How do GPT-5.6 Terra and Qwen3.7 Plus 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 Qwen3.7 Plus when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or Qwen3.7 Plus?

AskClash compares GPT-5.6 Terra and Qwen3.7 Plus side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.6 Terra vs Qwen3.7 Plus 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 Qwen3.7 Plus model page

Rank #8 vs #21AskClash overall scores 76.3 vs 55.7.

Pricing $2.50/$15.0 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Alibaba.

GPT-5.6 Terra vs Qwen3.7 Plus 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	Qwen3.7 Plus
Overall Score	76.3	55.7
Leaderboard Rank	#8	#21
RWT	8.5	7.5
Coding Agent Index	77.0	—
HLE	—	34.7
GPQA	92.9	90.3
IFEval	—	94.6
SWE-bench	—	77.7
SWE-Pro	63.4	57.6
SWE-Atlas	81.0	—
Terminal-Bench	87.4	70.3
DeepSWE	69.6	—
OSWorld	—	73.3
MCP Atlas	—	73.2
Finance Agent	52.4	38.2
CharXiv	—	85.9
MMMU-Pro	80.7	79.0
ARC-AGI 2	83.9	—
Tau2	86.3	93.0
MRCR	89.6	91.7
Input Price (per 1M tokens)	$2.50	$0.40
Output Price (per 1M tokens)	$15.0	$1.60
Context Window	1M	1M
Benchmarks Published	13	15

GPT-5.6 Terra vs Qwen3.7 Plus head-to-head charts

GPT-5.6 Terra leads 7 and Qwen3.7 Plus leads 2 of 9 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraQwen3.7 Plus

Overall

76.3GPT-5.6 Terra

55.7Qwen3.7 Plus

RWT

8.5GPT-5.6 Terra

7.5Qwen3.7 Plus

GPQA

92.9GPT-5.6 Terra

90.3Qwen3.7 Plus

SWE-Pro

63.4GPT-5.6 Terra

57.6Qwen3.7 Plus

Terminal-Bench

87.4GPT-5.6 Terra

70.3Qwen3.7 Plus

Finance Agent

52.4GPT-5.6 Terra

38.2Qwen3.7 Plus

MMMU-Pro

80.7GPT-5.6 Terra

79.0Qwen3.7 Plus

Tau2

86.3GPT-5.6 Terra

93.0Qwen3.7 Plus

MRCR

89.6GPT-5.6 Terra

91.7Qwen3.7 Plus

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

Qwen3.7 Plus

Input$0.40

Output$1.60

Workload$0.72

Context1M

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

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Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs Qwen3.7 Plus GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs Qwen3.7 Plus Kimi K3 vs GPT-5.6 Terra Kimi K3 vs Qwen3.7 Plus Claude Opus 4.8 vs GPT-5.6 Terra Claude Opus 4.8 vs Qwen3.7 Plus Grok 4.5 vs GPT-5.6 Terra Grok 4.5 vs Qwen3.7 Plus

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.