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ModelCap

Kimi K2.5

All-versions archive #62Arena #69Official publisher releaseRestricted license

Moonshot AI·moonshotai/kimi-k2.5

Kimi K2.5 is ModelCap archive rank #62 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Kimi K2.5 listed OpenRouter input price is $0.45 per 1M tokens and listed output price is $2.25 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Kimi K2.5 has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Kimi K2.5 has 5 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Kimi K2.5 weight access is restricted license, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
71.4#62
Measured · 67% support · score interval 66.8–76.0
Evidence as of 21 Sept 2026, 17:21 UTC
Market Gravity
46.1Decreased by 0.2
Secondary market signal

Superseded by Kimi K3. It no longer holds a current-board position; its all-versions archive rank is #62.

Input
$0.45
per 1M tokens
Output
$2.25
per 1M tokens
Context
262K
tokens
Providers
5
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
SiliconFlowint4Cheapest$0.45$2.25262Kint4100.0%
AtlasCloudint4$0.49$2.50262Kint498.69%
Novita$0.57$2.85262K98.37%
Amazon Bedrockus-east-2$0.60$3.00262K98.29%
Venice$0.532$3.32256K99.22%

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
$0.45$2.25262K696 ms23.1 tok/stools · structured
novita
live
$0.60$3.00262K904 ms49.0 tok/stools
featherless-ai
live

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Thinking
kimi-k2.5-thinking
1450
CI 1447–1454
#6971KLMArena
Match 100%

Reported evaluation leads (88)

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
cais/hle
hle
50.2
Unpinned
not published
Reported
Quarantined
cais/hle
default
24.37
Unpinned
not published
Reported
Quarantined
claw-eval/Claw-Eval
general
52.8
Unpinned
not published
Reported
Quarantined
claw-eval/Claw-Eval
multimodal
14.8
Unpinned
not published
Reported
Quarantined
claw-eval/Claw-Eval
multi_turn
50
Unpinned
not published
Reported
Quarantined
collinear-ai/yc-bench
medium
408,822
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
overall
77.5
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
digital
85
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
photographed
75
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
latin
81.6
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
de
85.9
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
en
86.2
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
es
72.7
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
fr
71
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
id
80.6
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
it
86.6
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
nl
77.4
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
pt
87.6
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
vi
86.2
Unpinned
not published
Reported
Quarantined
Delores-Lin/MDPBench
non_latin
72.9
Unpinned
not published
Reported
Quarantined

Showing 20 of 88 rows.

Other versions (4)

ModelCap Index · All-versions archive

Methodology
71.4
Measured · 4 public benchmark observations across 4 boards
All-versions archive
#62
Public rank basis
Measured (measured)
Index support
66.9% · strong
Index interval
66.8–76.0
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
21 Sept 2026, 17:21 UTC
Identity binding
Exact catalogue product · moonshotai/moonshotai/kimi-k2.5 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata moonshotai/Kimi-K2.5@4d01dfe0332d63057c186e0b262165819efb6611 (not the evaluation revision)
Index observations used
4
Qualified Index evidence point
71.4
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
71.4
Evidence status
confirmed · 90% mass
General preference
73.6
Coding
71.9
Agents & tools
27.1
Reasoning
35.9
Evidence breadth
100%
Evidence coverage
67%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
21.3
Liquidity (providers × uptime)
99.3
Open reach (HF downloads)
Surface (context / tools / modalities)
90.3
Freshness
40.4
  • · OpenRouter popularity #94
  • · 5 live providers
  • · Catalogue: context 262144, reasoning, tools, modalities Text/Image
  • · First seen 2026-01-27

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
86.3
strong · 89% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
67.5
Deployability
97.6
Evaluation provenance
89.9

Missing: artifactReproducibility.base-lineage, accessLegalClarity.resolvable-license-terms, 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
46.1
OpenRouter weekly popularity
#94 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
#69 of 402
Rating
1450.4
95% confidence interval
1447–1454
Votes
71K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
21.3

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
99.3

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

Open reach15%
50.0

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

Freshness5%
40.4

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

Specification

Context window
262K tokens
Max output
236K tokens
Inputs
Text, Image
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.07 / 1M
First seen on OpenRouter
27 Jan 2026

Capabilities

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

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Pinned revision
4d01dfe0332d
Parameters
1026.9B
Architecture
KimiK25ForConditionalGeneration
Model type
kimi_k25
Hugging Face downloads (30d)
313K
Downloads (all time)
15.8M
Likes
3K
Repository updated
30 Apr 2026, 03:56 UTC

Benchmark leaderboards featuring Kimi K2.5

All leaderboards
Public benchmark boards on which Kimi K2.5 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)15021497–1507#64 of 397Thinking13 Sept 2026
ARC-AGI-2 leaderboardARC Prize Foundation11.8%#109 of 214Default21 Sept 2026
SWE-bench leaderboardSWE-bench (Princeton / SWE-agent team)70.8%#12 of 47High17 Feb 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis95.9%#16 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Kimi K2.5 (Reasoning)":reasoning=true13 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis30.7%#111 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Kimi K2.5 (Reasoning)":reasoning=true13 Sept 2026
WildClawBench OpenClaw leaderboardWildClawBench30.8#30 of 34Default20 Jul 2026

Kimi K2.5: common questions

How does Kimi K2.5 rank among AI models?

Kimi K2.5 is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Kimi K2.5 cost per 1M tokens?

Kimi K2.5 is listed at $0.45 per 1M input tokens and $2.25 per 1M output tokens as of 22 September 2026 across 5 providers. 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 $2.02 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 Kimi K2.5?

Kimi K2.5 has a published context window of 262K tokens (262,144) and a maximum output of 236K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Kimi K2.5 open-weight?

Restricted license (modified-mit). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is moonshotai/Kimi-K2.5 on Hugging Face.

Which API providers serve Kimi K2.5?

5 providers serve Kimi K2.5 through OpenRouter as of 22 September 2026: SiliconFlow, AtlasCloud, Venice, Novita and Amazon Bedrock. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Kimi K2.5 been evaluated on?

Kimi K2.5 has published results on 6 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1502 (#64 of 397), ARC-AGI-2 11.8% (#109 of 214), SWE-bench 70.8% (#12 of 47), AA τ²-Bench Telecom 95.9% (#16 of 436) and AA Humanity's Last Exam 30.7% (#111 of 615) and more. Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was Kimi K2.5 released?

Kimi K2.5 first appeared in the catalogue on 27 Jan 2026. It has since been superseded by Kimi K3. Rank and price movements since then are recorded on the site's changes feed.