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Favicon for xiaomi

Xiaomi: MiMo-V2.5

xiaomi/mimo-v2.5

Model weights
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MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding tasks. Its 1M context window supports complete documents, extended conversations, and complex task contexts in a single pass, making it ideal for integration with agent frameworks where strong reasoning, rich perception, and cost efficiency all matter.

Modalities
In / Out Price
15% off
$0.119 / $0.238per 1M
Context
1.1M
Released
Apr 22, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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), Floor (cheapest), or Exacto (highest tool-calling accuracy).

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.

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).

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.

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.

Benchmark score summary for Xiaomi: MiMo-V2.5 (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisMiMo-V2.5 Coding Index56.8
Artificial AnalysisMiMo-V2.5 Agentic Index15.8
Artificial AnalysisMiMo-V2.5 GPQA Diamond84.9%
Artificial AnalysisMiMo-V2.5 HLE27.2%
Artificial AnalysisMiMo-V2.5 IFBench67.1%
Artificial AnalysisMiMo-V2.5 τ²-Bench Telecom90.6%
Artificial AnalysisMiMo-V2.5 AA-LCR73.0%
Artificial AnalysisMiMo-V2.5 GDPval-AA24.3%
Artificial AnalysisMiMo-V2.5 CritPt3.7%
Artificial AnalysisMiMo-V2.5 SciCode43.9%
Artificial AnalysisMiMo-V2.5 Terminal-Bench Hard41.7%
Artificial AnalysisMiMo-V2.5 AA-Omniscience Accuracy16.8%
Artificial AnalysisMiMo-V2.5 AA-Omniscience Non-Hallucination Rate68.1%
Design ArenaMiMo-V2.5 Models Arena 3D Elo1232
Design ArenaMiMo-V2.5 Models Arena Asciiart Elo1158
Design ArenaMiMo-V2.5 Models Arena Code Categories Elo1269
Design ArenaMiMo-V2.5 Models Arena Data Visualization Elo1260
Design ArenaMiMo-V2.5 Models Arena Game Development Elo1258
Design ArenaMiMo-V2.5 Models Arena SVG Elo1175
Design ArenaMiMo-V2.5 Models Arena UI Component Elo1266
Design ArenaMiMo-V2.5 Models Arena Website Elo1273

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.

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$0.14$0.119$0.28$0.238$0.003$0.002552.80s25 tps
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Throughput
28tok/s

P50, best across providers

Latency
1.75s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchStreamLake83.1%--Venice88.5%74.0%Xiaomi84.3%71.7%Parasail77.0%--NovitaAI83.8%69.1%
+3 more providers
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
98.86%

Availability over the last 3 days

Last 72 hours
Availability 98.86%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
98.84%
Without Routing
94.56%

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 customization options.

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Frequently asked questions

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding tasks.

MiMo-V2.5 costs $0.119/M input tokens and $0.238/M output tokens, with separate rates for Cache Read at $0.00255/M tokens.

MiMo-V2.5 has a 1,050,000 token context window.

Yes. MiMo-V2.5 accepts tools and tool_choice for function calling on 4 of the 5 providers serving it, and requests that send tools are routed to those providers. It also supports structured outputs via a JSON schema in response_format.

MiMo-V2.5 accepts text, audio, images, and video as input and returns text.

MiMo-V2.5 is served by 5 providers on OpenRouter: GMICloud, Xiaomi, StreamLake, NovitaAI, and Venice. 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-V2.5 was released on April 22, 2026.

More models from Xiaomi

MiMo-V2.6-Pro-UltraSpeed

MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x the output speed. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

Text1.0M context$4.35 / $8.70
MiMo-V2.6-Flash

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. 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.

Text1.0M context$0.14 / $0.28
MiMo-V2.6-Pro

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding workloads. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

Text1.1M context$0.43 / $0.87
MiMo-V2.5-Pro

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro. It can independently and autonomously complete professional tasks that would take human experts days or weeks, involving more than a thousand tool calls. Its context length of up to 1M makes it well suited for integration with a wide range of agent frameworks.

Text1.1M context$0.3045 / $0.609
MiMo-V2-Omni

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 planning, tool use, and code execution - making it well-suited for complex real-world tasks that span modalities, 256K context window.

Text262K context
MiMo-V2-Pro

MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like OpenClaw. It ranks among the global top tier in the standard PinchBench and ClawBench benchmarks, with perceived performance approaching that of Opus 4.6. MiMo-V2-Pro is designed to serve as the brain of agent systems, orchestrating complex workflows, driving production engineering tasks, and delivering results reliably.

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MiMo-V2-Flash

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a hybrid-thinking toggle and a 256K context window, and excels at reasoning, coding, and agent scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks as the top #1 open-source model globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.

Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs.

Text262K context