BenchLeader

MiMo-V2.5-Pro

Reasoning effort

MiMo-V2.5-Pro is a Xiaomi open-weights model, released 23 Apr 2026. Its best configuration (thinking reasoning effort) ranks #191 of 785 on the BenchLeader Index at 57.0 ±9.4, in the upper half. The ± is the point: 418 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 instruction following (77) and lowest in reasoning (47). At $0.563 per million tokens blended it is mid-priced. Output speed of 52 tokens per second puts it in the slowest quarter, with a first answer in 39.7 s. It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 22 Apr 2026.stale: no new result in six months

Blended price
$0.563/M
$0.410 in · $1.02 out
Output speed
52 tok/s
measured by Artificial Analysis
First answer
40 s
first token 1.58 s
Context
1.0M
Full answer
49 s
median, reasoning included
Cost per run
$0.140
one full Intelligence Index run
Released
23 Apr 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index57
  2. Reasoning47
  3. Agents & tools49
  4. Knowledge63
  5. Instruction following77
  6. Long context65
  7. Composite59

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.

ModelReleasedIndexRank
MiMo-V2.6-Pro21 Sept 202664.0#57
MiMo-V2.5-Prothinkingthis page23 Apr 202657.0#191

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning49.1#40952 tok/s1.21 s$0.0005Agents & tools 65 · Composite 50 · Instruction following 45 · Knowledge 44 · Long context 45 · Reasoning 43
thinkingbest57.0#19152 tok/s40 s$0.0005Agents & tools 49 · Composite 59 · Instruction following 77 · Knowledge 63 · Long context 65 · Reasoning 47
not stated54.9#23936 tok/s1.58 s$0.0013Agents & tools 40 · Coding 57 · Human preference 61 · Knowledge 54 · Maths 58 · Reasoning 66

How its index has moved

8 Sept 2026 to 21 Oct 2026
405469
  • thinking
  • not stated
  • no reasoning

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

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.

Reasoning

Benchmarkno reasoningthinkingnot statedSourceTrend
Arena Hard Promptseffort not stated––1494#44Arena (LMArena)
GPQA Diamond (AA)not in index76.2%#23986.6%#109–Artificial Analysis
Humanity's Last Exam (AA)not in index14.8%#25635.7%#116–Artificial Analysis
GPQA Diamond (Vals)not in indexeffort not stated––82.6%#59Vals AI
CritPt1.1%#2234.0%#168–Artificial Analysis
LMCAnot in indexeffort not stated––29.5%#137Epoch AI Benchmarking Hub
DTBenchnot in indexeffort not stated––84.5%#107Epoch AI Benchmarking Hub

Coding

Benchmarkthinkingnot statedSourceTrend
SciCodeeffort not stated–50.2%#106SciCode
Arena Codingeffort not stated–1521#35Arena (LMArena)
Arena WebDeveffort not stated–1481#65Arena (LMArena)
SciCode (AA)not in index50.6%#103–Artificial Analysis
LiveCodeBencheffort not stated–81.3%#61Vals AI
SWE-bench (Vals)not in indexeffort not stated–74.0%#48Vals AI
Code Migrationnot in indexeffort not stated–21.6%#49Vals AI
Vibe Code Bench v1.1not in indexeffort not stated–34.1%#71Vals AI
ALE-Benchnot in indexeffort not stated–899.8#66Epoch AI Benchmarking Hub
Terminal-Bench 4.0 (AA)not in index0.0%#152–Artificial Analysis
Terminal-Bench 2.1 (AA)not in index65.2%#82–Artificial Analysis

Agents & tools

Benchmarkno reasoningthinkingnot statedSourceTrend
Arena Agenteffort not stated––-8.2#45Arena (LMArena)
Terminal-Bench Hard35.6%#7443.2%#41–Artificial Analysis
τ²-Bench Telecom (AA)not in index72.5%#14994.2%#33–Artificial Analysis
Terminal-Bench 2.1 (Vals)effort not stated––57.3%#43Vals AI
τ³-Banking (AA)–9.9%#144–Artificial Analysis
ITBench SRE (AA)not in index–38.2%#23–Artificial Analysis
Analyst Agent (AA)not in index–20.0%#34–Artificial Analysis
APEX-Agents (AA)not in index–2.4%#31–Artificial Analysis
Finance Agent v2not in indexeffort not stated––41.5%#59Vals AI
Harvey's Legal Agent Benchmark v1not in indexeffort not stated––2.1%#47Vals AI
Legal Research Benchnot in indexeffort not stated––15.9%#61Vals AI
Tax Agent Benchnot in indexeffort not stated––11.5%#56Vals AI
Terminal-Bench 4.0 (Vals)not in indexeffort not stated––0.5%#49Vals AI
AutomationBenchnot in index–13.7%#147–Artificial Analysis
GDP.pdf (AA)not in index–4.0%#170–Artificial Analysis

