LLM Comparison

Grok 4.5 vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side Grok 4.5 vs GPT-5.5 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Rank #5 vs #10AskClash overall scores 78.7 vs 75.5.
Pricing $2.00/$6.00 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs OpenAI.

Grok 4.5 vs GPT-5.5 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGrok 4.5GPT-5.5
Overall Score78.775.5
Leaderboard Rank#5#10
RWT9.08.0
Coding Agent Index76.456.6
HLE40.352.2
GPQA93.193.6
SWE-Pro64.758.6
SWE-Atlas83.9
Terminal-Bench83.382.7
DeepSWE67.0
OSWorld78.7
MCP Atlas75.3
Finance Agent51.8
MMMU-Pro80.481.2
ARC-AGI 285.0
Tau298.0
Input Price (per 1M tokens)$2.00$5.00
Output Price (per 1M tokens)$6.00$30.0
Context Window500K1M
Benchmarks Published913

Grok 4.5 vs GPT-5.5 head-to-head charts

Grok 4.5 leads 5 and GPT-5.5 leads 3 of 8 shared benchmarks. Grok 4.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.5GPT-5.5
Overall
78.7Grok 4.5
75.5GPT-5.5
RWT
9.0Grok 4.5
8.0GPT-5.5
Coding Agent Index
76.4Grok 4.5
56.6GPT-5.5
HLE
40.3Grok 4.5
52.2GPT-5.5
GPQA
93.1Grok 4.5
93.6GPT-5.5
SWE-Pro
64.7Grok 4.5
58.6GPT-5.5
Terminal-Bench
83.3Grok 4.5
82.7GPT-5.5
MMMU-Pro
80.4Grok 4.5
81.2GPT-5.5
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Grok 4.5 and GPT-5.5 comparisons

Explore how Grok 4.5 and GPT-5.5 stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.