How do GPT-5.6 Terra and DeepSeek V4 Pro (Max) 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 DeepSeek V4 Pro (Max) when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs DeepSeek V4 Pro (Max): benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or DeepSeek V4 Pro (Max)?

AskClash compares GPT-5.6 Terra and DeepSeek V4 Pro (Max) 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 DeepSeek V4 Pro (Max) 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 DeepSeek V4 Pro (Max) model page

Rank #7 vs #27AskClash overall scores 77.1 vs 48.7.

Pricing $2.50/$15.0 vs $0.43/$0.87Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs DeepSeek.

GPT-5.6 Terra vs DeepSeek V4 Pro (Max) 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	DeepSeek V4 Pro (Max)
Overall Score	77.1	48.7
Leaderboard Rank	#7	#27
RWT	8.5	7.0
Coding Agent Index	77.0	—
HLE	—	37.7
GPQA	92.9	90.1
MATH-500	—	64.5
SWE-bench	—	80.6
SWE-Pro	63.4	55.4
SWE-Atlas	81.0	—
Terminal-Bench	87.4	67.9
DeepSWE	69.6	—
MCP Atlas	—	73.6
Finance Agent	52.4	—
MMMU-Pro	80.7	—
ARC-AGI 2	83.9	—
Tau2	86.3	96.2
MRCR	89.6	83.5
Input Price (per 1M tokens)	$2.50	$0.43
Output Price (per 1M tokens)	$15.0	$0.87
Context Window	1M	1M
Benchmarks Published	13	9

GPT-5.6 Terra vs DeepSeek V4 Pro (Max) head-to-head charts

GPT-5.6 Terra leads 6 and DeepSeek V4 Pro (Max) leads 1 of 7 shared benchmarks. DeepSeek V4 Pro (Max) is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraDeepSeek V4 Pro (Max)

Overall

77.1GPT-5.6 Terra

48.7DeepSeek V4 Pro (Max)

RWT

8.5GPT-5.6 Terra

7.0DeepSeek V4 Pro (Max)

GPQA

92.9GPT-5.6 Terra

90.1DeepSeek V4 Pro (Max)

SWE-Pro

63.4GPT-5.6 Terra

55.4DeepSeek V4 Pro (Max)

Terminal-Bench

87.4GPT-5.6 Terra

67.9DeepSeek V4 Pro (Max)

Tau2

86.3GPT-5.6 Terra

96.2DeepSeek V4 Pro (Max)

MRCR

89.6GPT-5.6 Terra

83.5DeepSeek V4 Pro (Max)

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

DeepSeek V4 Pro (Max)

Input$0.43

Output$0.87

Workload$0.61

Context1M

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

More GPT-5.6 Terra and DeepSeek V4 Pro (Max) comparisons

Explore how GPT-5.6 Terra and DeepSeek V4 Pro (Max) stack up against other top-ranked LLMs.

Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs DeepSeek V4 Pro (Max)GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs DeepSeek V4 Pro (Max)Claude Opus 4.8 vs GPT-5.6 Terra Claude Opus 4.8 vs DeepSeek V4 Pro (Max)Grok 4.5 vs GPT-5.6 Terra Grok 4.5 vs DeepSeek V4 Pro (Max)GPT-5.5 vs GPT-5.6 Terra GPT-5.5 vs DeepSeek V4 Pro (Max)

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.