Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
| Attribute | MiMo-V2-Omnimimo-v2-omni | Universal-3.5 Prouniversal-3-5-pro | GPT-6 Solgpt-6-sol |
|---|---|---|---|
| Pricing | |||
| Input | $0.40 / 1M | — Not priced per input token | $2.00 / 1M |
| Output | $2.00 / 1M | — Not priced per output token | $10.00 / 1M |
| Cache Write (5m) | $0.40 / 1M | Not applicable | $2.00 / 1M |
| Cache Write (1h) | $0.40 / 1M | Not applicable | $2.00 / 1M |
| Cache Read | $0.40 / 1M | Not applicable | $2.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 262.1K | N/A | 1.1M |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | No | Yes |
| Function Calling | Yes | No | Yes |
| JSON Mode | Yes | No | Yes |
| Streaming | Yes | No | Yes |
| Catalogue | |||
| Provider | Xiaomi | AssemblyAI | OpenAI |
| Category | chat | voice | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-09-22 | — |
| Description | |||
| Summary | MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with advanced agentic capabilities, including visual grounding, multi-step planning, tool use, and code execution. With a 256K context window, MiMo-V2-Omni is well suited for complex real-world tasks that span multiple modalities, enabling integrated reasoning and execution across diverse input types. | AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio. | GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications |