LLM Comparison

GPT-5.6 Terra vs GPT-5.4: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Terra vs GPT-5.4 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 #11 vs #14AskClash overall scores 68.9 vs 64.7.
Pricing $2.50/$15.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-5.6 Terra vs GPT-5.4 benchmark comparison

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

MetricGPT-5.6 TerraGPT-5.4
Overall Score68.964.7
Leaderboard Rank#11#14
RWT8.58.0
Coding Agent Index77.039.1
HLE52.1
GPQA92.992.8
SWE-Pro63.457.7
SWE-Atlas81.0
Terminal-Bench87.475.1
DeepSWE69.651.8
OSWorld75.0
MCP Atlas70.6
Finance Agent52.4
CharXiv82.8
MMMU-Pro80.781.2
ARC-AGI 283.974.0
Tau286.398.9
MRCR89.697.3
Input Price (per 1M tokens)$2.50$2.50
Output Price (per 1M tokens)$15.0$15.0
Context Window1M1M
Benchmarks Published1415

GPT-5.6 Terra vs GPT-5.4 head-to-head charts

GPT-5.6 Terra leads 8 and GPT-5.4 leads 3 of 11 shared benchmarks. Charts show only benchmarks both models publish.

GPT-5.6 TerraGPT-5.4
Overall
68.9GPT-5.6 Terra
64.7GPT-5.4
RWT
8.5GPT-5.6 Terra
8.0GPT-5.4
Coding Agent Index
77.0GPT-5.6 Terra
39.1GPT-5.4
GPQA
92.9GPT-5.6 Terra
92.8GPT-5.4
SWE-Pro
63.4GPT-5.6 Terra
57.7GPT-5.4
Terminal-Bench
87.4GPT-5.6 Terra
75.1GPT-5.4
DeepSWE
69.6GPT-5.6 Terra
51.8GPT-5.4
MMMU-Pro
80.7GPT-5.6 Terra
81.2GPT-5.4
ARC-AGI 2
83.9GPT-5.6 Terra
74.0GPT-5.4
Tau2
86.3GPT-5.6 Terra
98.9GPT-5.4
MRCR
89.6GPT-5.6 Terra
97.3GPT-5.4
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M
GPT-5.4
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-5.6 Terra and GPT-5.4 comparisons

Explore how GPT-5.6 Terra and GPT-5.4 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.