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Kimi K2 Thinking

KimiKimiОткрытые весаMIT · Коммерческое использование

Описание

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.

Дата выхода
2025-11-06
Параметры
1.0T
Длина контекста
262K
Модальности
text

Радар способностей

41
general
85
coding
93
reasoning
65
science
50
agents
0
multimodal

Рейтинги

Домен#МестоОценкаИсточник
Рейтинг кодинга151
74.0
AA
Общий рейтинг105
67.0
AA
Наука176
62.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Finance

FinSearchComp-T347.4%Сам.

Healthcare

HealthBench58.0%Сам.

Language

MMLU-Redux94.4%Сам.
MMLU-Pro84.6%Сам.

Math

AIME 2025100.0%Сам.
HMMT 202597.5%Сам.
IMO-AnswerBench78.6%Сам.

Reasoning

FRAMES87.0%Сам.
GPQANYU + Cohere + Anthropic (2023)84.5%Сам.
LiveCodeBench v683.1%Сам.
SWE-Bench Verified71.3%Сам.
BrowseComp-zh62.3%Сам.
SWE-bench Multilingual61.1%Сам.
BrowseCompOpenAI (2025)60.2%Сам.
Seal-056.3%Сам.
Humanity's Last Exam51.0%Сам.
OJBench48.7%Сам.
Terminal-Bench47.1%Сам.
SciCode44.8%Сам.
Multi-SWE-Bench41.9%Сам.

Writing

WritingBench73.8%Сам.

Индексы оценки AA

(Artificial Analysis)
Math Index(Artificial Analysis)
94.7
Aime 25(MAA (Mathematical Association of America))
94.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
93.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))
85.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
84.8
Gpqa(NYU + Cohere + Anthropic (2023))
83.8
Lcr(Artificial Analysis)
72.0
Ifbench(Google Research (2023))
68.1
Terminalbench Hard(Stanford × Laude Institute (2026))
31.1
Hle(Center for AI Safety + Scale AI (2025))
23.8
Intelligence Index(Artificial Analysis)
22.0

Оценки категорий LLM Stats

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

Цены

Цена ввода$0.6 / 1M токенов
Цена вывода$2.5 / 1M токенов
Смешанная цена (3:1)$1.075 / 1M токенов
Цена чтения кэша$0.15 / 1M токенов

Скорость

Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

14 провайдеров

Самый дешевый: OpenCode ZenСамый дорогой: Charm Hyper
ПровайдерВводВывод
1OpenCode ZenСамый дешевый
$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
6KimiОсновной
$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
12DevPass (LLM Gateway)
$0.6
$2.5
13Merge Gateway
$0.6
$2.5
14Charm Hyper
$0.6
$2.5

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки