LLM Comparison

GPT-6 Astra vs GPT-6.1 Sol: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs GPT-6.1 Sol 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: GPT-6 Astra ranks higher (#7 vs #30); GPT-6.1 Sol costs less ($2.00/$10.0 vs $10.0/$50.0 per 1M tokens).

Rank #7 vs #30AskClash overall scores 72.0 vs 58.1.
Pricing $10.0/$50.0 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-6 Astra vs GPT-6.1 Sol benchmark comparison

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

MetricGPT-6 AstraGPT-6.1 Sol
Overall Score72.058.1
Leaderboard Rank#7#30
ACB64.561.9
RWT9.5—
Coding Agent Index67.0—
HLE57.2—
GPQA96.0—
SWE-Atlas61.8—
Terminal-Bench88.4—
DeepSWE73.275.2
GDPval-AA1629.3—
Finance Agent53.5—
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$10.0
Context Window1.05M1.05M
Benchmarks Published143

GPT-6 Astra vs GPT-6.1 Sol head-to-head charts

GPT-6 Astra leads 2 and GPT-6.1 Sol leads 1 of 3 shared benchmarks. GPT-6.1 Sol is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraGPT-6.1 Sol
Overall
72.0GPT-6 Astra
58.1GPT-6.1 Sol
ACB
64.5GPT-6 Astra
61.9GPT-6.1 Sol
DeepSWE
73.2GPT-6 Astra
75.2GPT-6.1 Sol
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M

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

More GPT-6 Astra and GPT-6.1 Sol comparisons

Explore how GPT-6 Astra and GPT-6.1 Sol 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.