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Moonshot AI model product

Kimi K2 Thinking

Kimi K2 Thinking is an open-source language model from Moonshot AI designed for step-by-step reasoning and dynamic tool invocation.

Updated Oct 23, 2026. Default version: Kimi K2-Thinking-0905

LLMBoard Score58.8Kimi K2-Thinking-0905
Coverage100%20 benchmark families
Context window262.1KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

Kimi K2 Thinking Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

Kimi K2-Thinking-0905 LLMBoard score breakdown

Kimi K2 Thinking Benchmark Results

Benchmark scores for Kimi K2-Thinking-0905.

28 rows
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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkFinSearchComp-T3Score47.40%Rank01Participants1Percentile100.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkFRAMESScore87.00%Rank01Participants3Percentile100.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkOJBenchScore48.70%Rank02Participants9Percentile87.50%EvidenceCEvaluatedOct 22, 2026
BenchmarkSeal-0Score56.30%Rank02Participants7Percentile83.33%EvidenceCEvaluatedOct 22, 2026
BenchmarkTerminal-BenchScore47.10%Rank03Participants25Percentile91.67%EvidenceCEvaluatedOct 22, 2026
BenchmarkHMMT 2025Score97.50%Rank04Participants33Percentile90.63%EvidenceCEvaluatedOct 22, 2026
BenchmarkAIME 2025Score100.00%Rank05Participants122Percentile96.69%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMLU-ReduxScore94.40%Rank05Participants50Percentile91.84%EvidenceCEvaluatedOct 22, 2026
BenchmarkMulti-SWE-BenchScore41.90%Rank05Participants7Percentile33.33%EvidenceCEvaluatedOct 22, 2026
BenchmarkHealthBenchScore58.00%Rank06Participants14Percentile61.54%EvidenceCEvaluatedOct 22, 2026
BenchmarkAA AIME 2025Score94.67%Rank08Participants96Percentile92.63%EvidenceBEvaluatedN/A
BenchmarkBrowseComp-zhScore62.30%Rank09Participants15Percentile42.86%EvidenceCEvaluatedOct 22, 2026
BenchmarkSciCodeScore44.80%Rank14Participants31Percentile56.67%EvidenceCEvaluatedOct 22, 2026
BenchmarkWritingBenchScore73.80%Rank16Participants16Percentile0.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkLiveCodeBench v6Score83.10%Rank19Participants67Percentile72.73%EvidenceCEvaluatedOct 22, 2026
BenchmarkIMO-AnswerBenchScore78.60%Rank20Participants22Percentile9.52%EvidenceCEvaluatedOct 22, 2026
BenchmarkHumanity's Last ExamScore51.00%Rank22Participants109Percentile80.56%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMLU-ProScore84.60%Rank29Participants142Percentile80.14%EvidenceCEvaluatedOct 22, 2026
BenchmarkSWE-bench MultilingualScore61.10%Rank38Participants50Percentile24.49%EvidenceCEvaluatedOct 22, 2026
BenchmarkBrowseCompScore60.20%Rank44Participants70Percentile37.68%EvidenceCEvaluatedOct 22, 2026
BenchmarkAA IFBenchScore68.10%Rank55Participants168Percentile67.66%EvidenceBEvaluatedN/A
BenchmarkAA Omniscience AccuracyScore30.87%Rank58Participants201Percentile71.50%EvidenceBEvaluatedN/A
BenchmarkSWE-Bench VerifiedScore71.30%Rank63Participants120Percentile47.90%EvidenceCEvaluatedOct 22, 2026
BenchmarkAA CritPtScore2.57%Rank69Participants200Percentile65.83%EvidenceBEvaluatedN/A
BenchmarkGPQAScore84.50%Rank73Participants256Percentile71.76%EvidenceCEvaluatedOct 22, 2026
BenchmarkAA HLE Text No ToolsScore23.82%Rank73Participants200Percentile63.82%EvidenceBEvaluatedN/A
BenchmarkAA GPQA DiamondScore83.84%Rank80Participants199Percentile60.10%EvidenceBEvaluatedN/A
BenchmarkAA LCR v1.1Score72.00%Rank82Participants193Percentile57.81%EvidenceBEvaluatedN/A

Kimi K2 Thinking Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

Kimi K2 Thinking Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
From $0.40 input, $2.5 output per 1M via OpenCode
Tracked offerings
4
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Provider
Provider model ID
Region
Input / 1M
Output / 1M
Context
Updated
ProviderOpenCodeProvider model IDkimi-k2-thinkingRegionglobalInput / 1M$0.40Output / 1M$2.5Context262.1KUpdatedOct 23, 2026
ProviderHeliconeProvider model IDkimi-k2-thinkingRegionglobalInput / 1M$0.48Output / 1M$2Context256KUpdatedOct 23, 2026
Provider302.AIProvider model IDkimi-k2-thinkingRegionglobalInput / 1M$0.575Output / 1M$2.3Context262.1KUpdatedOct 23, 2026
ProviderCharm HyperProvider model IDkimi-k2-thinkingRegionglobalInput / 1M$0.60Output / 1M$2.5Context262.1KUpdatedOct 23, 2026

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

Kimi K2 Thinking Runtime Performance

Provider-specific output speed and catalog latency for Kimi K2-Thinking-0905. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

Kimi K2 Thinking Specifications

Technical details for the model's default version.

Version
Kimi K2-Thinking-0905
Released
Sep 5, 2025
Knowledge cutoff
Unknown
Parameters
1T
Context window
262.1K
Max output
262.1K
Inputs
text
Outputs
text
Open weights
Yes
License
MIT

Kimi K2 Thinking Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

1 row
Columns

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionKimi K2-Thinking-0905ReleasedSep 5, 2025LLMBoard58.77Parameters1TContext262.1KMax output262.1KOpen weightsYesLicenseMIT

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Details

What is Kimi K2 Thinking?

Key information about Kimi K2 Thinking and its available data.

Kimi K2 Thinking is a thinking model trained to interleave chain-of-thought reasoning with function calls. It uses native INT4 quantization via Quantization-Aware Training (QAT), has a 256k context window, and supports up to 200–300 consecutive tool invocations.

Data as of 2026-10-22.

FAQ

Common questions about Kimi K2 Thinking.

When was Kimi K2 Thinking released?

Kimi K2 Thinking's default version was released on Sep 5, 2025.

How much does Kimi K2 Thinking cost?

No official standard PAYG price is currently available for Kimi K2 Thinking. The lowest tracked third-party offer starts at $0.40 input and $2.5 output via OpenCode.

Who created Kimi K2 Thinking?

Kimi K2 Thinking was created by Moonshot AI.

What is the context window for Kimi K2 Thinking?

The default version has a 262.1K token context window.

Is Kimi K2 Thinking open weight?

Yes. The default version is marked as open weight under MIT.

How many API providers offer Kimi K2 Thinking?

4 provider offerings are linked to the default version.

Browse runtime rankings