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Model details

MiMo-V2.5-Pro

MiMo-V2.5-Pro sits at the top of Xiaomi's MiMo family as a text-focused reasoning model, released alongside a smaller omnimodal sibling to give developers a choice between general-purpose understanding and heavier agentic workloads. According to a third-party guide, it is built as a one-trillion-parameter Mixture-of-Experts design, pairing frontier-tier benchmark results with a price point that the same source describes as roughly an eighth of Claude Opus 4.6's per-token output cost. The split between a broad V2.5 line and a reasoning-heavy V2.5-Pro reflects Xiaomi's strategy of consolidating its previous V2-Pro reasoning and V2-Omni multimodal tracks into a unified generation, with the Pro variant aimed at harder reasoning and sustained coding tasks rather than cross-modal perception.

In practical terms, MiMo-V2.5-Pro is positioned for agentic coding, long-context document pipelines, and other high-volume workloads where cost-per-token strongly shapes feasibility. Xiaomi's own documentation underlines this focus by promoting an extended closed beta of MiMo-V2.5-Pro-UltraSpeed, a variant advertised at up to 1000 tokens per second and framed around maximizing coding-agent productivity, alongside a MiMo Code launch that bundles persistent memory, an original Compose mode, and a Dream self-evolution loop. The same documentation also confirms the deprecation of the older V2 series, pushing users toward the V2.5 line, which makes V2.5-Pro the current flagship target for teams standardizing on the MiMo platform.

ClinePasscline-pass/mimo-v2.5-promimo

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Provider
ClinePass
Model key
cline-pass/mimo-v2.5-pro
Release date
Apr 22, 2026
Last updated
Apr 22, 2026
Knowledge cutoff
2024-12
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.74
Output token cost
$3.48

Limits

Output tokens
131,072 tokens
Context window
1,048,576 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about MiMo-V2.5-Pro

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Coverage

Xiaomi's MiMo team released MiMo-V2.5-Pro-UltraSpeed, a high-speed serving mode for the existing MiMo-V2.5-Pro trillion-parameter model, developed in collaboration with the TileRT systems group. According to the report, the model decodes faster than 1000 tokens per second on commodity hardware rather than custom silico The speedup comes from three coordinated techniques described as extreme model-system codesign. The first layer is FP4 quantization applied at trillion-parameter scale, targeting efficiency without changing model capability. UltraSpeed changes how fast the model produces output tokens rather than altering the underlyin

ClinePass

Coverage

The official XiaomiMiMo Hugging Face README describes MiMo-V2.5-Pro as an open-source Mixture-of-Experts language model with 1.02T total parameters and 42B active parameters, designed for demanding agentic, complex software engineering, and long-horizon tasks. The model sustains complex trajectories spanning thousands The architecture uses a hybrid attention design that interleaves Sliding Window Attention (SWA) and Global Attention (GA) at a 6:1 ratio with a 128 sliding window, reducing KV-cache storage by nearly 7x while maintaining long-context performance via learnable attention sink bias. Three lightweight Multi-Token Predictio

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Coverage

Xiaomi MiMo's official model page presents MiMo-V2.5-Pro as a trillion-parameter flagship agent foundation model, supporting text input and output with deep thinking, tool calls, streaming, web search, structured output, and context caching capabilities. The model offers a 1M token context length with 128K max output a The page describes MiMo-V2.5-Pro as engineered for long-horizon code development, citing a compiler project that took PKU graduate students weeks completed in 4.3 hours with 672 tool calls and 233 passing test cases, plus an 11.5-hour autonomous build of an 8,192-line full-stack video editor. A chip EDA demonstration c

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