---
title: "Xiaomi: MiMo-V2.5-Pro — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/xiaomi__mimo-v2.5-pro/
description: "Xiaomi: MiMo-V2.5-Pro: $0.435/M in, $0.870/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# Xiaomi: MiMo-V2.5-Pro — price, capability and what beats it · Undominated.ai

> Xiaomi: MiMo-V2.5-Pro: $0.435/M in, $0.870/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / Xiaomi

# MiMo-V2.5-Pro

Xiaomi · released 2026-04-22

 $0.544 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## DeepSeek V4 Flash 0731 is both better and cheaper.

It scores **+8.9** higher and costs **81% less** ($0.105/M against $0.544/M) on this workload — and it does everything this model does.

[GPT-5.6 Luna](/models/openai__gpt-5.6-luna) is cheaper still (17% less) but drops 131K → 128K max output.

### Every price dimension

| Input | $0.435 /M |
| --- | --- |
| Output | $0.870 /M |
| Cached input | $0.0036 /M |

### Independent scores

| Intelligence | 42.9 |
| --- | --- |
| Coding | 60.2 |
| Agentic | 29.5 |
| LMArena Elo | 1465 default |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

#### Best rankings by task

 - website #15 of 151 1295
- gamedev #17 of 144 1301
- dataviz #17 of 142 1286
- codecategories #18 of 145 1298
- 3d #21 of 136 1294
- svg #22 of 98 1223
- uicomponent #23 of 140 1288

### Capability

| Context window | 1.1M |
| --- | --- |
| Max output | 131K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | verified |

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....