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Moonshot released on Nov 6, 2025 Open weights (restricted use)

Kimi K2 Thinking

Kimi K2 Thinking (Moonshot) was released on Nov 6, 2025. In the Epoch AI capability ranking (ECI), it ranks #85 out of 267 models, with 145.96. Against models of the same generation, its best result is on Creative writing (Lech Mazur): 8.56, #2 of 25.

#85 of 267 in the ECI ranking
145.96 ECI, the Epoch AI capability index
no match Arena ELO, human preference
not measured LiveBench, overall average from 0 to 100
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What the tests say

Where Kimi K2 Thinking stands out and where it falls behind, by the numbers

Kimi K2 Thinking has published results on 15 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Feb 9, 2025 and Feb 4, 2026 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.

Where it stands out

Tests where it sits in the top third of its own generation.

Creative writing (Lech Mazur)8.56
#2 of 25 in its generation · #2 of 38 overall
GPQA Diamond84.2%
#10 of 50 in its generation · #70 of 173 overall
FrontierMath21.4%
#10 of 33 in its generation · #27 of 65 overall
AIME 2024 and 2025 (OTIS)83.1%
#16 of 51 in its generation · #80 of 168 overall

Where it falls behind

Tests where it sits in the bottom half of its own generation.

SimpleBench26.3%
#29 of 30 in its generation · record: 81.9% (Claude Fable 5)
FrontierMath tier 40.0%
#21 of 26 in its generation, tied with 5 · record: 39.6% (GPT-5.5 Pro)
METR: time horizon54.19
#13 of 17 in its generation · record: 719 (Claude Opus 4.6)
WebDev Arena1,337
#12 of 16 in its generation · record: 1,820 (Claude Opus 5.5)
Gso4.9%
#10 of 14 in its generation, tied with 1 · record: 88.2% (Claude Fable 5.1)
See all 15 tests, one by one
TestScoreIn its generationOverallTest record
GPQA Diamond 84.2% #10 / 50 #70 / 173 96.4% Gemini 4 Argon
AIME 2024 and 2025 (OTIS) 83.1% #16 / 51 #80 / 168 100.0% GPT-5.5
WeirdML 42.8% #22 / 40 #66 / 112 93.6% GPT-6 Astra
ALE-Bench 598 #19 / 26 #72 / 82 2,951 GPT-6 Astra
WebDev Arena 1,337 #12 / 16 #74 / 82 1,820 Claude Opus 5.5
SimpleBench 26.3% #29 / 30 #62 / 74 81.9% Claude Fable 5
FrontierMath 21.4% #10 / 33 #27 / 65 51.7% GPT-5.5
ForecastBench 60.20 #17 / 28 (tied with 1) #24 / 62 62.50 o3
FrontierMath tier 4 0.0% #21 / 26 (tied with 5) #40 / 48 39.6% GPT-5.5 Pro
Aider Polyglot 59.10 #15 / 28 #17 / 38 88.00 GPT-5
Creative writing (Lech Mazur) 8.56 #2 / 25 #2 / 38 8.60 GPT-5
Terminal-Bench 35.7% #11 / 20 #22 / 33 84.7% GPT-5.5
METR: time horizon 54.19 #13 / 17 #17 / 29 719 Claude Opus 4.6
Gso 4.9% #10 / 14 (tied with 1) #21 / 28 88.2% Claude Fable 5.1
Cl Bench 17.6% #6 / 11 #13 / 19 27.9% GPT-5.4

For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.

Comparison

What to compare Kimi K2 Thinking with

The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.

ModelLabECIELOLiveBenchRelease
GPT-5.4 Nano OpenAI 146.12 1,404 69.6 Mar 17, 2026
DeepSeek-V3.2 DeepSeek 146.11 1,455 n/a Dec 1, 2025
DeepSeek-V4-Flash DeepSeek 146.05 1,468 65.5 Apr 24, 2026
Kimi K2 Thinking Moonshot 145.96 n/a n/a Nov 6, 2025
MiniMax-M2.7 MiniMax 145.88 1,454 n/a Mar 18, 2026
GLM-5 Z.ai (Zhipu AI) 145.78 1,511 n/a Feb 11, 2026
Nemotron 3 Ultra Nvidia 145.77 n/a n/a Jun 4, 2026
Head to head

Kimi K2 Thinking or DeepSeek-V3.2?

DeepSeek-V3.2 is the model from another lab closest to Kimi K2 Thinking in capability. Across the 8 tests both took, this is the score:

Kimi K2 Thinking ahead on 3 DeepSeek-V3.2 ahead on 5
Largest differences first
TestKimi K2 ThinkingDeepSeek-V3.2
FrontierMath tier 4 0.0% 2.1%
Cl Bench 17.6% 12.4%
Aider Polyglot 59.10 74.20
Terminal-Bench 35.7% 39.6%
AIME 2024 and 2025 (OTIS) 83.1% 87.8%
FrontierMath 21.4% 22.1%
GPQA Diamond 84.2% 83.4%
WebDev Arena 1,337 1,325

Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.

Family

Other models from Moonshot

The models from the same lab closest in time, newest first.

ModelReleaseECIELOLiveBenchAccess
Kimi K3 Jul 16, 2026 157.42 1,528 79.2 Open weights (non-commercial)
Kimi K2.7 Code Jun 12, 2026 149.87 n/a 68.4 Open weights (unrestricted)
Kimi K2.6 Apr 20, 2026 150.92 1,521 70.5 Open weights (unrestricted)
Kimi K2.5 Jan 27, 2026 147.98 1,495 n/a Open weights (unrestricted)
Kimi K2 Thinking Nov 6, 2025 145.96 n/a n/a Open weights (restricted use)
Kimi K2 Thinking Turbo Nov 6, 2025 145.79 1,456 n/a Open weights (restricted use)
Kimi K2 Instruct Jul 12, 2025 140.13 n/a n/a Open weights (restricted use)
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Frequently asked questions

What people ask about Kimi K2 Thinking

Where does Kimi K2 Thinking rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Kimi K2 Thinking ranks #85 out of 267 models, with an ECI of 145.96. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.

Is Kimi K2 Thinking better than DeepSeek-V3.2?

Across the 8 tests both models took and Epoch AI compiled, Kimi K2 Thinking comes out ahead on 3, behind on 5 and tied on 0. It is a test-by-test count with no weighting: a win in math counts the same as a win in coding. To choose between the two, look at the tests that resemble your own use.

What is Kimi K2 Thinking best at?

Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of Kimi K2 Thinking are: Creative writing (Lech Mazur) (#2 of 25); GPQA Diamond (#10 of 50); FrontierMath (#10 of 33). The yardstick is its position among the models of that period that took the same test.

Where do the numbers on this page come from?

From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.

Sources

Where each number comes from

Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.

The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.

LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.

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