LLM Comparison

Gemini 4 Carbon vs Grok 4.7: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Carbon vs Grok 4.7 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: Gemini 4 Carbon ranks higher (#5 vs #29) and wins 5 of 5 shared benchmarks; Grok 4.7 costs less ($2.00/$6.00 vs $4.00/$20.0 per 1M tokens).

Rank #5 vs #29AskClash overall scores 73.8 vs 51.5.
Pricing $4.00/$20.0 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs xAI.

Gemini 4 Carbon vs Grok 4.7 benchmark comparison

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

MetricGemini 4 CarbonGrok 4.7
Overall Score73.851.5
Leaderboard Rank#5#29
ACB80.866.4
Coding Agent Index59.446.6
HLE60.4—
SWE-Atlas63.762.9
Terminal-Bench65.225.8
GDPval-AA1732.7—
Finance Agent67.260.6
Input Price (per 1M tokens)$4.00$2.00
Output Price (per 1M tokens)$20.0$6.00
Context Window1M500K
Benchmarks Published107

Gemini 4 Carbon vs Grok 4.7 head-to-head charts

Gemini 4 Carbon leads 6 and Grok 4.7 leads 0 of 6 shared benchmarks. Grok 4.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 CarbonGrok 4.7
Overall
73.8Gemini 4 Carbon
51.5Grok 4.7
ACB
80.8Gemini 4 Carbon
66.4Grok 4.7
Coding Agent Index
59.4Gemini 4 Carbon
46.6Grok 4.7
SWE-Atlas
63.7Gemini 4 Carbon
62.9Grok 4.7
Terminal-Bench
65.2Gemini 4 Carbon
25.8Grok 4.7
Finance Agent
67.2Gemini 4 Carbon
60.6Grok 4.7
Gemini 4 Carbon
Input$4.00
Output$20.0
Workload$8.00
Context1M
Grok 4.7
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 Gemini 4 Carbon and Grok 4.7 comparisons

Explore how Gemini 4 Carbon and Grok 4.7 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.