Xiaomi • LLM
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 agentic capability - visual grounding, multi-step...
Context Window
262K tokens
Input Price/1M
—
Output Price/1M
—
Parameters
—
Speed
75 tok/s
Latency (TTFT)
2.7s
Max Output
66K tokens
Xiaomi: MiMo-V2-Omni results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 35.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 37.0 | 100.0 | — |
| AA Coding Index | 35.5 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 67.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 35.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 83.0 | 100.0 | Artificial Analysis official API |
| IFBench | 54.0 | 100.0 | — |
| HLE | 20.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 91.0 | 100.0 | — |
Xiaomi: MiMo-V2-Omni is an AI model developed by Xiaomi, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Xiaomi's cloud API. With a context window of 262K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Xiaomi: MiMo-V2-Omni does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Xiaomi's official website for up-to-date availability and pricing.
Xiaomi: MiMo-V2-Omni was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Xiaomi: MiMo-V2-Omni is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Xiaomi: MiMo-V2-Omni competes directly with similarly capable models. Xiaomi competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
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 agentic capability - visual grounding, multi-step...
Xiaomi: MiMo-V2-Omni does not have public per-token pricing available at this time. Check Xiaomi's official website for up-to-date information.
In available benchmarks, Xiaomi: MiMo-V2-Omni scored: Terminal-Bench Hard: 35/100, SciCode: 37/100, AA Coding Index: 35.5/100. See the full table above for a detailed comparison.
No, Xiaomi: MiMo-V2-Omni is a proprietary model from Xiaomi. It is available via cloud API. For open source alternatives, check our open source model ranking.
Xiaomi: MiMo-V2-Omni excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 22, 2026 • View methodology →