LLM Comparison

GPT-5.6 Sol vs GPT-6 Astra: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Sol vs GPT-6 Astra 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 #7AskClash overall scores 68.6 vs 64.9.
Pricing $5.00/$30.0 vs $10.0/$50.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-5.6 Sol vs GPT-6 Astra benchmark comparison

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

MetricGPT-5.6 SolGPT-6 Astra
Overall Score68.664.9
Leaderboard Rank#3#7
ACB63.2
RWT9.59.5
Coding Agent Index80.067.0
HLE47.257.2
GPQA94.196.0
SWE-Pro64.6
SWE-Atlas84.0
Terminal-Bench88.8
DeepSWE72.774.1
GDPval-AA1748.0
Finance Agent53.8
MMMU-Pro83.0
ARC-AGI 292.595.0
Tau285.1
MRCR91.5100.0
Input Price (per 1M tokens)$5.00$10.0
Output Price (per 1M tokens)$30.0$50.0
Context Window1M1M
Benchmarks Published157

GPT-5.6 Sol vs GPT-6 Astra head-to-head charts

GPT-5.6 Sol leads 2 and GPT-6 Astra leads 5 of 8 shared benchmarks. GPT-5.6 Sol is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolGPT-6 Astra
Overall
68.6GPT-5.6 Sol
64.9GPT-6 Astra
RWT
9.5GPT-5.6 Sol
9.5GPT-6 Astra
Coding Agent Index
80.0GPT-5.6 Sol
67.0GPT-6 Astra
HLE
47.2GPT-5.6 Sol
57.2GPT-6 Astra
GPQA
94.1GPT-5.6 Sol
96.0GPT-6 Astra
DeepSWE
72.7GPT-5.6 Sol
74.1GPT-6 Astra
ARC-AGI 2
92.5GPT-5.6 Sol
95.0GPT-6 Astra
MRCR
91.5GPT-5.6 Sol
100.0GPT-6 Astra
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
Context1M
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1M

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

More GPT-5.6 Sol and GPT-6 Astra comparisons

Explore how GPT-5.6 Sol and GPT-6 Astra 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.