Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Grok 4.7 vs Gemini 3.8 Flash: benchmark scores, pricing & comparison.
Side-by-side Grok 4.7 vs Gemini 3.8 Flash 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 (#28 vs #30) and wins 4 of 5 shared benchmarks.
Rank #28 vs #30AskClash overall scores 51.6 vs 51.4.
Pricing $2.00/$6.00 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs Google.
Grok 4.7 vs Gemini 3.8 Flash benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Grok 4.7 | Gemini 3.8 Flash |
|---|---|---|
| Overall Score | 51.6 | 51.4 |
| Leaderboard Rank | #28 | #30 |
| ACB | 66.4 | 64.2 |
| AutomationBench-AA | 65.6 | — |
| Coding Agent Index | 46.6 | 33.3 |
| HLE | — | 54.9 |
| SWE-Atlas | 62.9 | 44.4 |
| Terminal-Bench 4.0 | 25.8 | 19.7 |
| DeepSWE | — | 73.8 |
| GDPval-AA | — | 1545.0 |
| Finance Agent v2.1 | 60.6 | 65.8 |
| CharXiv | — | 86.2 |
| Input Price (per 1M tokens) | $2.00 | $1.50 |
| Output Price (per 1M tokens) | $6.00 | $7.50 |
| Context Window | 500K | 1M |
| Benchmarks Published | 7 | 9 |
Gemini 3.8 Flash: its ACB is a provisional diagnostic result.
Grok 4.7 vs Gemini 3.8 Flash head-to-head charts
Grok 4.7 leads 4 and Gemini 3.8 Flash leads 1 of 5 shared benchmarks. Gemini 3.8 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Grok 4.7Gemini 3.8 Flash
Overall
ACB
Coding Agent Index
SWE-Atlas
Terminal-Bench 4.0
Finance Agent v2.1
Grok 4.7
Input$2.00
Output$6.00
Workload$3.20
Context500K
Gemini 3.8 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
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How to read this comparison
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.