LLM Comparison

GPT-6 Astra vs Grok 4.6: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Grok 4.6 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 #3 vs #6AskClash overall scores 69.2 vs 65.3.
Pricing $10.0/$50.0 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs xAI.

GPT-6 Astra vs Grok 4.6 benchmark comparison

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

MetricGPT-6 AstraGrok 4.6
Overall Score69.265.3
Leaderboard Rank#3#6
ACB64.569.0
RWT9.59.0
Coding Agent Index67.0
HLE57.2
GPQA96.094.9
Terminal-Bench88.488.4
DeepSWE73.265.9
GDPval-AA1629.31753.0
Finance Agent53.553.7
MMMU-Pro87.0
ARC-AGI 295.0
MRCR100.0
Input Price (per 1M tokens)$10.0$2.00
Output Price (per 1M tokens)$50.0$6.00
Context Window1M500K
Benchmarks Published127

GPT-6 Astra vs Grok 4.6 head-to-head charts

GPT-6 Astra leads 4 and Grok 4.6 leads 3 of 8 shared benchmarks. Grok 4.6 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraGrok 4.6
Overall
69.2GPT-6 Astra
65.3Grok 4.6
ACB
64.5GPT-6 Astra
69.0Grok 4.6
RWT
9.5GPT-6 Astra
9.0Grok 4.6
GPQA
96.0GPT-6 Astra
94.9Grok 4.6
Terminal-Bench
88.4GPT-6 Astra
88.4Grok 4.6
DeepSWE
73.2GPT-6 Astra
65.9Grok 4.6
GDPval-AA
1629.3GPT-6 Astra
1753.0Grok 4.6
Finance Agent
53.5GPT-6 Astra
53.7Grok 4.6
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1M
Grok 4.6
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 GPT-6 Astra and Grok 4.6 comparisons

Explore how GPT-6 Astra and Grok 4.6 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.