LLM Comparison

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

Side-by-side GPT-5.6 Terra vs GPT-5.6 Luna 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.

Open live leaderboardGPT-5.6 Terra model pageGPT-5.6 Luna model page
Rank #8 vs #13AskClash overall scores 76.3 vs 67.9.
Pricing $2.50/$15.0 vs $1.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-5.6 Terra vs GPT-5.6 Luna benchmark comparison

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

MetricGPT-5.6 TerraGPT-5.6 Luna
Overall Score76.367.9
Leaderboard Rank#8#13
RWT8.59.5
Coding Agent Index77.075.0
GPQA92.992.3
SWE-Pro63.462.7
SWE-Atlas81.081.0
Terminal-Bench87.484.7
DeepSWE69.667.2
Finance Agent52.455.0
MMMU-Pro80.778.4
ARC-AGI 283.959.5
Tau286.3—
MRCR89.641.3
Input Price (per 1M tokens)$2.50$1.00
Output Price (per 1M tokens)$15.0$6.00
Context Window1M1M
Benchmarks Published1312

GPT-5.6 Terra vs GPT-5.6 Luna head-to-head charts

GPT-5.6 Terra leads 9 and GPT-5.6 Luna leads 2 of 12 shared benchmarks. GPT-5.6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraGPT-5.6 Luna
Overall
76.3GPT-5.6 Terra
67.9GPT-5.6 Luna
RWT
8.5GPT-5.6 Terra
9.5GPT-5.6 Luna
Coding Agent Index
77.0GPT-5.6 Terra
75.0GPT-5.6 Luna
GPQA
92.9GPT-5.6 Terra
92.3GPT-5.6 Luna
SWE-Pro
63.4GPT-5.6 Terra
62.7GPT-5.6 Luna
SWE-Atlas
81.0GPT-5.6 Terra
81.0GPT-5.6 Luna
Terminal-Bench
87.4GPT-5.6 Terra
84.7GPT-5.6 Luna
DeepSWE
69.6GPT-5.6 Terra
67.2GPT-5.6 Luna
Finance Agent
52.4GPT-5.6 Terra
55.0GPT-5.6 Luna
MMMU-Pro
80.7GPT-5.6 Terra
78.4GPT-5.6 Luna
ARC-AGI 2
83.9GPT-5.6 Terra
59.5GPT-5.6 Luna
MRCR
89.6GPT-5.6 Terra
41.3GPT-5.6 Luna
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M
GPT-5.6 Luna
Input$1.00
Output$6.00
Workload$2.20
Context1M

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

More GPT-5.6 Terra and GPT-5.6 Luna comparisons

Explore how GPT-5.6 Terra and GPT-5.6 Luna stack up against other top-ranked LLMs.

Claude Fable 5 vs GPT-5.6 TerraClaude Fable 5 vs GPT-5.6 LunaGPT-5.6 Sol vs GPT-5.6 TerraGPT-5.6 Sol vs GPT-5.6 LunaKimi K3 vs GPT-5.6 TerraKimi K3 vs GPT-5.6 LunaClaude Opus 4.8 vs GPT-5.6 TerraClaude Opus 4.8 vs GPT-5.6 LunaGrok 4.5 vs GPT-5.6 TerraGrok 4.5 vs GPT-5.6 Luna

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.