Qwen2.5-Omni-7B: API Pricing, Context Window & Benchmarks
Qwen2.5-Omni-7B is a language model from Qwen, released in March 2025, with multimodal input.
Qwen2.5-Omni is the flagship end-to-end multimodal model in the Qwen series. It processes diverse inputs including text, images, audio, and video, delivering real-time streaming responses through text generation and natural speech
Qwen2.5-Omni-7B benchmarks
Rankings
Quality Tracker
Qwen2.5-Omni-7B Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Sat Jul 25 2026Qwen2.5-Omni-7B model size
Qwen2.5-Omni-7B has 7 billion parameters. See how it compares to other models in the same parameter range.
Qwen2.5-Omni-7B API
API availability not verified
API availability for Qwen2.5-Omni-7B has not been verified. It is not currently routed through the LLM Stats gateway.
Qwen2.5-Omni-7B latency
Qwen2.5-Omni-7B time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Qwen2.5-Omni-7B examples
Recent arena outputs from Qwen2.5-Omni-7B, picked from the highest-ranked matchups.
Qwen2.5-Omni-7B license
Qwen2.5-Omni-7B is released under the Apache 2.0 license, which permits commercial use, has 7.0B parameters.
- License
- Apache 2.0
- Commercial use allowed
- Parameters
- 7.0B
Apache License 2.0 - allows commercial use
Qwen2.5-Omni-7B resources
Official sources for Qwen2.5-Omni-7B: official playground, paper or system card, official launch post, source repository, model weights.
Qwen2.5-Omni-7B vs other models
The most-compared alternatives to Qwen2.5-Omni-7B are Claude 3.5 Sonnet, GPT-4 Turbo, Llama 3.1 70B Instruct. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Qwen2.5-Omni-7B
Models ranked just above and below Qwen2.5-Omni-7B by LLM Stats score.
FAQ
Common questions about Qwen2.5-Omni-7B.