Compare · ModelsLive · 2 picked · head to head
Claude Sonnet 4.5 vs Grok 4
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Grok 4 wins on 8/13 benchmarks
Grok 4 wins 8 of 13 shared benchmarks. Leads in reasoning · knowledge · math.
Category leads
reasoning·Grok 4knowledge·Grok 4coding·Claude Sonnet 4.5math·Grok 4
Hype vs Reality
Attention vs performance
Claude Sonnet 4.5
#130 by perf·no signal
Grok 4
#71 by perf·no signal
Best value
Grok 4
1.3x better value than Claude Sonnet 4.5
Claude Sonnet 4.5
4.7 pts/$
$9.00/M
Grok 4
6.1 pts/$
$9.00/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
xAI
$250.0B·Tier 1
Head to head
13 benchmarks · 2 models
Claude Sonnet 4.5Grok 4
ARC-AGI
Grok 4 leads by +3.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Sonnet 4.5
63.7
Grok 4
66.7
ARC-AGI-2
Grok 4 leads by +2.4
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Claude Sonnet 4.5
13.6
Grok 4
16.0
Chess Puzzles
Grok 4 leads by +16.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Sonnet 4.5
12.0
Grok 4
28.0
Cybench
Claude Sonnet 4.5 leads by +17.0
Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning.
Claude Sonnet 4.5
60.0
Grok 4
43.0
DeepResearch Bench
Claude Sonnet 4.5 leads by +4.7
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
Claude Sonnet 4.5
52.6
Grok 4
47.9
FrontierMath-2025-02-28-Private
Grok 4 leads by +4.4
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Claude Sonnet 4.5
15.2
Grok 4
19.7
FrontierMath-Tier-4-2025-07-01-Private
Claude Sonnet 4.5 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.
Claude Sonnet 4.5
4.2
Grok 4
2.1
GPQA diamond
Grok 4 leads by +6.2
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Sonnet 4.5
76.4
Grok 4
82.7
OTIS Mock AIME 2024-2025
Grok 4 leads by +6.2
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Sonnet 4.5
77.8
Grok 4
84.0
SimpleBench
Grok 4 leads by +7.4
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Sonnet 4.5
45.2
Grok 4
52.6
SimpleQA Verified
Grok 4 leads by +24.3
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Sonnet 4.5
23.6
Grok 4
47.9
Terminal Bench
Claude Sonnet 4.5 leads by +19.3
Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency.
Claude Sonnet 4.5
46.5
Grok 4
27.2
WeirdML
Claude Sonnet 4.5 leads by +2.0
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Sonnet 4.5
47.7
Grok 4
45.7
Full benchmark table
| Benchmark | Claude Sonnet 4.5 | Grok 4 |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 63.7 | 66.7 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 13.6 | 16.0 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 12.0 | 28.0 |
Cybench Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning. | 60.0 | 43.0 |
DeepResearch Bench DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses. | 52.6 | 47.9 |
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. | 15.2 | 19.7 |
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. | 4.2 | 2.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 76.4 | 82.7 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 77.8 | 84.0 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 45.2 | 52.6 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 23.6 | 47.9 |
Terminal Bench Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency. | 46.5 | 27.2 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 47.7 | 45.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $3.00 | $15.00 | 1.0M tokens (~500 books) | $60.00 | |
| $3.00 | $15.00 | 256K tokens (~128 books) | $60.00 |