BenchLeader

MiMo-V2.6-Flash

MiMo-V2.6-Flash is a Xiaomi open-weights reasoning model, released 21 Sept 2026. Its best configuration ranks #124 of 756 on the BenchLeader Index at 59.3 ±3.8, in the upper half. The ± is the point: 203 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 composite (73) and lowest in agents & tools (54). At $0.175 per million tokens blended it is among the cheapest fifth of ranked models. Output speed of 51 tokens per second puts it slower than most, with a first answer in 42.7 s. Last measured 2 Oct 2026.

Blended price
$0.175/M
$0.140 in · $0.280 out
Output speed
51 tok/s
measured by Artificial Analysis
First answer
43 s
first token 4.13 s
Context
1.0M
Full answer
52 s
median, reasoning included
Cost per run
$0.062
one full Intelligence Index run
Released
21 Sept 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index59
  2. Reasoning63
  3. Coding56
  4. Agents & tools54
  5. Maths64
  6. Knowledge56
  7. Human preference64
  8. Multimodal58
  9. Long context62
  10. Composite73

How its index has moved

26 Sept 2026 to 5 Oct 2026
556065

The 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

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.

Reasoning

Benchmarknot statedSourceTrend
LMArena Hard Prompts1484#57LMArena
Humanity's Last Exam (AA)not in index35.1%#108Artificial Analysis
CritPt12.0%#95Artificial Analysis
MysteryMechanismnot in index21.6%#16Vals AI

Coding

Benchmarknot statedSourceTrend
SciCode51.3%#88SciCode
LMArena Coding1521#33LMArena
SciCode (AA)not in index51.3%#88Artificial Analysis
IOI47.7%#24Vals AI
Code Migrationnot in index40.9%#25Vals AI
ProgramBenchnot in index0.5%#13Vals AI
Vibe Code Bench v1.1not in index79.0%#22Vals AI
Terminal-Bench 4.0 (AA)not in index22.7%#49Artificial Analysis

Agents & tools

Benchmarknot statedSourceTrend
LMArena Agent-0.6#32LMArena
Terminal-Bench 2.1 (Vals)76.4%#16Vals AI
GDPval (AA)not in index55.0%#24Artificial Analysis
CyberBenchnot in index75.4%#5Vals AI
Finance Agent v2not in index56.3%#17Vals AI
Harvey's Legal Agent Benchmarknot in index11.3%#9Vals AI
Legal Research Benchnot in index38.0%#30Vals AI
SREBenchnot in index4.2%#10Vals AI
Tax Agent Benchnot in index59.9%#32Vals AI
Terminal-Bench 4.0 (Vals)not in index24.2%#16Vals AI
Terminal-Bench Sciencenot in index4.3%#17Vals AI

Maths

Benchmarknot statedSourceTrend
ProofBench63.0%#17Vals AI
LMArena Maths1472#45LMArena

Knowledge

Benchmarknot statedSourceTrend
AA-Omniscience-12.7#195Artificial Analysis
BioMysteryBenchnot in index69.3%#11Vals AI
Excel Modeling Benchmarknot in index65.5%#21Vals AI
MedCodenot in index41.1%#54Vals AI
MedScribenot in index85.3%#27Vals AI
Public Benefits Benchnot in index67.6%#11Vals AI
AA-Omniscience: accuracynot in index27.0%#190Artificial Analysis
AA-Omniscience: non-hallucinationnot in index45.6%#129Artificial Analysis

Instruction following

Benchmarknot statedSourceTrend
LMArena Instruction Followingnot in index1453#58LMArena

Human preference

Benchmarknot statedSourceTrend
LMArena Text1452#75LMArena
LMArena Creative Writingnot in index1385#124LMArena
LMArena Multi-turnnot in index1457#79LMArena
LMArena Longer Queriesnot in index1461#73LMArena

Multimodal

Benchmarknot statedSourceTrend
LMArena Vision1259#54LMArena
MMMU-Pro73.1%#121Artificial Analysis
SAGEnot in index43.5%#48Vals AI

Long context

Benchmarknot statedSourceTrend
AA-LCR74.3%#148Artificial Analysis

Composite

Benchmarknot statedSourceTrend
AA Intelligence Index37.9#71Artificial Analysis
Vals Indexnot in index53.2#17Vals AI

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.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
io.net36 tok/s2.13 s$0.139$0.2701.0Mfp8
GMICloud33 tok/s3.06 s$0.140$0.2801.1Mbf16
Xiaomi32 tok/s5.69 s$0.140$0.2801.0Mfp8
NovitaAI27 tok/s5.55 s$0.140$0.2801.0Mfp8
Venice23 tok/s2.62 s$0.175$0.3501Mfp8
DeepInfra21 tok/s2.28 s$0.140$0.2801.0Mfp8
Darkbloom17 tok/s4.31 s$0.100$0.2801.0Mfp4

Price history

Listed price per 1M tokens over time, as recorded by OpenRouter for the provider with the longest history.

$0.00$0.077$0.154$0.231$0.308Sept 26
input outputnow $0.080 in · $0.280 out

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 $0.003 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0001$0.000148.6 s
Summarise a 30-page report12,000 / 600$0.0018$0.000654.4 s
Code edit6,000 / 1,500$0.0013$0.00061.2 min
Agentic coding session60,000 / 4,000$0.0095$0.00332.0 min
Structured extraction2,000 / 200$0.0003$0.000146.6 s

See also

Data as of 5 Oct 2026. Compare with another model.

Cite as: BenchLeader, “MiMo-V2.6-Flash: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/mimo-v2-6-flash, data as of 5 Oct 2026.