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Kimi K2.5 is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
Moonshot AI·#82 of 504 in the all-versions archive
Kimi K2.5 is a language model from Moonshot AI. It ranks #82 of 504 in ModelCap's all-versions archive, with an Index score of 71.6, measured on 3 public benchmarks. Its score range of 66.9–76.3 spans positions #50–#103. It is listed at $0.50 per million input tokens and $2.50 per million output tokens across 5 providers. It reads up to 262K tokens of context, and its weights are downloadable under a use-restricted licence.
Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology
ModelCap Index · All-versions archive
71.6#82
Measured on 3 public benchmarks · range 66.9–76.3
Evidence as of 4 Nov 2026, 23:07 UTC
Superseded by Kimi K3. It no longer holds a current-board position; its all-versions archive rank is #82.
Input
$0.50
per 1M tokens
Output
$2.50
per 1M tokens
Context
262K
tokens
Providers
5
endpoints
Providers
Uptime measured over the last 30 minutesHugging Face Inference Providers
Exact repository identityProvider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.
Reasoning efforts
Best supported result can inform ModelCapPublished Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.
Related community configurations
Human preference ratingReported evaluation leads (88)
Not independent measurementStructured 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.
Showing 20 of 88 rows.
Other versions (4)
ModelCap Index · All-versions archive
Methodology71.6
Measured on 3 public benchmarks
All-versions archive
#82 of 504
- Score range
- 66.9–76.3
- Rank range
- #50–#103
- Evidence as of
- 4 Nov 2026, 23:07 UTC
- Benchmarks used
- ARC-AGI-2 Verified, Arena Coding, Arena Overall
Technical details
- Public rank basis
- Measured (measured)
- Evidence label
- Measured · 3 public benchmark observations across 3 boards
- Index support
- 65.7% · strong
- 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
- 3
- Qualified Index evidence point
- 71.6
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
- 71.6
- Evidence status
- confirmed · 87% mass
- General preference
- 72.6
- Coding
- 70.2
- Agents & tools
- —
- Reasoning
- 27.4
- Evidence breadth
- 95%
- Evidence coverage
- 66%
Market and catalogue signals · secondary, never the language Index rank
- Usage (OpenRouter popularity)
- 16.1
- Liquidity (providers × uptime)
- 99.5
- Open reach (HF downloads)
- —
- Surface (context / tools / modalities)
- 90.3
- Freshness
- 34.0
- · OpenRouter popularity #133
- · 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
- Arena Overall · Thinking72.6
- Arena Coding · Thinking70.2
- ARC-AGI-2 Verified27.4
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 index83.8
strong · 89% metadata coverage
- Artifact reproducibility
- 85.0
- Access & legal clarity
- 67.5
- Deployability
- 97.8
- Evaluation provenance
- 77.1
Not yet published: the base model it derives from, a link to the licence terms, pinned evaluation dataset versions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market activity
Venue coverage- Market Gravity
- 42.9
- OpenRouter weekly popularity
- #133 of 339
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
- #80 of 419
- Rating
- 1449.7
- 95% confidence interval
- 1446–1453
- Votes
- 75K
- Source published at
- 28 Oct 2026, 00:00 UTC
- Category
- overall
- Identity match confidence
- 100%
Market Gravity breakdown
- Usage55%
- 16.1
- Liquidity25%
- 99.5
- Open reach15%
- 50.0
- Freshness5%
- 34.0
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Model ID
moonshotai/kimi-k2.5- Context window
- 262K tokens
- Declared output cap
- 236K tokens
OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
- Inputs
- Text, Image
- Outputs
- Text
- Tokenizer
- Other
- Cached input tokens
- $0.15 / 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
- Licence
- modified-mit
- Pinned revision
- 4d01dfe0332d
- Parameters
- 1026.9B
- Architecture
- KimiK25ForConditionalGeneration
- Model type
- kimi_k25
- Hugging Face downloads (30d)
- 394K
- Downloads (all time)
- 16.4M
- Likes
- 3K
- Repository
- moonshotai/Kimi-K2.5
- Repository updated
- 30 Apr 2026, 03:56 UTC
Benchmark leaderboards featuring Kimi K2.5
All leaderboardsKimi K2.5: common questions
How much does Kimi K2.5 cost per 1M tokens?
Kimi K2.5 is listed at $0.50 per 1M input tokens and $2.50 per 1M output tokens as of 6 November 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 $2.25 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). The snapshot lists a 235,929 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context 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 6 November 2026: AtlasCloud, SiliconFlow, 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 5 public boards tracked by ModelCap as of 6 November 2026: Arena text 1450 (#80 of 419), Arena coding 1502 (#76 of 414), ARC-AGI-2 11.8% (#162 of 280), SWE-bench 70.8% (#12 of 47) and WildClawBench OpenClaw 30.8 (#30 of 34). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
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.