Compare · ModelsLive · 2 picked · head to head
Grok 4.6 vs Kimi K2.7 Code
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Grok 4.6 wins on 11/11 benchmarks
Grok 4.6 wins 11 of 11 shared benchmarks. Leads in agentic · knowledge · coding.
Category leads
agentic·Grok 4.6knowledge·Grok 4.6coding·Grok 4.6math·Grok 4.6reasoning·Grok 4.6
Hype vs Reality
Attention vs performance
Grok 4.6
#74 by perf·#14 by attention
Kimi K2.7 Code
#78 by perf·#15 by attention
Best value
Kimi K2.7 Code
1.9x better value than Grok 4.6
Grok 4.6
14.2 pts/$
$4.00/M
Kimi K2.7 Code
27.4 pts/$
$2.05/M
Vendor risk
Who is behind the model
xAI
$250.0B·Tier 1
Moonshot AI
$50.0B·Tier 1
Head to head
11 benchmarks · 2 models
Grok 4.6Kimi K2.7 Code
APEX-Agents
Grok 4.6 leads by +27.7
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Grok 4.6
65.3
Kimi K2.7 Code
37.6
Chess Puzzles
Grok 4.6 leads by +20.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Grok 4.6
29.5
Kimi K2.7 Code
9.5
Deepswe
Grok 4.6 leads by +37.0
Grok 4.6
67.5
Kimi K2.7 Code
30.5
Frontiercode
Grok 4.6 leads by +17.9
Grok 4.6
48.0
Kimi K2.7 Code
30.1
FrontierMath-Tier-4-v2-Private
Grok 4.6 leads by +19.5
Grok 4.6
31.7
Kimi K2.7 Code
12.2
FrontierMath-Tiers-1-3-v2-Private
Grok 4.6 leads by +12.6
Grok 4.6
69.4
Kimi K2.7 Code
56.9
GPQA diamond
Grok 4.6 leads by +8.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Grok 4.6
95.8
Kimi K2.7 Code
87.3
OTIS Mock AIME 2024-2025
Grok 4.6 leads by +3.6
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Grok 4.6
99.2
Kimi K2.7 Code
95.5
SimpleBench
Grok 4.6 leads by +21.6
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Grok 4.6
71.1
Kimi K2.7 Code
49.5
SimpleQA Verified
Grok 4.6 leads by +12.8
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Grok 4.6
49.3
Kimi K2.7 Code
36.5
WeirdML
Grok 4.6 leads by +13.2
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Grok 4.6
67.3
Kimi K2.7 Code
54.1
Full benchmark table
| Benchmark | Grok 4.6 | Kimi K2.7 Code |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 65.3 | 37.6 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 29.5 | 9.5 |
Deepswe | 67.5 | 30.5 |
Frontiercode | 48.0 | 30.1 |
FrontierMath-Tier-4-v2-Private | 31.7 | 12.2 |
FrontierMath-Tiers-1-3-v2-Private | 69.4 | 56.9 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 95.8 | 87.3 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 99.2 | 95.5 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 71.1 | 49.5 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 49.3 | 36.5 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 67.3 | 54.1 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.00 | $6.00 | 500K tokens (~250 books) | $30.00 | |
| $0.60 | $3.50 | 262K tokens (~131 books) | $13.25 |