Xiaomiopen-weight
Released: 2026-09-21Xiaomi: MiMo-V2.6-Flash
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...
Intelligence Index
81.0/ 100
Calibrated multi-domain compositeThroughput Speed
130tok/sec
Output streaming throughputTime To First Token
280ms
Initial chunk server latencyLiveBench Contam-Free
71.3%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning74.5%
Coding & Repo Repair72.9%
Mathematics (AIME)72.1%
Data Analysis & Tables68.9%
Language & Comprehension70.5%
Instruction Following71.3%
Sourced Benchmark Evaluations (61)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| RULER | Nearing Saturation | 74.5% | 84 | 2026-09-12 | independent | Source ↗ |
| Mercury | Deprecated | 67.8% | 10 | 2026-09-12 | independent | Source ↗ |
| MGSM | Nearing Saturation | 71.5% | 65 | 2026-09-12 | independent | Source ↗ |
| MMLU | Saturated | 82.6% | 25 | 2026-09-12 | independent | Source ↗ |
| MMLU-Pro | Nearing Saturation | 74.5% | 75 | 2026-09-12 | independent | Source ↗ |
| MMLU-Redux | Saturated | 79.4% | 25 | 2026-09-12 | independent | Source ↗ |
| MT-Bench | Nearing Saturation | 7.3% | 75 | 2026-09-12 | independent | Source ↗ |
| MultiPL-E | Deprecated | 70.8% | 10 | 2026-09-12 | independent | Source ↗ |
| Needle-in-a-Haystack | Saturated | 96.2% | 44 | 2026-09-12 | independent | Source ↗ |
| OlympiadBench | Active | 61.7% | 80 | 2026-09-12 | independent | Source ↗ |
| Omni-MATH | Deprecated | 55.7% | 10 | 2026-09-12 | independent | Source ↗ |
| OpenAI-MRCR | Active | 68% | 80 | 2026-09-12 | independent | Source ↗ |
| PutnamBench | Active | 39.2% | 90 | 2026-09-12 | independent | Source ↗ |
| QASPER | Nearing Saturation | 67.2% | 65 | 2026-09-12 | independent | Source ↗ |
| QuALITY | Nearing Saturation | 71.3% | 78 | 2026-09-12 | independent | Source ↗ |
| AGIEval | Saturated | 67.6% | 25 | 2026-09-12 | independent | Source ↗ |
| SCROLLS | Nearing Saturation | 64.8% | 65 | 2026-09-12 | independent | Source ↗ |
| SimpleQA | Active | 42.1% | 90 | 2026-09-12 | independent | Source ↗ |
| Soohak | Active | 57.2% | 98 | 2026-09-12 | independent | Source ↗ |
| StructFlowBench | Nearing Saturation | 60.6% | 75 | 2026-09-12 | independent | Source ↗ |
| SuperGLUE | Saturated | 80.2% | 25 | 2026-09-12 | independent | Source ↗ |
| SWE-bench | Deprecated | 52.4% | 10 | 2026-09-12 | independent | Source ↗ |
| SWE-bench Pro | Active | 47.7% | 90 | 2026-09-12 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 60.1% | 25 | 2026-09-12 | independent | Source ↗ |
| SWE-Lancer | Deprecated | 52.4% | 20 | 2026-09-12 | independent | Source ↗ |
| TabMWP | Saturated | 69.3% | 25 | 2026-09-12 | independent | Source ↗ |
| Terminal-Bench | Active | 53.9% | 80 | 2026-09-12 | independent | Source ↗ |
| TruthfulQA | Saturated | 71.3% | 25 | 2026-09-12 | independent | Source ↗ |
| WinoGrande | Saturated | 81.7% | 28 | 2026-09-12 | independent | Source ↗ |
| ZeroSCROLLS | Nearing Saturation | 64.8% | 78 | 2026-09-12 | independent | Source ↗ |
| MBPP | Saturated | 81.6% | 25 | 2026-09-12 | independent | Source ↗ |
| AgentIF | Nearing Saturation | 48.5% | 80 | 2026-09-12 | independent | Source ↗ |
| AIME | Nearing Saturation | 71.5% | 75 | 2026-09-12 | independent | Source ↗ |
| ARC-AGI | Saturated | 73.9% | 25 | 2026-09-12 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 61.3% | 75 | 2026-09-12 | independent | Source ↗ |
| ARC-AGI-3 | Active | 51.1% | 93 | 2026-09-12 | independent | Source ↗ |
| BIG-Bench Hard | Saturated | 77% | 25 | 2026-09-12 | independent | Source ↗ |
| CodeContests | Deprecated | 50.1% | 10 | 2026-09-12 | independent | Source ↗ |
| CodeXGLUE | Deprecated | 72.4% | 23 | 2026-09-12 | independent | Source ↗ |
| CommonsenseQA | Saturated | 82.5% | 28 | 2026-09-12 | independent | Source ↗ |
| ComplexBench | Nearing Saturation | 58.5% | 80 | 2026-09-12 | independent | Source ↗ |
| CyberSecEval | Deprecated | 69.3% | 10 | 2026-09-12 | independent | Source ↗ |
| FireBench | Active | 59.9% | 95 | 2026-09-12 | independent | Source ↗ |
| FrontierCode | Active | 44.7% | 98 | 2026-09-12 | independent | Source ↗ |
| FrontierMath | Active | 21.1% | 98 | 2026-09-12 | independent | Source ↗ |
| GLUE | Saturated | 84.9% | 28 | 2026-09-12 | independent | Source ↗ |
| GPQA | Nearing Saturation | 71.3% | 78 | 2026-09-12 | independent | Source ↗ |
| GSM-Hard | Deprecated | 72.3% | 10 | 2026-09-12 | independent | Source ↗ |
| GSM8K | Saturated | 81.3% | 25 | 2026-09-12 | independent | Source ↗ |
| HumanEval | Saturated | 87.8% | 25 | 2026-09-12 | independent | Source ↗ |
| HumanEval+ | Saturated | 83.2% | 25 | 2026-09-12 | independent | Source ↗ |
| Humanity's Last Exam | Active | 34.6% | 93 | 2026-09-12 | independent | Source ↗ |
| IFEval | Deprecated | 69.9% | 25 | 2026-09-12 | independent | Source ↗ |
| InfiniteBench | Nearing Saturation | 68.9% | 65 | 2026-09-12 | independent | Source ↗ |
| LiveCodeBench | Saturated | 63.1% | 39 | 2026-09-12 | independent | Source ↗ |
| LongBench | Nearing Saturation | 69.7% | 65 | 2026-09-12 | independent | Source ↗ |
| LongBench-Pro | Active | 66.4% | 80 | 2026-09-12 | independent | Source ↗ |
| MATH | Saturated | 73.8% | 25 | 2026-09-12 | independent | Source ↗ |
| MathArena | Active | 60.2% | 99 | 2026-09-12 | independent | Source ↗ |
| MBPP+ | Nearing Saturation | 78.5% | 65 | 2026-09-12 | independent | Source ↗ |
| LiveBench (Continuous) | Active | 71.3% | 94 | 2025-02-01 | independent | Source ↗ |
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run xiaomi-mimo-v2-6-flash
# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "xiaomi-mimo-v2-6-flash",
"messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
}'Evaluation & Sourcing Notes
Scores listed for Xiaomi: MiMo-V2.6-Flash represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.
All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.