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ModelCap

Kimi K2 0905

All-versions archive #1151 Arena configurationsOfficial publisher releaseRestricted license

Moonshot AI·moonshotai/kimi-k2-0905

Kimi K2 0905 is ModelCap archive rank #115 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Kimi K2 0905 listed OpenRouter input price is $0.60 per 1M tokens and listed output price is $2.50 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Kimi K2 0905 has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Kimi K2 0905 has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Kimi K2 0905 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
59.8#115
Measured · 59% support · score interval 54.5–65.1
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
38.9Decreased by 0.1
Secondary market signal

Superseded by Kimi K3. It no longer holds a current-board position; its all-versions archive rank is #115.

Input
$0.60
per 1M tokens
Output
$2.50
per 1M tokens
Context
262K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitafp8$0.60$2.50262Kfp8100.0%

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
novita
live
$0.60$2.50262K646 ms52.6 tok/stools · structured

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
Preview
kimi-k2-0905-preview
1418
CI 1412–1425
#12012KLMArena
Match 98%

Reported evaluation leads (1)

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
FutureMa/EvasionBench
evasion_bench
66.68
Unpinned
not published
Reported
Quarantined

Other versions (4)

ModelCap Index · All-versions archive

Methodology
59.8
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#115
Public rank basis
Measured (measured)
Index support
58.7% · strong
Index interval
54.5–65.1
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 · moonshotai/moonshotai/kimi-k2-0905/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata moonshotai/Kimi-K2-Instruct-0905@ac6c49f04883bd0a0598b790693a72061c676629 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
59.8
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
59.8
Evidence status
confirmed · 76% mass
General preference
60.1
Coding
57.6
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
59%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
10.7
Liquidity (providers × uptime)
97.4
Open reach (HF downloads)
Surface (context / tools / modalities)
50.3
Freshness
23.3
  • · OpenRouter popularity #174
  • · 1 live provider
  • · Catalogue: context 262144, tools
  • · First seen 2025-09-04

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
73.2
partial · 89% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
67.5
Deployability
80.0
Evaluation provenance
51.0

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
38.9
OpenRouter weekly popularity
#174 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

Configuration results available

Arena has published current community results for Preview. No default-configuration result is published, so the raw Arena field stays configuration-specific. The strongest supported result can still inform ModelCap Score with reduced confidence.

Current board through 13 Sept 2026, 00:00 UTC

Market Gravity breakdown

Usage55%
10.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
97.4

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%
23.3

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

Specification

Context window
262K tokens
Max output
98K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
4 Sept 2025
Knowledge cutoff
2024-12-31

Capabilities

  • Not 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
ac6c49f04883
Parameters
1026.5B
Architecture
DeepseekV3ForCausalLM
Model type
kimi_k2
Hugging Face downloads (30d)
49K
Downloads (all time)
5.2M
Likes
787
Repository updated
30 Jan 2026, 04:50 UTC

Benchmark leaderboards featuring Kimi K2 0905

All leaderboards
Public benchmark boards on which Kimi K2 0905 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14671454–1480#116 of 397Preview13 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis73.4%#153 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Kimi K2 0905":reasoning=false5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis6.4%#366 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Kimi K2 0905":reasoning=false5 Sept 2026

Kimi K2 0905: common questions

How does Kimi K2 0905 rank among AI models?

Kimi K2 0905 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 0905 cost per 1M tokens?

Kimi K2 0905 is listed at $0.60 per 1M input tokens and $2.50 per 1M output tokens as of 22 September 2026. 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 $2.45 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 0905?

Kimi K2 0905 has a published context window of 262K tokens (262,144) and a maximum output of 98K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Kimi K2 0905 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-Instruct-0905 on Hugging Face.

Which API providers serve Kimi K2 0905?

One provider serves Kimi K2 0905 through OpenRouter as of 22 September 2026: Novita. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Kimi K2 0905 been evaluated on?

Kimi K2 0905 has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1467 (#116 of 397), AA τ²-Bench Telecom 73.4% (#153 of 436) and AA Humanity's Last Exam 6.4% (#366 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was Kimi K2 0905 released?

Kimi K2 0905 first appeared in the catalogue on 4 Sept 2025, with a published knowledge cutoff of 2024-12-31. It has since been superseded by Kimi K3. Rank and price movements since then are recorded on the site's changes feed.