LLM Comparison

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

Side-by-side GPT-6 Astra vs GPT-5.6 Terra 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 #7 vs #15AskClash overall scores 64.9 vs 60.0.
Pricing $10.0/$50.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-6 Astra vs GPT-5.6 Terra benchmark comparison

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

MetricGPT-6 AstraGPT-5.6 Terra
Overall Score64.960.0
Leaderboard Rank#7#15
ACB56.4
RWT9.58.5
Coding Agent Index67.077.0
HLE57.2
GPQA96.092.9
SWE-Pro63.4
SWE-Atlas81.0
Terminal-Bench87.4
DeepSWE74.169.6
GDPval-AA1593.0
Finance Agent54.4
MMMU-Pro80.7
ARC-AGI 295.083.9
Tau286.3
MRCR100.089.6
Input Price (per 1M tokens)$10.0$2.50
Output Price (per 1M tokens)$50.0$15.0
Context Window1M1M
Benchmarks Published714

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

GPT-6 Astra leads 6 and GPT-5.6 Terra leads 1 of 7 shared benchmarks. GPT-5.6 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraGPT-5.6 Terra
Overall
64.9GPT-6 Astra
60.0GPT-5.6 Terra
RWT
9.5GPT-6 Astra
8.5GPT-5.6 Terra
Coding Agent Index
67.0GPT-6 Astra
77.0GPT-5.6 Terra
GPQA
96.0GPT-6 Astra
92.9GPT-5.6 Terra
DeepSWE
74.1GPT-6 Astra
69.6GPT-5.6 Terra
ARC-AGI 2
95.0GPT-6 Astra
83.9GPT-5.6 Terra
MRCR
100.0GPT-6 Astra
89.6GPT-5.6 Terra
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1M
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M

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

More GPT-6 Astra and GPT-5.6 Terra comparisons

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