Compare · ModelsLive · 2 picked · head to head
GPT-5 vs Kimi K2.6
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Kimi K2.6 wins on 7/10 benchmarks
Kimi K2.6 wins 7 of 10 shared benchmarks. Leads in math · coding.
Category leads
knowledge·GPT-5math·Kimi K2.6coding·Kimi K2.6
Hype vs Reality
Attention vs performance
GPT-5
#98 by perf·no signal
Kimi K2.6
#106 by perf·no signal
Best value
Kimi K2.6
2.7x better value than GPT-5
GPT-5
9.5 pts/$
$5.63/M
Kimi K2.6
25.4 pts/$
$2.04/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
moonshotai
private · undisclosed
Head to head
10 benchmarks · 2 models
GPT-5Kimi K2.6
Chess Puzzles
GPT-5 leads by +11.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
GPT-5
37.0
Kimi K2.6
26.0
FrontierMath-2025-02-28-Private
Kimi K2.6 leads by +6.6
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
GPT-5
32.4
Kimi K2.6
39.0
FrontierMath-Tier-4-2025-07-01-Private
Kimi K2.6 leads by +2.1
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
GPT-5
12.5
Kimi K2.6
14.6
FrontierMath-Tier-4-v2-Private
Kimi K2.6 leads by +3.7
GPT-5
21.9
Kimi K2.6
25.6
FrontierMath-Tiers-1-3-v2-Private
Kimi K2.6 leads by +1.8
GPT-5
55.4
Kimi K2.6
57.2
GPQA diamond
Kimi K2.6 leads by +6.1
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-5
81.6
Kimi K2.6
87.7
OTIS Mock AIME 2024-2025
Kimi K2.6 leads by +4.7
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GPT-5
91.4
Kimi K2.6
96.1
SimpleQA Verified
GPT-5 leads by +11.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
GPT-5
50.6
Kimi K2.6
38.7
SWE-Bench verified
Kimi K2.6 leads by +3.1
SWE-bench Verified · 500 human-validated tasks from 12 real Python repositories (Django, Flask, scikit-learn, sympy, and others). Each task requires the model to produce a git patch that resolves a real GitHub issue and passes the test suite. The verified subset eliminates ambiguous tasks from the original SWE-bench. Claude Mythos Preview leads at 93.9%, crossing 90% for the first time in 2026. Opus 4.6 scores 80.8%. The benchmark remains the most-cited evaluation for code-generation capability.
GPT-5
73.5
Kimi K2.6
76.7
WeirdML
GPT-5 leads by +4.8
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GPT-5
60.7
Kimi K2.6
55.9
Full benchmark table
| Benchmark | GPT-5 | Kimi K2.6 |
|---|---|---|
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 37.0 | 26.0 |
FrontierMath-2025-02-28-Private FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning. | 32.4 | 39.0 |
FrontierMath-Tier-4-2025-07-01-Private FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning. | 12.5 | 14.6 |
FrontierMath-Tier-4-v2-Private | 21.9 | 25.6 |
FrontierMath-Tiers-1-3-v2-Private | 55.4 | 57.2 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 81.6 | 87.7 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 91.4 | 96.1 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 50.6 | 38.7 |
SWE-Bench verified SWE-bench Verified · 500 human-validated tasks from 12 real Python repositories (Django, Flask, scikit-learn, sympy, and others). Each task requires the model to produce a git patch that resolves a real GitHub issue and passes the test suite. The verified subset eliminates ambiguous tasks from the original SWE-bench. Claude Mythos Preview leads at 93.9%, crossing 90% for the first time in 2026. Opus 4.6 scores 80.8%. The benchmark remains the most-cited evaluation for code-generation capability. | 73.5 | 76.7 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 60.7 | 55.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens