MiMo-V2.6-Pro
MiMo-V2.6-Pro is a Xiaomi open-weights reasoning model, released 21 Sept 2026. Its best configuration ranks #54 of 775 on the BenchLeader Index at 64.2 ±4.2, in the upper half. The ± is the point: 134 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in reasoning (79) and lowest in agents & tools (59). At $0.548 per million tokens blended it is mid-priced. Output speed of 50 tokens per second puts it slower than most, with a first answer in 43.1 s. Last measured 19 Oct 2026.
- Blended price
- $0.548/M
- $0.440 in · $0.870 out
- Output speed
- 50 tok/s
- measured by Artificial Analysis
- First answer
- 43 s
- first token 2.97 s
- Context
- 1.0M
- Full answer
- 53 s
- median, reasoning included
- Cost per run
- $0.133
- one full Intelligence Index run
- Released
- 21 Sept 2026
- Overall index64
- Reasoning79
- Coding62
- Agents & tools59
- Maths66
- Knowledge65
- Human preference67
- Multimodal60
- Long context68
- Composite70
Versions
Xiaomi has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| MiMo-V2.6-Prothis page | 21 Sept 2026 | 64.2 | #54 |
| MiMo-V2.5-Prothinking | 23 Apr 2026 | 57.0 | #190 |
How its index has moved
23 Sept 2026 to 19 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Metadata
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA Openness Indexnot in index | 52.8#26 | Artificial Analysis |
Reasoning
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Hard Prompts | 1504#25 | Arena (LMArena) | |
| LiveBench 2.0 Reasoningnot in index | 79.6%#40 | LiveBench | |
| Humanity's Last Exam (AA)not in index | 49.4%#28 | Artificial Analysis | |
| CritPt | 26.6%#37 | Artificial Analysis | |
| MysteryMechanismnot in index | 15.3%#25 | Vals AI |
Coding
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| SciCode | 60.9%#7 | SciCode | |
| Arena Coding | 1538#13 | Arena (LMArena) | |
| Arena WebDev | 1625#20 | Arena (LMArena) | |
| LiveBench 2.0 Codingnot in index | 81.5%#29 | LiveBench | |
| SciCode (AA)not in index | 60.9%#8 | Artificial Analysis | |
| IOI | 39.3%#35 | Vals AI | |
| Code Migrationnot in index | 43.0%#26 | Vals AI | |
| ProgramBenchnot in index | 0.5%#18 | Vals AI | |
| Vibe Code Bench v1.1not in index | 85.2%#15 | Vals AI | |
| ALE-Benchnot in index | 1158.1#48 | Epoch AI Benchmarking Hub | |
| Terminal-Bench 4.0 (AA)not in index | 34.9%#34 | Artificial Analysis | |
| FrontierCode 1.1 (AA)not in index | 45.4%#11 | Artificial Analysis |
Agents & tools
Maths
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| ProofBench | 70.0%#16 | Vals AI | |
| Arena Maths | 1488#29 | Arena (LMArena) |
Knowledge
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| LiveBench 2.0 Data Analysisnot in index | 72.3%#32 | LiveBench | |
| LiveBench Researchnot in index | 76.7%#21 | LiveBench | |
| AA-Omniscience | 8.4#97 | Artificial Analysis | |
| Excel Modeling Benchmarknot in index | 62.9%#29 | Vals AI | |
| MedCodenot in index | 45.0%#39 | Vals AI | |
| MedScribenot in index | 88.3%#13 | Vals AI | |
| Public Benefits Benchnot in index | 68.9%#8 | Vals AI | |
| AA-Omniscience: accuracynot in index | 34.9%#152 | Artificial Analysis | |
| AA-Omniscience: non-hallucinationnot in index | 59.4%#81 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Instruction Followingnot in index | 1471#35 | Arena (LMArena) |
Human preference
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Text | 1479#27 | Arena (LMArena) | |
| Arena Creative Writingnot in index | 1445#52 | Arena (LMArena) | |
| Arena Multi-turnnot in index | 1455#80 | Arena (LMArena) | |
| Arena Longer Queriesnot in index | 1494#22 | Arena (LMArena) |
Multimodal
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Vision | 1263#53 | Arena (LMArena) | |
| LiveBench Designnot in index | 78.5%#18 | LiveBench | |
| SAGEnot in index | 45.0%#41 | Vals AI | |
| AA-3Dnot in index | 980#13 | Artificial Analysis |
Long context
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-LCR | 86.3%#3 | Artificial Analysis | |
| MLCRnot in index | 18.3%#33 | Artificial Analysis |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| LiveBench 2.0 | 74.9%#18 | LiveBench | |
| AA Intelligence Index v4.3.2 | 46.3#33 | Artificial Analysis | |
| Vals Indexnot in index | 57.8#12 | Vals AI | |
| AA Cyber Indexnot in index | 56.1#2 | Artificial Analysis |
Where it wins
Benchmarks where this configuration ranks in the top five of every configuration measured.
