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 | GPT-6 Lunagpt-6-luna | Gemini 3.5 Transcribegemini-3.5-transcribe |
|---|---|---|---|
| Pricing | |||
| Input | $0.40 / 1M | $0.10 / 1M | — Not priced per input token |
| Output | $2.00 / 1M | $0.50 / 1M | — Not priced per output token |
| Cache Write (5m) | $0.40 / 1M | $0.10 / 1M | Not applicable |
| Cache Write (1h) | $0.40 / 1M | $0.10 / 1M | Not applicable |
| Cache Read | $0.40 / 1M | $0.10 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 262.1K | 1.1M | 98.3K |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | Yes | Yes |
| Function Calling | Yes | Yes | Yes |
| JSON Mode | Yes | Yes | No |
| Streaming | Yes | Yes | No |
| Catalogue | |||
| Provider | Xiaomi | OpenAI | |
| Category | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | 2026-09-25 |
| 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. | GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability. | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. |