Memory to fine-tune
Batch 1, 2,048-token sequences, gradient checkpointing; LoRA and QLoRA train rank-16 adapters on the attention projections.
Estimates; facts from the maker’s Hugging Face repositories, as of 2026-11-06. How it’s estimated
Cited scores
From third-party leaderboards, not measured by usThis model isn’t on any leaderboard we cite yet.
Changes
All changes →No changes recorded yet.
Sources
- Alibaba Cloud Model Studio pricing (opens in a new tab) alibabacloud.com · checked Oct 10, 2026
- 阿里云百炼：模型价格in Chinese (opens in a new tab) help.aliyun.com · checked Oct 6, 2026
- qwen2.5-omni-7b 模型信息-大模型服务平台百炼(Model Studio)-阿里云帮助中心in Chinese (opens in a new tab) help.aliyun.com · checked Oct 6, 2026
- Text generation models - Qwen, DeepSeek, GLM | Model Studio - Alibaba Cloud Model Studio - Alibaba Cloud Documentation Center (opens in a new tab) alibabacloud.com · checked Oct 10, 2026
- 模型上下架与更新-大模型服务平台百炼-阿里云_大模型服务平台百炼(Model Studio)-大模型服务平台百炼(Model Studio)-阿里云帮助中心in Chinese (opens in a new tab) help.aliyun.com · checked Oct 30, 2026
- models.dev: qwen2-5-omni-7b (community data, MIT) (opens in a new tab) github.com · checked Sep 30, 2026
- qwen2.5-omni-7b (opens in a new tab) docs.modelstudio.console.alibabacloud.com · checked Oct 8, 2026
- Qwen/Qwen2.5-Omni-7B model card (opens in a new tab) huggingface.co · checked Nov 1, 2026
- Qwen/Qwen2.5-Omni-7B config.json (opens in a new tab) huggingface.co · checked Nov 1, 2026
- Qwen/Qwen2.5-Omni-7B files (opens in a new tab) huggingface.co · checked Nov 3, 2026
- Qwen/Qwen2.5-Omni-7B-AWQ files (opens in a new tab) huggingface.co · checked Oct 31, 2026
- Qwen/Qwen2.5-Omni-7B-GPTQ-Int4 files (opens in a new tab) huggingface.co · checked Nov 2, 2026
Alibaba Qwen’s official policies: data use, privacy, terms →
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Alibaba Qwen · China · qwen.ai
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