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| DeepInfra | 37 tok/s | 1.76 s | $0.387 | $0.783 | 1.0M | fp8 |
| NovitaAI | 35 tok/s | 3.46 s | $0.435 | $0.870 | 1.0M | fp8 |
| GMICloud | 29 tok/s | 4.42 s | $0.435 | $0.870 | 1.1M | bf16 |
| Xiaomi | 24 tok/s | 2.97 s | $0.435 | $0.870 | 1.0M | fp8 |
Price history
Listed price per 1M tokens over time, as recorded by OpenRouter for the provider with the longest history.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.004 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0004 | $0.0003 | 49.1 s |
| Summarize a 30-page report | 12,000 / 600 | $0.0058 | $0.0019 | 55.1 s |
| Code edit | 6,000 / 1,500 | $0.0039 | $0.0020 | 1.2 min |
| Agentic coding session | 60,000 / 4,000 | $0.030 | $0.010 | 2.0 min |
| Structured extraction | 2,000 / 200 | $0.0011 | $0.0004 | 47.1 s |
Compare MiMo-V2.6-Pro with…
- MiMo-V2.6-Pro vs Claude Opus 5.5
- MiMo-V2.6-Pro vs Gemini 4 Argon
- MiMo-V2.6-Pro vs Muse Wonder Full
- MiMo-V2.6-Pro vs GPT-6 Astra
- MiMo-V2.6-Pro vs Claude Fable 5.1
- MiMo-V2.6-Pro vs GPT-6.1 Sol
- MiMo-V2.6-Pro vs Claude Sonnet 5.5
- MiMo-V2.6-Pro vs Claude Fable 5
- MiMo-V2.6-Pro vs Claude Opus 5
- MiMo-V2.6-Pro vs GPT-5.6 Sol
- MiMo-V2.6-Pro vs Muse Wonder
- MiMo-V2.6-Pro vs Muse Spark 1.3
- MiMo-V2.6-Pro vs GPT-6 Sol
- MiMo-V2.6-Pro vs GPT-5.5
- MiMo-V2.6-Pro vs GPT-5.5 Pro
- MiMo-V2.6-Pro vs Kimi K3
- MiMo-V2.6-Pro vs GPT-5.4
- MiMo-V2.6-Pro vs Gemini 3.8 Flash
- MiMo-V2.6-Pro vs Muse Spark
- MiMo-V2.6-Pro vs GPT-5.6 Terra
- MiMo-V2.6-Pro vs Grok 4.6
- MiMo-V2.6-Pro vs Grok 4.7
- MiMo-V2.6-Pro vs GPT-5.3-Codex
- MiMo-V2.6-Pro vs GLM 5.3
- MiMo-V2.6-Pro vs Gemini 3.7 Flash
- MiMo-V2.6-Pro vs GPT-5.4 Pro
- MiMo-V2.6-Pro vs Claude Opus 4.7
- MiMo-V2.6-Pro vs Claude Opus 4.8
- MiMo-V2.6-Pro vs Qwen3.8 Max
- MiMo-V2.6-Pro vs Gemini 3.5 Flash
- MiMo-V2.6-Pro vs Muse Spark 1.2
- MiMo-V2.6-Pro vs Qwen3.8 2.4T A95B
- MiMo-V2.6-Pro vs DeepSeek V4.1 Flash 1017
- MiMo-V2.6-Pro vs Muse Spark 1.1
- MiMo-V2.6-Pro vs Claude Opus 4.6
- MiMo-V2.6-Pro vs GLM 5.3 Flash
- MiMo-V2.6-Pro vs DeepSeek V4 Pro
- MiMo-V2.6-Pro vs GLM 5.2
- MiMo-V2.6-Pro vs Qwen3.6 Max
See also
Data as of 21 Oct 2026. Compare with another model.
Cite as: BenchLeader, “MiMo-V2.6-Pro: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/mimo-v2-6-pro, data as of 21 Oct 2026.