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

LLM Comparison

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

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

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

Rank #2 vs #27AskClash overall scores 85.4 vs 48.7.

Pricing $5.00/$30.0 vs $0.43/$0.87Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs DeepSeek.

GPT-5.6 Sol 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 Sol	DeepSeek V4 Pro (Max)
Overall Score	85.4	48.7
Leaderboard Rank	#2	#27
RWT	9.5	7.0
Coding Agent Index	80.0	—
HLE	47.2	37.7
GPQA	94.1	90.1
MATH-500	—	64.5
SWE-bench	—	80.6
SWE-Pro	64.6	55.4
SWE-Atlas	84.0	—
Terminal-Bench	88.8	67.9
DeepSWE	72.7	—
MCP Atlas	—	73.6
Finance Agent	53.8	—
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	96.2
MRCR	91.5	83.5
Input Price (per 1M tokens)	$5.00	$0.43
Output Price (per 1M tokens)	$30.0	$0.87
Context Window	1M	1M
Benchmarks Published	14	9

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

GPT-5.6 Sol leads 7 and DeepSeek V4 Pro (Max) leads 1 of 8 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 SolDeepSeek V4 Pro (Max)

Overall

85.4GPT-5.6 Sol

48.7DeepSeek V4 Pro (Max)

RWT

9.5GPT-5.6 Sol

7.0DeepSeek V4 Pro (Max)

HLE

47.2GPT-5.6 Sol

37.7DeepSeek V4 Pro (Max)

GPQA

94.1GPT-5.6 Sol

90.1DeepSeek V4 Pro (Max)

SWE-Pro

64.6GPT-5.6 Sol

55.4DeepSeek V4 Pro (Max)

Terminal-Bench

88.8GPT-5.6 Sol

67.9DeepSeek V4 Pro (Max)

Tau2

85.1GPT-5.6 Sol

96.2DeepSeek V4 Pro (Max)

MRCR

91.5GPT-5.6 Sol

83.5DeepSeek V4 Pro (Max)

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

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 Sol and DeepSeek V4 Pro (Max) 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.