Xiaomi: MiMo-V2.6-Flash
xiaomi/mimo-v2.6-flash
Model weightsMiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
| $0.180 | $0.360 | $0.00450 | 0.53s | 177 tok/s | ||
| $0.140 | $0.280 | $0.00300 | 0.51s | 64 tok/s | ||
| $0.140 | $0.280 | $0.00280 | 3.22s | 30 tok/s | ||
20% off | $0.14$0.112 | $0.28$0.224 | $0.003$0.00240 | 2.79s | 28 tok/s | |
| $0.165 | $0.330 | $0.00400 | 0.72s | 24 tok/s | ||
| $0.100 | $0.280 | $0.00280 | 8.51s | 19 tok/s | ||
| $0.175 | $0.350 | $0.00375 | 3.75s | 34 tok/s | ||
| $0.140 | $0.280 | $0.00280 | 1.82s | 35 tok/s |
- Input $0.18 / Output $0.36177 tok/s99.82% uptime
Input $0.14 / Output $0.2864 tok/s98.29% uptime- Input $0.14 / Output $0.2830 tok/s100.00% uptime
- Input $0.112 / Output $0.22420% off28 tok/s99.95% uptime
- Input $0.165 / Output $0.3324 tok/s95.29% uptime
Input $0.10 / Output $0.2819 tok/s99.10% uptime- Input $0.175 / Output $0.3534 tok/s89.89% uptime
Input $0.14 / Output $0.2835 tok/s34.90% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
MiMo-V2.6-Flash — Price history
| $0.0130 | $0.280 | 92.6% | 89.5% | ||
| $0.0194 | $0.223 | 84.5% | 2.1% | ||
| $0.0431 | $0.350 | 77.0% | 0.9% | ||
| $0.0462 | $0.329 | 73.8% | 0.1% | ||
| $0.0498 | $0.279 | 65.8% | 3.6% | ||
| $0.0523 | $0.359 | 72.7% | 3.4% | ||
| $0.0827 | $0.279 | 17.6% | 0.0% | ||
| $0.0409 | $0.280 | 72.2% | 0.4% |
- Effective in $0.0130 / Effective out $0.280Token share89.5%
- Effective in $0.0194 / Effective out $0.223Token share2.1%
- Effective in $0.0431 / Effective out $0.350Token share0.9%
- Effective in $0.0462 / Effective out $0.329Token share0.1%
- Effective in $0.0498 / Effective out $0.279Token share3.6%
- Effective in $0.0523 / Effective out $0.359Token share3.4%
- Effective in $0.0827 / Effective out $0.279Token share0.0%
- Effective in $0.0409 / Effective out $0.280Token share0.4%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | MiMo-V2.6-Flash Intelligence Index | 26.7 |
| Artificial Analysis | MiMo-V2.6-Flash HLE | 35.1% |
| Artificial Analysis | MiMo-V2.6-Flash AA-LCR | 74.3% |
| Artificial Analysis | MiMo-V2.6-Flash GDPval-AA | 55.7% |
| Artificial Analysis | MiMo-V2.6-Flash CritPt | 12.0% |
| Artificial Analysis | MiMo-V2.6-Flash SciCode | 51.3% |
| Artificial Analysis | MiMo-V2.6-Flash Terminal-Bench 4.0 | 22.7% |
| Artificial Analysis | MiMo-V2.6-Flash AA-Omniscience Accuracy | 27.2% |
| Artificial Analysis | MiMo-V2.6-Flash AA-Omniscience Non-Hallucination Rate | 47.8% |
| Vals AI | MiMo V2.6 Flash Access to Justice Benchmark | 70.7% |
| Vals AI | MiMo V2.6 Flash BioMysteryBench | 69.3% |
| Vals AI | MiMo V2.6 Flash Code Migration v1.1 | 39.6% |
| Vals AI | MiMo V2.6 Flash CyberBench v1.1 | 75.4% |
| Vals AI | MiMo V2.6 Flash EMB v1.1 | 68.9% |
| Vals AI | MiMo V2.6 Flash Finance Agent v2.1 | 63.3% |
| Vals AI | MiMo V2.6 Flash Vals Finance Index | 57.1% |
| Vals AI | MiMo V2.6 Flash HLAB-Vals-1.1 | 13.3% |
| Vals AI | MiMo V2.6 Flash IOI | 47.7% |
| Vals AI | MiMo V2.6 Flash Vals Legal Index | 69.0% |
| Vals AI | MiMo V2.6 Flash Legal Research Bench | 38.0% |
| Vals AI | MiMo V2.6 Flash MedCode | 41.1% |
| Vals AI | MiMo V2.6 Flash MedScribe | 85.3% |
| Vals AI | MiMo V2.6 Flash MysteryMechanism | 21.6% |
| Vals AI | MiMo V2.6 Flash ProgramBench | 0.5% |
| Vals AI | MiMo V2.6 Flash ProofBench v1.1 | 63.0% |
| Vals AI | MiMo V2.6 Flash Public Benefits Bench v1.1 | 67.6% |
| Vals AI | MiMo V2.6 Flash SAGE | 83.3% |
| Vals AI | MiMo V2.6 Flash Vals Science Index | 31.7% |
| Vals AI | MiMo V2.6 Flash SRE Bench | 4.2% |
| Vals AI | MiMo V2.6 Flash Tax Agent Bench | 28.5% |
| Vals AI | MiMo V2.6 Flash Terminal-Bench 4.0 | 24.2% |
| Vals AI | MiMo V2.6 Flash Terminal-Bench-Science | 4.3% |
| Vals AI | MiMo V2.6 Flash Vals Index | 54.8% |
| Vals AI | MiMo V2.6 Flash Vibe Code Bench v1.1 | 79.0% |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Documentation
Guides, cookbooks, blog posts, and tools for building with Xiaomi: MiMo-V2.6-Flash on OpenRouter.
Frequently asked questions
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities.
The MiMo-V2.6-Flash documentation on OpenRouter includes the How to Benchmark LLMs blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.
MiMo-V2.6-Flash costs $0.10/M input tokens and $0.28/M output tokens, with separate rates for Cache Read at $0.0028/M tokens.
MiMo-V2.6-Flash has a 1,050,000 token context window. It supports up to 131,072 completion tokens.
Yes. MiMo-V2.6-Flash accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
MiMo-V2.6-Flash accepts text, images, video, and audio as input and returns text.
MiMo-V2.6-Flash is served by 8 providers on OpenRouter: Darkbloom, GMICloud, Cohere, DeepInfra, Xiaomi, Tenstorrent, Venice, and Makora. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
MiMo-V2.6-Flash was released on September 21, 2026.