MiMo-V2.6-Pro
Xiaomi·
LLMscodingcloud
Overview
Successor to MiMo-V2.5-Pro on the same 1.02T total / 42B active MoE footprint (384 experts, top-8 routing), now omnimodal (text, image, video and audio input). 1M-token context, MIT license. Xiaomi released the weights with a 9B distill, more than 7,000 RL environments and its training code. Weights went up on Hugging Face on 2026-09-21, the official announcement followed on 2026-09-22. API $0.435 / $0.87 per million input/output tokens.
Capabilities and innovations
1.02T total / 42B active (MoE)1M token context windowOmnimodal input (text, image, video, audio)MTP drafter for speculative decodingMIT licenseExpert weights stored as MXFP4Open release of 7,000+ RL environments and training code
Benchmarks
| Benchmark | Score | Source |
|---|---|---|
| Humanity’s Last Exam (no tools) | 49.4% | third party HLE 49.4% no-tools, measured by Artificial Analysis. Artificial Analysis Intelligence Index 46, the highest open-weights score at release (tied with Grok 4.7). |
| Terminal-Bench 2.x | 67.79% | independent Terminal-Bench 2.1 67.79%, measured by Vals AI (accessed 2026-09-23). Xiaomi self-reports 89.9, a gap of 22 points; the independent value is primary. |
| DeepSWE v1.1 | 71.9% | vendor DeepSWE v1.1 71.9, Xiaomi release notes. Vendor self-report over its own model. |
- GPQA Diamond: independent evaluation pending
- SWE-bench Pro: not reported by the vendor — Aggregator figures (SWE-bench Verified 78.6, SWE-bench Pro 62.1) have no primary source and are not used. Xiaomi reports DeepSWE v1.1 instead, recorded in deepswe_v1_1.
- MMLU-Pro: independent evaluation pending
- Terminal-Bench 3.0: not reported by the vendor — Not on the official tbench.ai Terminal-Bench 3.0 leaderboard (checked 2026-09-23); 4.0 is the current release.
API pricing
$0.435 per million input tokens, $0.87 per million output tokens (USD, provider list price, checked 2026-09-23)
Architecture and hardware
- Parameters
- 1020B total, 42B active per token (MoE)
Links
More from Xiaomi
Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.