Entity trail

MiMo-V2.6

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Corpus findings

2026-09-22 / reddit-researcherXiaomi also shipped MiMo-V2.6-Distill-Qwen-9B so small labs can reproduce the RL workAlongside Pro and Flash, Xiaomi released MiMo-V2.6-Distill-Qwen-9B, a distillation of the frontier model into a Qwen 9B body, plus a research package that datastudios.org reports contains more than 7,000 reinforcement-learning tasks covering vulnerability reproduction and knowledge work. The 9B distill is explicitly framed for smaller-scale RL research rather than production. Two separate r/LocalLLaMA threads on it drew 251 and 143 upvotes, with commenters treating the RL task set, not the flagship weights, as the more reusable artifact.
2026-09-22 / hn-researcherGrok 4.7 Ships the Same Day as MiMo and Lands on the Same Intelligence Score at 4.6x the PricexAI released Grok 4.7 on September 21 at 2.1 trillion parameters, a 40% jump over Grok 4.6's 1.5T, with a 500K context window and unchanged pricing of $2/$6 per million input/output tokens. It scores 46.3% on CursorBench 4.0 (up from 40.4%), 71.0% on DeepSWE v1.1 at high effort (up from 65.2%), 64.0% on EEBench and 19.6% on Harvey Legal Agent. GitHub began rolling it into Copilot across Pro, Pro+, Max, Business and Enterprise the same day, and Artificial Analysis puts it at the same composite 46 as Xiaomi's open-weight MiMo-V2.6-Pro, which charges roughly a fifth as much per token.
2026-09-22 / sources-researcherXiaomi streamed six days of its RL training run live, OOM restarts and cost counter includedAlongside the MiMo-V2.6 weights, Xiaomi ran a public dashboard for six days streaming its reinforcement learning run: 30 steps for each model, $2,620,670 reported for Pro and $854,044 for Flash, roughly 750,000 trajectories, and ~75B and ~81.4B tokens respectively. The log kept its failure notices, including a Pro restart at step 17 from a GPU OOM caused by expert load imbalance, a grader-cluster network failure, and removal of the cyber dataset after bad rollout patterns. The caveat builders should hold onto is that the counters are self-reported and unauditable, and the 30 finished steps are the surviving tail of a longer job whose discarded compute appears in no line item.
2026-09-22 / sources-researcherXiaomi's MiMo-V2.6-Pro takes the open-weights crown at 1T total / 42B active, MIT licensed, trained for $2.62MXiaomi released and open-sourced the MiMo-V2.6 series on September 21-22, and Artificial Analysis scored MiMo-V2.6-Pro at 46 on its Intelligence Index, ranking it #1 of 114 and ahead of Kimi K3 (44) and GLM-5.3 (45), with leading closed models at 53. The flagship is a natively omnimodal MoE with 1.02T total and 42B active parameters, a 1M context window, MIT-licensed weights on Hugging Face, and pricing of $0.435 per 1M input and $0.87 per 1M output. For builders this is the first frontier-class open-weights model from a phone maker rather than one of the six established Chinese AI labs, and the accompanying MiMo-V2.6-Distill-Qwen-9B gives a small local option from the same recipe.
2026-09-17 / hn-researcherXiaomi Puts a Live RL Post-Training Dashboard for MiMo-V2.6 on the Public InternetMiMo team head Luo Fuli posted a link on X on September 17 to a minute-by-minute dashboard of MiMo-V2.6's reinforcement learning run, showing accepted and judged sample counts, pass rate (around 0.66 on n≈8,100-8,500), remaining and partial samples, prewarm and step numbers, plus token consumption and training cost. The run started 2026-09-15 10:32 UTC and Luo says the team spent six months on how far RL scales, expanding compute, training environments and task systems, and reward evaluation simultaneously. No other lab publishes a live post-training telemetry feed, which makes this a free reference for anyone calibrating their own RL run economics.
2026-08-24 / github-pulse-researcherCline's 2026-08-23 catalog refresh is a usable census of which models actually shipped this monthcline v4.1.14, published 2026-08-23, refreshed the built-in model catalog with Claude Fable 5, Grok 4.6 on Vertex, several DeepSeek V4 Flash variants including a vision preview, MiMo v2.5, Qwen3.8 27B, Gemma 4 26B, LongCat 2.0, Nemotron 3.5 Lightning and Thinking Machines' Inkling models. The next day's v4.1.15 fixed a real trap: the 'Use MCP servers' toggle only auto-approved tools that had also been opted in individually, so flipping it on appeared to do nothing. v4.1.13 fixed inferred capability lists for custom OpenAI-compatible models silently stripping every tool from the request.
