LLM Comparison

Grok 4.7 vs Grok 4.5: benchmark scores, pricing & comparison.

Side-by-side Grok 4.7 vs Grok 4.5 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.

Verdict: Grok 4.7 ranks higher (#33 vs #34) and wins 2 of 2 shared benchmarks.

Open live leaderboardGrok 4.7 model pageGrok 4.5 model page
Rank #33 vs #34AskClash overall scores 49.9 vs 49.1.
Pricing $2.00/$6.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs xAI.

Grok 4.7 vs Grok 4.5 benchmark comparison

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

MetricGrok 4.7Grok 4.5
Overall Score49.949.1
Leaderboard Rank#33#34
ACB66.457.6
RWT—9.0
Coding Agent Index—76.4
HLE—40.3
GPQA—93.1
SWE-Pro—64.7
SWE-Atlas—83.9
Terminal-Bench25.810.6
GDPval-AA—1542.8
Finance Agent—48.3
MMMU-Pro—80.4
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$6.00$6.00
Context Window500K500K
Benchmarks Published411

Grok 4.7 vs Grok 4.5 head-to-head charts

Grok 4.7 leads 3 and Grok 4.5 leads 0 of 3 shared benchmarks. Charts show only benchmarks both models publish.

Grok 4.7Grok 4.5
Overall
49.9Grok 4.7
49.1Grok 4.5
ACB
66.4Grok 4.7
57.6Grok 4.5
Terminal-Bench
25.8Grok 4.7
10.6Grok 4.5
Grok 4.7
Input$2.00
Output$6.00
Workload$3.20
Context500K
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K

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

More Grok 4.7 and Grok 4.5 comparisons

Explore how Grok 4.7 and Grok 4.5 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Grok 4.7Claude Opus 5.5 vs Grok 4.5Claude Sonnet 5.5 vs Grok 4.7Claude Sonnet 5.5 vs Grok 4.5Claude Fable 5.1 vs Grok 4.7Claude Fable 5.1 vs Grok 4.5Claude Opus 5 vs Grok 4.7Claude Opus 5 vs Grok 4.5Claude Fable 5 vs Grok 4.7Claude Fable 5 vs Grok 4.5

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.