How do GPT-5.6 Terra and SWE-2 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Terra and SWE-2 when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs SWE-2: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or SWE-2?

AskClash compares GPT-5.6 Terra and SWE-2 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.6 Terra vs SWE-2 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 leaderboard GPT-5.6 Terra model page SWE-2 model page

Rank #12 vs #24AskClash overall scores 64.6 vs 59.7.

Pricing $2.50/$15.0 vs $0/$0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Cognition.

GPT-5.6 Terra vs SWE-2 benchmark comparison

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

Metric	GPT-5.6 Terra	SWE-2
Overall Score	64.6	59.7
Leaderboard Rank	#12	#24
ACB	56.4	60.0
RWT	8.5	8.5
Coding Agent Index	77.0	—
HLE	42.9	—
GPQA	92.9	—
IFEval	71.2	—
SWE-Pro	63.4	—
SWE-Atlas	81.0	—
Terminal-Bench	87.4	92.8
DeepSWE	69.6	73.0
GDPval-AA	1593.0	—
Finance Agent	54.4	—
MMMU-Pro	80.7	—
ARC-AGI 2	83.9	—
Tau2	86.3	—
MRCR	89.6	—
Input Price (per 1M tokens)	$2.50	$0
Output Price (per 1M tokens)	$15.0	$0
Context Window	1M	256K
Benchmarks Published	16	3

GPT-5.6 Terra vs SWE-2 head-to-head charts

GPT-5.6 Terra leads 1 and SWE-2 leads 3 of 5 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraSWE-2

Overall

64.6GPT-5.6 Terra

59.7SWE-2

ACB

56.4GPT-5.6 Terra

60.0SWE-2

RWT

8.5GPT-5.6 Terra

8.5SWE-2

Terminal-Bench

87.4GPT-5.6 Terra

92.8SWE-2

DeepSWE

69.6GPT-5.6 Terra

73.0SWE-2

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

SWE-2

Input$0

Output$0

Workload$0.00

Context256K

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

More GPT-5.6 Terra and SWE-2 comparisons

Explore how GPT-5.6 Terra and SWE-2 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-5.6 Terra Claude Fable 5.1 vs SWE-2 Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs SWE-2 Claude Opus 5 vs GPT-5.6 Terra Claude Opus 5 vs SWE-2 GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs SWE-2 Qwen3.8 Max vs GPT-5.6 Terra Qwen3.8 Max vs SWE-2

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.