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ModelCap

Kimi K2 Thinking

Current board #48Arena #102Official publisher releaseRestricted license7d #46 → #48

Moonshot AI·moonshotai/kimi-k2-thinking

Kimi K2 Thinking is ModelCap current-board rank #48 with Index 65.1 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

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

Kimi K2 Thinking has 2 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Kimi K2 Thinking 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 · Current board
65.1#48
Measured · 63% support · score interval 60.1–70.1
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
34.6Decreased by 0.1
Secondary market signal
Input
$0.60
per 1M tokens
Output
$2.50
per 1M tokens
Context
262K
tokens
Providers
2
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
GoogleCheapest$0.60$2.50262K
Novitabf16$0.60$2.50262Kbf16

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
Turbo
kimi-k2-thinking-turbo
1430
CI 1427–1433
#10261KLMArena
Match 99%

Reported evaluation leads (5)

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
44.9
Unpinned
not published
Reported
Quarantined
cais/hle
hle
23.9
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.0
terminalbench_2
35.7
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
84.5
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
71.3
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
65.1
Measured · 2 public benchmark observations across 2 boards
Current board
#48
Public rank basis
Measured (measured)
Index support
63.0% · strong
Index interval
60.1–70.1
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-thinking · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata moonshotai/Kimi-K2-Thinking@a51ccc050d73dab088bf7b0e2dd9b30ae85a4e55 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
65.1
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
65.1
Evidence status
confirmed · 77% mass
General preference
64.8
Coding
66.7
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
11.5
Liquidity (providers × uptime)
77.2
Open reach (HF downloads)
Surface (context / tools / modalities)
75.3
Freshness
29.6
  • · OpenRouter popularity #166
  • · 2 live providers
  • · Catalogue: context 262144, reasoning, tools
  • · First seen 2025-11-06

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
76.8
strong · 89% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
67.5
Deployability
89.9
Evaluation provenance
54.0

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
34.6
OpenRouter weekly popularity
#166 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
#102 of 402
Rating
1430.1
95% confidence interval
1427–1433
Votes
61K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
11.5

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
77.2

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%
29.6

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
$0.15 / 1M
First seen on OpenRouter
6 Nov 2025

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
a51ccc050d73
Parameters
1026.4B
Architecture
DeepseekV3ForCausalLM
Model type
kimi_k2
Hugging Face downloads (30d)
61K
Downloads (all time)
1.9M
Likes
2K
Repository updated
30 Jan 2026, 04:49 UTC

Compare Kimi K2 Thinking with

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Benchmark leaderboards featuring Kimi K2 Thinking

All leaderboards
Public benchmark boards on which Kimi K2 Thinking has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14871481–1492#89 of 397Turbo13 Sept 2026
SWE-bench leaderboardSWE-bench (Princeton / SWE-agent team)63.4%#23 of 47Thinking10 Dec 2025
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis93.0%#47 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Kimi K2 Thinking":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis23.8%#153 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Kimi K2 Thinking":reasoning=true5 Sept 2026

Alternatives to Kimi K2 Thinking, by the numbers

Ranked neighbours

Models within 3 places of #48 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 Moonshot AI models

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

Kimi K2 Thinking: common questions

How does Kimi K2 Thinking rank among AI models?

Kimi K2 Thinking holds ModelCap Index position #48 of 248 ranked language models as of 22 September 2026, with an Index score of 65.1 (interval 60.1–70.1); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Kimi K2 Thinking cost per 1M tokens?

Kimi K2 Thinking is listed at $0.60 per 1M input tokens and $2.50 per 1M output tokens as of 22 September 2026 across 2 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 $2.45 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 Thinking?

Kimi K2 Thinking 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 Thinking 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-Thinking on Hugging Face.

Which API providers serve Kimi K2 Thinking?

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

Which benchmarks has Kimi K2 Thinking been evaluated on?

Kimi K2 Thinking has published results on 4 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1487 (#89 of 397), SWE-bench 63.4% (#23 of 47), AA τ²-Bench Telecom 93.0% (#47 of 436) and AA Humanity's Last Exam 23.8% (#153 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Kimi K2 Thinking compare with Ling 3.0 Flash VL?

Kimi K2 Thinking ranks #48 (Index 65.1) and Ling 3.0 Flash VL ranks #47 (Index 65.2) 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 Kimi K2 Thinking released?

Kimi K2 Thinking first appeared in the catalogue on 6 Nov 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.