Model comparison

Gemini 3 Deep Think vs Kimi K2.5

Kimi K2.5 has enough public results to be ranked (#57); Gemini 3 Deep Think does not yet, so treat this comparison as directional.

Last verified . 3 shared benchmarks.

Gemini 3 Deep Think Google

58.3

Unranked Sparse

Kimi K2.5 Moonshot AI

48.1

Rank #57 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Gemini 3 Deep Think scores higher in 1 category and Kimi K2.5 in 0 categories; one gap is clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3 Deep Think leads 70.2 to 31.2.
  • The biggest single-benchmark swing is ARC-AGI-2: 84.6% for Gemini 3 Deep Think and 11.8% for Kimi K2.5.
  • Kimi K2.5 has downloadable open weights; the other is API-only.

Side by side

Gemini 3 Deep Think and Kimi K2.5 specifications
Gemini 3 Deep ThinkKimi K2.5
ProviderGoogleMoonshot AI
Noometry Index58.348.1
Released2026-02-122026-01-27
WeightsProprietaryOpen
Context window—262K
Max output—262K
Input $ / M tokens—$0.45
Output $ / M tokens—$2.25
Results tracked351

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Category by category

Coding Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 48.8 (#53)

Coding benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
SWE-bench Verified—73.8%
SWE-bench Verified (bash only)—70.8%
LMArena WebDev—1437
SWE-bench Multilingual—67.3%
SciCode—49%
WeirdML—45.6%
LMArena Coding—1474
ALE-Bench—821.65

Agentic & Tool Use Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 34.2 (#48)

Agentic & Tool Use benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
Terminal-Bench—43.2%
OSWorld—63.3%
Vending-Bench 2—1,198

Reasoning Gemini 3 Deep Think leads

Gemini 3 Deep Think: 70.2 (#14), Kimi K2.5: 31.2 (#80)

Reasoning benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
ARC-AGI-284.6%11.8%
ARC-AGI-196%65.3%
CritPt25.7%3.1%
SimpleBench—46.8%
Kagi LLM Benchmark—78.5%
NYT Connections (extended)—69.9%
Chess Puzzles—12%
EnigmaEval—3.4%
Thematic Generalization—69.4%
LMArena Hard Prompts—1453
Epoch Capabilities Index—148.03

Math Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 51.8 (#53)

Math benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
MathArena Final-Answer Competitions—62.3%
OTIS Mock AIME 2024-2025—92.2%
LMArena Math—1470
FrontierMath (Feb 2025 set)—27.9%
FrontierMath Tier 4 (v1)—4.2%

Knowledge Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 53.6 (#56)

Knowledge benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
GPQA Diamond—87.6%
Humanity's Last Exam—24.4%
SimpleQA Verified—34.3%
Vectara Hallucination Rate—14.2%
LMArena Expert—1466

Multimodal Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 41.1 (#39)

Multimodal benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
LMArena Vision—1269
LMArena Document—1430

Multilingual Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 53.9 (#53)

Multilingual benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
LMArena Non-English—1433
LMArena Chinese—1495
LMArena French—1454
LMArena German—1441
LMArena Japanese—1421
LMArena Korean—1410
LMArena Russian—1435
LMArena Spanish—1450

Instruction Following Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 75.3 (#64)

Instruction Following benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
LMArena Instruction Following—1431

Long Context Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 52.1 (#7)

Long Context benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
Fiction.LiveBench—86.1%
CL-bench—19.3%
CL-bench Life—13.2%
LMArena Longer Query—1445

Writing & Preference Not comparable

Gemini 3 Deep Think: —, Kimi K2.5: 65.1 (#53)

Writing & Preference benchmarks
BenchmarkGemini 3 Deep ThinkKimi K2.5
LMArena Text—1445
LMArena Creative Writing—1423
EQ-Bench Creative Writing—1579
LMArena Multi-Turn—1444

Frequently asked questions

Is Gemini 3 Deep Think better than Kimi K2.5?

Kimi K2.5 has enough public results to be ranked (#57); Gemini 3 Deep Think does not yet, so treat this comparison as directional.

How many benchmarks do Gemini 3 Deep Think and Kimi K2.5 share?

3 benchmarks have published results for both models. Gemini 3 Deep Think has 3 scored results on Noometry and Kimi K2.5 has 51.

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