MiMo-V2-Flash (Reasoning)
Xiaomi • llm
Grande modelo de linguagem (llm) desenvolvido pela Xiaomi — Intelligence Index 39/100 no Artificial Analysis; US$ 0.100/1M tokens de entrada; 149 tokens/s de velocidade.
Specifications
Context Window
262K tokens
Input Price/1M
$0.10
Output Price/1M
$0.30
Parameters
—
Speed
135 tok/s
Latency (TTFT)
1.4s
Max Output
66K tokens
Benchmarks
MiMo-V2-Flash (Reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 28.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 87.0 | 100.0 | — |
| SciCode | 39.0 | 100.0 | — |
| AA Coding Index | 31.8 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 84.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 63.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 96.3 | 100.0 | — |
| AIME 2025 | 96.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 39.2 | 100.0 | — |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 85.0 | 100.0 | — |
| IFBench | 64.0 | 100.0 | — |
| HLE | 21.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 95.0 | 100.0 | — |
Information
- Release date
- December 16, 2025
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: MiMo-V2-Flash (Reasoning)
What is MiMo-V2-Flash (Reasoning)?
MiMo-V2-Flash (Reasoning) is an AI model developed by Xiaomi, classified as a llm model. It focuses on text processing and natural language generation. 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.
Pricing & Costs in 2026
MiMo-V2-Flash (Reasoning) is usage-based, priced at $0.1/1M input tokens and $0.3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
MiMo-V2-Flash (Reasoning) was evaluated on 13 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, 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.
Recommended Use Cases
MiMo-V2-Flash (Reasoning) 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), high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, MiMo-V2-Flash (Reasoning) 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.
Frequently Asked Questions
What is MiMo-V2-Flash (Reasoning)?
MiMo-V2-Flash (Reasoning) is an AI model developed by Xiaomi. It is a llm model.
How much does MiMo-V2-Flash (Reasoning) cost?
MiMo-V2-Flash (Reasoning) costs $0.1/1M input tokens and $0.3/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does MiMo-V2-Flash (Reasoning) compare with other models?
In available benchmarks, MiMo-V2-Flash (Reasoning) scored: Terminal-Bench Hard: 28/100, LiveCodeBench: 87/100, SciCode: 39/100. See the full table above for a detailed comparison.
Is MiMo-V2-Flash (Reasoning) open source?
No, MiMo-V2-Flash (Reasoning) is a proprietary model from Xiaomi. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is MiMo-V2-Flash (Reasoning) best for?
MiMo-V2-Flash (Reasoning) excels at general-purpose language tasks. 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 01, 2026 • View methodology →