Maths

Benchmarknot statedSourceTrend
ProofBench22.0%#48Vals AI
Arena Maths1479#38Arena (LMArena)

Knowledge

Benchmarkno reasoningthinkingnot statedSourceTrend
AA-Omniscience-37.8#3163.3#116–Artificial Analysis
MMLU-Proeffort not stated––84.6%#60Vals AI
LegalBencheffort not stated––77.1%#106Vals AI
CorpFineffort not stated––61.4%#53Vals AI
TaxEvaleffort not stated––73.8%#45Vals AI
Excel Modeling Benchmarknot in indexeffort not stated––55.2%#49Vals AI
MedCodenot in indexeffort not stated––32.5%#86Vals AI
MedScribenot in indexeffort not stated––83.7%#41Vals AI
AA-Omniscience: accuracynot in index27.2%#20722.4%#276–Artificial Analysis
AA-Omniscience: non-hallucinationnot in index10.8%#40475.3%#22–Artificial Analysis

Instruction following

Benchmarkno reasoningthinkingnot statedSourceTrend
IFBench42.7%#23579.9%#9–Artificial Analysis
Arena Instruction Followingnot in indexeffort not stated––1467#39Arena (LMArena)

Human preference

Benchmarknot statedSourceTrend
Arena Text1467#51Arena (LMArena)
EQ-Bench 41208#14EQ-Bench
Arena Creative Writingnot in index1433#67Arena (LMArena)
Arena Multi-turnnot in index1480#41Arena (LMArena)
Arena Longer Queriesnot in index1486#34Arena (LMArena)

Long context

Benchmarkno reasoningthinkingSourceTrend
AA-LCR41.7%#35279.7%#88Artificial Analysis
MLCRnot in index–5.6%#139Artificial Analysis

Composite

Benchmarkno reasoningthinkingSourceTrend
AA Intelligence Index v4.3.218.3#25526.0#159Artificial Analysis

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
AtlasCloud103 tok/s4.56 s$0.435$0.8701.0Mfp8
DigitalOcean29 tok/s0.95 s$0.480$1.80262k–

Price history

The price above, per 1M tokens, every day it changed.

$0.00$0.825$1.65$2.48$3.30Oct 26
input outputnow $0.410 in · $1.02 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 $0.200 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0005$0.000445.5 s
Summarize a 30-page report12,000 / 600$0.0055$0.003651.3 s
Code edit6,000 / 1,500$0.0040$0.00301.1 min
Agentic coding session60,000 / 4,000$0.029$0.0191.9 min
Structured extraction2,000 / 200$0.0010$0.000743.6 s

More from Xiaomi

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See also

Questions people ask

What are MiMo-V2.5-Pro's benchmark scores?
As of 24 Oct 2026, MiMo-V2.5-Pro (thinking effort) scores 57.0 ±9.4 on the BenchLeader Index, strongest in instruction following (77) and weakest in reasoning (47). That rests on 7 independent benchmark results, and every score on this page links to its publisher.
How does MiMo-V2.5-Pro rank?
MiMo-V2.5-Pro (thinking effort) is #191 of 785 ranked configurations on 24 Oct 2026. 418 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does MiMo-V2.5-Pro cost per 1M tokens?
As of 24 Oct 2026, MiMo-V2.5-Pro costs $0.410 per 1M input tokens and $1.02 per 1M output tokens, $0.563 blended (three input tokens per output token). The list price last changed on 23 Oct 2026.
When was MiMo-V2.5-Pro released?
Xiaomi released MiMo-V2.5-Pro on 23 Apr 2026. BenchLeader has results for it at 3 reasoning-effort settings.

Data as of 24 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “MiMo-V2.5-Pro: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/mimo-v2-5-pro.