Xiaomi releases MiMo-V2-Pro with 1M context window and 1T+ parameters
Xiaomi released MiMo-V2-Pro on March 18, 2026, a flagship foundation model with over 1 trillion total parameters and a 1,048,576 token context window. The model is priced at $1 per million input tokens and $3 per million output tokens, positioning it as an agent-focused system comparable to top-tier models.
MiMo-V2-Pro — Quick Specs
Xiaomi Releases MiMo-V2-Pro With 1M Context Window and 1T+ Parameters
Xiaomi released MiMo-V2-Pro on March 18, 2026, a foundation model featuring over 1 trillion total parameters and a 1,048,576 token context window. The model is priced at $1 per million input tokens and $3 per million output tokens.
Technical Specifications
MiMo-V2-Pro is positioned as Xiaomi's flagship foundation model, designed primarily for agentic scenarios and complex workflow orchestration. The model features:
- Context window: 1,048,576 tokens (1M)
- Parameter count: Over 1 trillion total parameters
- Input pricing: $1 per million tokens
- Output pricing: $3 per million tokens
- Release date: March 18, 2026
Benchmarks and Performance Claims
According to Xiaomi, MiMo-V2-Pro "ranks among the global top tier in the standard PinchBench and ClawBench benchmarks, with perceived performance approaching that of Opus 4.6." The company does not publish specific benchmark scores, instead relying on comparative claims against existing models.
OpenRouter's usage data shows the model handling 319 billion prompt tokens, 1.03 billion completion tokens, and 476 million reasoning tokens in recent tracking periods.
Agentic Focus and Integration
MiMo-V2-Pro is explicitly optimized for agent frameworks, with Xiaomi citing OpenClaw compatibility as a key feature. The company describes the model as "designed to serve as the brain of agent systems, orchestrating complex workflows, driving production engineering tasks, and delivering results reliably."
The model supports reasoning-enabled inference through OpenRouter, allowing access to step-by-step thinking processes via the reasoning parameter in API requests.
Availability and Distribution
MiMo-V2-Pro is accessible through OpenRouter, which handles provider routing and fallback mechanisms to maximize uptime. OpenRouter normalizes API requests and responses across multiple provider implementations.
What This Means
Xiaomi enters the large foundation model market with competitive context window sizing (matching or exceeding most current offerings) and aggressive pricing on the output tier ($3/M output tokens). The focus on agent-optimized design suggests Xiaomi is targeting enterprise automation workflows rather than general-purpose chat applications. The 1M context window places MiMo-V2-Pro in the extended-context category used by models handling document analysis and multi-turn agent reasoning, though specific benchmark data remains unavailable for direct performance comparison. Xiaomi's entry signals continued fragmentation in the foundation model market, with regional players (Chinese tech companies like Xiaomi, Alibaba/Qwen, Baidu, Tencent) establishing independent model lines alongside US-based competitors.
Related Articles
Google Releases Gemini 3.7 Flash, Cuts Price in Half Versus 3.6 Flash
Google has released Gemini 3.7 Flash, just three weeks after Gemini 3.6 Flash, claiming substantial gains in coding, web development, and document reasoning. The model launches at an introductory price of $0.75 per 1M input tokens and $3.75 per 1M output tokens — half the cost of its predecessor.
NVIDIA Releases Nemotron 3.5 Lightning: 30B MoE Model with 1M Token Context and 3B Active Parameters
NVIDIA released the full-precision BF16 reference weights for Nemotron 3.5 Lightning, a 30B-parameter Mixture-of-Experts model with only 3B active parameters and support for up to 1 million tokens of context. The model uses a hybrid Mamba-2, MoE, and Attention architecture and is licensed under OpenMDW-1.1 for commercial use.
xAI's Grok 4.6 Matches Claude and GPT-5.6 on Benchmarks, Costs 60% Less
xAI's Grok 4.6 ties OpenAI's GPT-5.6 Sol on the Artificial Analysis Intelligence Index with a score of 61, trailing only Anthropic's Claude Opus 5 and Claude Fable 5. Pricing remains at $2/$6 per million tokens, undercutting both competitors by more than 60 percent.
Qwen Releases Qwen3.8 2.4T A95B, a 2.4-Trillion-Parameter Open-Weight MoE Model
Qwen has released Qwen3.8 2.4T A95B, an open-weight sparse mixture-of-experts model with 2.4 trillion total parameters and 95 billion active parameters per forward pass. The model is the open-weight variant of Qwen3.8 Max, targeting coding, research, complex reasoning, and agentic workflows with a 262K token context window.
Comments
Loading...