LLM Comparison

GPT-5.6 Terra vs GPT-5.3 Codex: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Terra vs GPT-5.3 Codex 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 #10 vs #34AskClash overall scores 71.5 vs 41.2.
Pricing $2.50/$15.0 vs $1.75/$14.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-5.6 Terra vs GPT-5.3 Codex benchmark comparison

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

MetricGPT-5.6 TerraGPT-5.3 Codex
Overall Score71.541.2
Leaderboard Rank#10#34
ACB56.4
RWT8.58.0
Coding Agent Index77.0
GPQA92.9
SWE-bench85.0
SWE-Pro63.456.8
SWE-Atlas81.0
Terminal-Bench87.477.3
DeepSWE69.6
OSWorld64.7
Finance Agent54.4
MMMU-Pro80.7
ARC-AGI 283.9
Tau286.386.0
MRCR89.6
Input Price (per 1M tokens)$2.50$1.75
Output Price (per 1M tokens)$15.0$14.0
Context Window1M400K
Benchmarks Published145

GPT-5.6 Terra vs GPT-5.3 Codex head-to-head charts

GPT-5.6 Terra leads 5 and GPT-5.3 Codex leads 0 of 5 shared benchmarks. GPT-5.3 Codex is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraGPT-5.3 Codex
Overall
71.5GPT-5.6 Terra
41.2GPT-5.3 Codex
RWT
8.5GPT-5.6 Terra
8.0GPT-5.3 Codex
SWE-Pro
63.4GPT-5.6 Terra
56.8GPT-5.3 Codex
Terminal-Bench
87.4GPT-5.6 Terra
77.3GPT-5.3 Codex
Tau2
86.3GPT-5.6 Terra
86.0GPT-5.3 Codex
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M
GPT-5.3 Codex
Input$1.75
Output$14.0
Workload$4.55
Context400K

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

More GPT-5.6 Terra and GPT-5.3 Codex comparisons

Explore how GPT-5.6 Terra and GPT-5.3 Codex 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.