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Kimi K2 Thinking

KimiKimiOpen WeightMIT · Commercial OK

Description

Kimi K2 Thinking is the latest, most capable version of open-source thinking model. Starting with Kimi K2, it is built as a thinking agent that reasons step-by-step while dynamically invoking tools. It sets a new state-of-the-art on Humanity's Last Exam (HLE), BrowseComp, and other benchmarks by dramatically scaling multi-step reasoning depth and maintaining stable tool-use across 200–300 sequential calls. At the same time, K2 Thinking is a native INT4 quantization model with 256k context window, achieving lossless reductions in inference latency and GPU memory usage. Key features include deep thinking & tool orchestration with end-to-end training to interleave chain-of-thought reasoning with function calls, native INT4 quantization via Quantization-Aware Training (QAT) achieving lossless 2x speed-up, and stable long-horizon agency maintaining coherent goal-directed behavior across up to 200–300 consecutive tool invocations.

Release Date
2025-11-06
Parameters
1.0T
Context Length
262K
Modalities
text

Capability Radar

47
general
76
coding
93
reasoning
57
science
50
agents
0
multimodal

Rankings

Domain#RankScoreSource
Agentic Capability27
56.0
LS
Code Ranking76
75.0
AA
General Ranking76
74.0
AA
Science106
67.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)60.2%SR
Terminal-Bench47.1%SR

Biology

GPQANYU + Cohere + Anthropic (2023)84.5%SR
SciCode44.8%SR

Code

SWE-Bench Verified71.3%SR
SWE-bench Multilingual61.1%SR
Multi-SWE-Bench41.9%SR

Communication

WritingBench73.8%SR

Economics

FinSearchComp-T347.4%SR

Finance

MMLU-Pro84.6%SR

General

MMLU-Redux94.4%SR
LiveCodeBench v683.1%SR

Healthcare

HealthBench58.0%SR

Math

AIME 2025100.0%SR
HMMT 202597.5%SR
IMO-AnswerBench78.6%SR
Humanity's Last Exam51.0%SR

Reasoning

FRAMES87.0%SR
BrowseComp-zh62.3%SR
Seal-056.3%SR
OJBench48.7%SR

AA Evaluation Indices

(Artificial Analysis)
Math Index(Artificial Analysis)
94.7
Intelligence Index(Artificial Analysis)
33.5
Aime 25(MAA (Mathematical Association of America))
0.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Lcr(Artificial Analysis)
0.7
Ifbench(Google Research (2023))
0.7
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.2

LLM Stats Category Scores

(LLM Stats (zeroeval))
Language
90
Legal
80
Math
80
Finance
80
Reasoning
70
Frontend Development
70
General
70
Healthcare
70
Communication
70
Creativity
70
Writing
70
Physics
60
Search
60
Biology
60
Chemistry
60
Agents
50
Code
50
Vision
50

Pricing

Input Price$0.6 / 1M tokens
Output Price$2.5 / 1M tokens
Blended Price (3:1)$1.075 / 1M tokens
Cache Read Price$0.15 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

15 providers

Cheapest: OpenCode ZenMost Expensive: Merge Gateway
ProviderInputOutput
1OpenCode ZenCheapest
$0.4
$2.5
2Vercel AI Gateway
$0.47
$2
3Helicone
$0.48
$2
4Alibaba (China)
$0.574
$2.294
5302.AI
$0.575
$2.3
6KimiPRIMARY
$0.6
$2.5
7NanoGPT
$0.6
$2.5
8OpenRouter
$0.6
$2.5
9ZenMux
$0.6
$2.5
10NovitaAI
$0.6
$2.5
11Kilo Gateway
$0.6
$2.5
12Moonshot AI (China)
$0.6
$2.5
13LLM Gateway
$0.6
$2.5
14Moonshot AI
$0.6
$2.5
15Merge Gateway
$0.6
$2.5

Compare pricing across different API providers for this model.

External Sources