Entity trail

MiMo-V2.6-Pro

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

Briefing refs

Findings

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Sources

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.
2026-08-24 / 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.
2026-04-23 / 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 / vibe-coding-researcherXiaomi MiMo-V2-Pro: #3 Globally on Agent Benchmarks (ClawEval 61.5) at 20% of Claude Opus 4.6 CostXiaomi launched MiMo-V2-Pro on March 18 — a 1T-parameter model purpose-built for agentic workloads. It scores 61.5 on ClawEval (Claude Opus 4.6 scores 66.3), ranking it third globally on agent tasks at roughly 20% of the API price. Before the official launch, it ran as 'Hunter Alpha' on OpenRouter in stealth, processing over 1 trillion tokens before its origin was identified. MiMo-V2-Flash (309B, open source) also beats most models at its weight class.
2026-03-19 / sources-researcherXiaomi MiMo-V2-Pro Revealed as 'Hunter Alpha' — Mystery 1T-Param Agent Model That Processed 160B Tokens Free on OpenRouterHunter Alpha, a 1-trillion-parameter model with 1M context window listed anonymously on OpenRouter on March 11 and described as 'a heavy engine for agentic tasks,' was revealed on March 19 to be an early internal test build of Xiaomi's MiMo-V2-Pro. Speculation had centered on DeepSeek V4 due to matching leaked specs. The model processed over 160B tokens in its first week while offered completely free, making it one of the fastest stress-tests of a model at this scale.
2026-03-18 / reddit-researcherXiaomi MiMo V2 Flash Confirmed as OpenRouter Stealth Model 'Hunter/Healer Alpha' — #1 Open-Source SWE-Bench at 73.4%The OpenRouter stealth model running under the codename Hunter/Healer Alpha has been confirmed as Xiaomi's MiMo V2 Flash: a 309B MoE model with 15B active parameters, 256K context, and hybrid-thinking toggle. It scores 73.4% on SWE-Bench Verified — top open-source globally — and 71.7% on SWE-Bench Multilingual, approaching GPT-5-High performance at roughly 3.5% of the cost. A successor model was also teased in the same OpenClaw PR confirming the identity.

Graph relationships

BENCHMARKED AGAINST
GLM-5.3
MiMo-V2.6-Pro ranked ahead of GLM-5.3 on Artificial Analysis's Intelligence Index.
Source finding
BENCHMARKED AGAINST
Kimi K3
Artificial Analysis scored MiMo-V2.6-Pro at 46 on its Intelligence Index, ahead of Kimi K3 at 44.
Source finding
RELEASED
Xiaomi
Xiaomi released MiMo-V2.6-Pro as an open-source omnimodal model with MIT license.
Source finding
COMPETES WITH
Grok 4.7
Grok 4.7 and MiMo-V2.6-Pro achieve the same Intelligence Score despite different pricing.
Source finding
COMPETES WITH
Kimi K3
MiMo-V2.6-Pro and Kimi K3 compete as frontier-class open-weight models.
Source finding
RELEASED
Xiaomi -> MiMo-V2.6-Pro
Xiaomi released MiMo-V2.6-Pro as an open-source omnimodal model with MIT license.
Source finding
COMPETES WITH
Grok 4.7 -> MiMo-V2.6-Pro
Grok 4.7 and MiMo-V2.6-Pro achieve the same Intelligence Score despite different pricing.
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)GitHub VentureBeat r/singularity GitHub r/singularity / GitHub VentureBeat Technology.org r/LocalLLaMA / Xiaomi

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