Which is better: GPT-6.1 Terra or Qwen3.7 Plus?

Verdict: GPT-6.1 Terra ranks higher (#35 vs #129) and wins 2 of 3 shared benchmarks; Qwen3.7 Plus costs less ($0.40/$1.60 vs $1.00/$5.00 per 1M tokens). AskClash compares GPT-6.1 Terra and Qwen3.7 Plus 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.

How do GPT-6.1 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-6.1 Terra and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

GPT-6.1 Terra vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 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.

Verdict: GPT-6.1 Terra ranks higher (#35 vs #129) and wins 2 of 3 shared benchmarks; Qwen3.7 Plus costs less ($0.40/$1.60 vs $1.00/$5.00 per 1M tokens).

Open live leaderboard GPT-6.1 Terra model page Qwen3.7 Plus model page

Rank #35 vs #129AskClash overall scores 61.7 vs 36.4.

Pricing $1.00/$5.00 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Alibaba.

GPT-6.1 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-6.1 Terra	Qwen3.7 Plus
Overall Score	61.7	36.4
Leaderboard Rank	#35	#129
ACB	62.1	—
RWT	—	7.5
HLE	46.2	34.7
GPQA	—	90.3
IFEval	—	94.6
SWE-bench	—	77.7
SWE-Pro	—	57.6
Terminal-Bench	55.6	—
GDPval-AA	1467.6	1522.1
OSWorld	—	73.3
MCP Atlas	—	73.2
Finance Agent	—	38.2
CharXiv	—	85.9
MMMU-Pro	84.7	79.0
Tau2	—	93.0
MRCR	—	91.7
Input Price (per 1M tokens)	$1.00	$0.40
Output Price (per 1M tokens)	$5.00	$1.60
Context Window	1.05M	1M
Benchmarks Published	8	11

GPT-6.1 Terra vs Qwen3.7 Plus head-to-head charts

GPT-6.1 Terra leads 3 and Qwen3.7 Plus leads 1 of 4 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 TerraQwen3.7 Plus

Overall

61.7GPT-6.1 Terra

36.4Qwen3.7 Plus

HLE

46.2GPT-6.1 Terra

34.7Qwen3.7 Plus

GDPval-AA

1467.6GPT-6.1 Terra

1522.1Qwen3.7 Plus

MMMU-Pro

84.7GPT-6.1 Terra

79.0Qwen3.7 Plus

GPT-6.1 Terra

Input$1.00

Output$5.00

Workload$2.00

Context1.05M

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.

More GPT-6.1 Terra and Qwen3.7 Plus comparisons

Explore how GPT-6.1 Terra and Qwen3.7 Plus stack up against other top-ranked LLMs.

Kimi K3.1 Pro vs GPT-6.1 Terra Kimi K3.1 Pro vs Qwen3.7 Plus Claude Opus 5.5 vs GPT-6.1 Terra Claude Opus 5.5 vs Qwen3.7 Plus Claude Fable 5.1 vs GPT-6.1 Terra Claude Fable 5.1 vs Qwen3.7 Plus Claude Sonnet 5.5 vs GPT-6.1 Terra Claude Sonnet 5.5 vs Qwen3.7 Plus Claude Opus 5 vs GPT-6.1 Terra Claude Opus 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.