How do GPT-5.6 Terra and Qwen3.5 397B 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 Qwen3.5 397B when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs Qwen3.5 397B: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or Qwen3.5 397B?

AskClash compares GPT-5.6 Terra and Qwen3.5 397B 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 Qwen3.5 397B 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 Qwen3.5 397B model page

Rank #11 vs #26AskClash overall scores 68.9 vs 50.2.

Pricing $2.50/$15.0 vs $0.60/$3.60Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Alibaba.

GPT-5.6 Terra vs Qwen3.5 397B 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	Qwen3.5 397B
Overall Score	68.9	50.2
Leaderboard Rank	#11	#26
RWT	8.5	—
Coding Agent Index	77.0	—
HLE	—	28.7
GPQA	92.9	88.4
IFEval	—	92.6
SWE-bench	—	76.2
SWE-Pro	63.4	—
SWE-Atlas	81.0	—
Terminal-Bench	87.4	—
DeepSWE	69.6	—
MCP Atlas	—	46.1
Finance Agent	52.4	—
CharXiv	—	80.8
MMMU-Pro	80.7	79.0
ARC-AGI 2	83.9	—
Tau2	86.3	95.6
MRCR	89.6	—
Input Price (per 1M tokens)	$2.50	$0.60
Output Price (per 1M tokens)	$15.0	$3.60
Context Window	1M	128K
Benchmarks Published	14	8

GPT-5.6 Terra vs Qwen3.5 397B head-to-head charts

GPT-5.6 Terra leads 3 and Qwen3.5 397B leads 1 of 4 shared benchmarks. Qwen3.5 397B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraQwen3.5 397B

Overall

68.9GPT-5.6 Terra

50.2Qwen3.5 397B

GPQA

92.9GPT-5.6 Terra

88.4Qwen3.5 397B

MMMU-Pro

80.7GPT-5.6 Terra

79.0Qwen3.5 397B

Tau2

86.3GPT-5.6 Terra

95.6Qwen3.5 397B

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

Qwen3.5 397B

Input$0.60

Output$3.60

Workload$1.32

Context128K

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

More GPT-5.6 Terra and Qwen3.5 397B comparisons

Explore how GPT-5.6 Terra and Qwen3.5 397B stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Terra Claude Opus 5 vs Qwen3.5 397B Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs Qwen3.5 397B GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs Qwen3.5 397B Claude Opus 4.8 vs GPT-5.6 Terra Claude Opus 4.8 vs Qwen3.5 397B Kimi K3 vs GPT-5.6 Terra Kimi K3 vs Qwen3.5 397B

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.