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ModelCap

MiMo-V2.5

Current board #42Arena #96Official publisher releaseOpen weights

Xiaomi·xiaomi/mimo-v2.5

MiMo-V2.5 is ModelCap current-board rank #42 with Index 67.0 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

MiMo-V2.5 listed OpenRouter input price is $0.14 per 1M tokens and listed output price is $0.28 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

MiMo-V2.5 has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

MiMo-V2.5 has 6 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

MiMo-V2.5 weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
67.0#42
Measured · 63% support · score interval 62.1–71.9
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
69.0
Secondary market signal
Input
$0.14
per 1M tokens
Output
$0.28
per 1M tokens
Context
1M
tokens
Providers
6
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
GMICloudfp8Cheapest$0.119$0.2381Mfp894.81%
DeepInfrafp8$0.133$0.266262Kfp899.85%
Xiaomifp8$0.14$0.281Mfp899.52%
StreamLake$0.168$0.3361M92.34%
Novitafp8$0.168$0.3361Mfp899.25%
Venicefp8$0.40$2.001Mfp899.50%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
deepinfra
live
$0.14$0.28262K984 ms21.6 tok/stools · structured
novita
live
$0.168$0.3361M1181 ms32.0 tok/stools
featherless-ai
live

Reported evaluation leads (6)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
claw-eval/Claw-Eval
general
62.1
Unpinned
not published
Reported
Quarantined
claw-eval/Claw-Eval
multimodal
23.8
Unpinned
not published
Reported
Quarantined
claw-eval/Claw-Eval
multi_turn
63.2
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.0
terminalbench_2
65.8
Unpinned
not published
Reported
Quarantined
InternScience/ResearchClawBench
overall
16.91
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
56.1
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
67.0
Measured · 2 public benchmark observations across 2 boards
Current board
#42
Public rank basis
Measured (measured)
Index support
63.4% · strong
Index interval
62.1–71.9
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
Identity binding
Exact catalogue product · xiaomi/xiaomi/mimo-v2.5/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata XiaomiMiMo/MiMo-V2.5@63651580ca774f8504f676040460aed3e1244ac1 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
67.0
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
67.0
Evidence status
confirmed · 77% mass
General preference
66.8
Coding
68.4
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
69.0
Liquidity (providers × uptime)
81.0
Open reach (HF downloads)
53.4
Surface (context / tools / modalities)
100.0
Freshness
56.0
  • · OpenRouter popularity #6
  • · 6 live providers
  • · HF 30d downloads 286585
  • · Catalogue: context 1050000, reasoning, tools, modalities Text/Audio/Image/Video
  • · First seen 2026-04-22

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
85.5
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
97.4
Evaluation provenance
53.8

Missing: artifactReproducibility.base-lineage, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
69.0
OpenRouter weekly popularity
#6 of 322

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#96 of 402
Rating
1433.6
95% confidence interval
1429–1438
Votes
44K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
69.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
81.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
53.4

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
56.0

Time since first public availability, on a six-month half-life.

Specification

Context window
1M tokens
Max output
131K tokens
Inputs
Text, Audio, Image, Video
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.0028 / 1M
First seen on OpenRouter
22 Apr 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
mit
Pinned revision
63651580ca77
Parameters
310.8B
Architecture
MiMoV2ForCausalLM
Model type
mimo_v2
Hugging Face downloads (30d)
287K
Downloads (all time)
1.4M
Likes
426
Repository updated
9 Jul 2026, 04:23 UTC

Compare MiMo-V2.5 with

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Benchmark leaderboards featuring MiMo-V2.5

All leaderboards
Public benchmark boards on which MiMo-V2.5 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14911484–1497#81 of 397Default13 Sept 2026

Alternatives to MiMo-V2.5, by the numbers

Ranked neighbours

Models within 3 places of #42 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Xiaomi models

The same publisher's other current models with a public Index position.

MiMo-V2.5: common questions

How does MiMo-V2.5 rank among AI models?

MiMo-V2.5 holds ModelCap Index position #42 of 248 ranked language models as of 22 September 2026, with an Index score of 67.0 (interval 62.1–71.9); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does MiMo-V2.5 cost per 1M tokens?

MiMo-V2.5 is listed at $0.14 per 1M input tokens and $0.28 per 1M output tokens as of 22 September 2026; the lowest output price among 6 providers is $0.238 on GMICloud. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.42 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of MiMo-V2.5?

MiMo-V2.5 has a published context window of 1M tokens (1,050,000) and a maximum output of 131K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is MiMo-V2.5 open-weight?

Open weights (mit). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is XiaomiMiMo/MiMo-V2.5 on Hugging Face.

Which API providers serve MiMo-V2.5?

6 providers serve MiMo-V2.5 through OpenRouter as of 22 September 2026: GMICloud, DeepInfra, Xiaomi, StreamLake, Novita and Venice. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has MiMo-V2.5 been evaluated on?

MiMo-V2.5 has published results on 1 public board tracked by ModelCap as of 22 September 2026: Arena coding 1491 (#81 of 397). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does MiMo-V2.5 compare with Laguna M.1?

MiMo-V2.5 ranks #42 (Index 67.0) and Laguna M.1 ranks #43 (Index 66.8) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was MiMo-V2.5 released?

MiMo-V2.5 first appeared in the catalogue on 22 Apr 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.