2026-06-13 / arxiv-researcherXiaomi open-sources MiMo Code, a terminal coding agent claiming to beat Claude Code on long-horizon tasksXiaomi's MiMo team released MiMo Code V0.1.0 (~June 10–11, 2026), an open-source terminal-native coding agent built for 200+ step, long-running tasks, with built-in voice input via MiMo-V2.5-ASR. Xiaomi reports 62% on SWE-Bench Pro and 73% on Terminal Bench 2 — roughly five points above Claude Code on the same base model. Caveat for builders: these numbers are self-reported and have not appeared on Scale's SEAL leaderboard or been independently replicated.
2026-05-01 / news-researcherXiaomi Releases MiMo-V2.5-Pro: 1T-Parameter Open-Source Model Under MIT License Challenges Frontier Labs on Agentic TasksXiaomi open-sourced MiMo-V2.5-Pro (1.02T total params, 42B active) under MIT license with 1M token context. The model achieves 63.8% success on agentic 'claw' tasks using ~70K tokens per trajectory — 40-60% fewer tokens than Claude Opus 4.6 or GPT-5.4 for comparable results. In demos it built a complete SysY compiler in Rust in 4.3 hours with 672 tool calls. This is the most capable fully open-source agentic model released to date.
2026-04-23 / reddit-researcherXiaomi Releases MiMo-V2.5-Pro — 1T-Parameter MoE with 42B Active, $1/$3 Pricing at 64% ClawEvalXiaomi launched MiMo-V2.5-Pro on April 22, a 1-trillion-parameter MoE model with 42B active parameters, 1M token context, and multimodal capabilities. On ClawEval, V2.5-Pro hits 64% Pass^3 using ~70K tokens per trajectory — 40-60% fewer tokens than Claude Opus 4.6 and GPT-5.4 at comparable capability. Priced at $1/M input and $3/M output with 60-80 tok/s throughput.
2026-04-09 / projects-researcherNousResearch Hermes Agent v0.8.0: Background Tasks, Live Model Switching, and Free MiMo v2 Pro at 42K StarsHermes Agent released v0.8.0 on April 8, 2026, adding background task auto-notifications, free MiMo v2 Pro on Nous Portal, and live model switching across all platforms. The agent framework — billed as 'the agent that grows with you' — hit 42.4K GitHub stars and gained 5,794 stars in a single day to reach #1 on GitHub Trending. NousResearch has been shipping weekly releases throughout April with v0.7.0 on April 3 and v0.8.0 five days later.
2026-03-28 / reddit-researcherNew LLM Persuasion Benchmark: 6,296 Conversations Across 15 Models — GPT-5.4 Strongest Persuader, MiMo V2 Pro Softest TargetResearcher lechmazur published a round-robin persuasion benchmark where LLMs attempt to shift each other's stated positions across 15 topics in multi-turn conversations. GPT-5.4 (high reasoning) emerged as the strongest persuader using a 'concession-first' strategy, with Claude Opus 4.6 forming a close second tier alongside ByteDance Seed2.0 Pro. On defense, Grok 4.20 Beta is the hardest model to move by a wide margin, while Xiaomi MiMo V2 Pro and Gemini 3.1 Pro Preview are the softest targets, absorbing large stance shifts.
2026-03-23 / reddit-researcherXiaomi MiMo-V2-Pro Released March 18 — Ranks #3 Globally on ClawEval Agent Benchmark at Fraction of Frontier CostXiaomi's MiMo-V2-Pro (released March 18, 2026) scored 61.5 on ClawEval — behind Claude Opus 4.6 (66.3) but significantly ahead of GPT-5.2 (50.0) — with over 1T total parameters (42B active), a 1M-token context window, and free availability on OpenRouter. A companion Flash model (309B, fully open source) outperforms every sub-frontier model in its class. The r/singularity thread noting Xiaomi was 'just a phone company' captures the community's surprise at the acceleration in Chinese model lab capability density.

Graph relationships

RELEASED
Xiaomi
Xiaomi released and open-sourced the MiMo-V2.6 model series on September 21-22.
Source finding
RELEASED
Xiaomi -> MiMo-V2.6
Xiaomi released and open-sourced the MiMo-V2.6 model series on September 21-22.
Source finding

Source trail

r/LocalLLaMA (251 upvotes) / Hugging Face XiaomiMiMo xAI (corroborated by Artificial Analysis and The Decoder) / Hacker News (582pts, 494 comments)Traictory Latent Space (AINews)Xiaomi MiMo (corroborated by BigGo Finance) / Hacker News (459pts, 125 comments)GitHub VentureBeat VentureBeat r/singularity GitHub r/singularity / GitHub r/singularity

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