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

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

LLM Comparison

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

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

AskClash compares SWE-2 and GPT-5.6 Terra 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 SWE-2 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.

Open live leaderboard SWE-2 model page GPT-5.6 Terra model page

Rank #10 vs #13AskClash overall scores 66.3 vs 64.6.

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

Proprietary vs ProprietaryCognition vs OpenAI.

SWE-2 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.

Metric	SWE-2	GPT-5.6 Terra
Overall Score	66.3	64.6
Leaderboard Rank	#10	#13
ACB	60.0	56.4
RWT	8.5	8.5
Coding Agent Index	51.9	77.0
HLE	43.5	42.9
GPQA	93.5	92.9
IFEval	—	71.2
SWE-Pro	—	63.4
SWE-Atlas	66.1	81.0
Terminal-Bench	92.8	87.4
DeepSWE	73.0	69.6
GDPval-AA	1668.0	1593.0
MCP Atlas	84.2	—
Finance Agent	54.4	54.4
CharXiv	84.8	—
MMMU-Pro	81.6	80.7
ARC-AGI 2	—	83.9
Tau2	—	86.3
MRCR	—	89.6
Input Price (per 1M tokens)	$0	$2.50
Output Price (per 1M tokens)	$0	$15.0
Context Window	256K	1M
Benchmarks Published	13	16

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

SWE-2 leads 8 and GPT-5.6 Terra leads 3 of 12 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-2GPT-5.6 Terra

Overall

66.3SWE-2

64.6GPT-5.6 Terra

ACB

60.0SWE-2

56.4GPT-5.6 Terra

RWT

8.5SWE-2

8.5GPT-5.6 Terra

Coding Agent Index

51.9SWE-2

77.0GPT-5.6 Terra

HLE

43.5SWE-2

42.9GPT-5.6 Terra

GPQA

93.5SWE-2

92.9GPT-5.6 Terra

SWE-Atlas

66.1SWE-2

81.0GPT-5.6 Terra

Terminal-Bench

92.8SWE-2

87.4GPT-5.6 Terra

DeepSWE

73.0SWE-2

69.6GPT-5.6 Terra

GDPval-AA

1668.0SWE-2

1593.0GPT-5.6 Terra

Finance Agent

54.4SWE-2

54.4GPT-5.6 Terra

MMMU-Pro

81.6SWE-2

80.7GPT-5.6 Terra

SWE-2

Input$0

Output$0

Workload$0.00

Context256K

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 SWE-2 and GPT-5.6 Terra comparisons

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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.