How do GPT-5.6 Sol and DeepSeek V4 Flash 0731 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 Flash 0731 when publicly disclosed.

LLM Comparison

GPT-5.6 Sol vs DeepSeek V4 Flash 0731: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Sol or DeepSeek V4 Flash 0731?

AskClash compares GPT-5.6 Sol and DeepSeek V4 Flash 0731 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 Flash 0731 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 Flash 0731 model page

Rank #3 vs #16AskClash overall scores 79.7 vs 56.1.

Pricing $5.00/$30.0 vs $0.14/$0.28Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs DeepSeek.

GPT-5.6 Sol vs DeepSeek V4 Flash 0731 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 Flash 0731
Overall Score	79.7	56.1
Leaderboard Rank	#3	#16
RWT	9.5	—
Coding Agent Index	80.0	—
HLE	47.2	37.0
GPQA	94.1	91.0
MATH-500	—	57.4
SWE-bench	—	79.0
SWE-Pro	64.6	—
SWE-Atlas	84.0	—
Terminal-Bench	88.8	82.7
DeepSWE	72.7	54.4
MCP Atlas	—	69.0
Finance Agent	53.8	—
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	—
MRCR	91.5	78.7
Input Price (per 1M tokens)	$5.00	$0.14
Output Price (per 1M tokens)	$30.0	$0.28
Context Window	1M	1M
Benchmarks Published	15	9

GPT-5.6 Sol vs DeepSeek V4 Flash 0731 head-to-head charts

GPT-5.6 Sol leads 6 and DeepSeek V4 Flash 0731 leads 0 of 6 shared benchmarks. DeepSeek V4 Flash 0731 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolDeepSeek V4 Flash 0731

Overall

79.7GPT-5.6 Sol

56.1DeepSeek V4 Flash 0731

HLE

47.2GPT-5.6 Sol

37.0DeepSeek V4 Flash 0731

GPQA

94.1GPT-5.6 Sol

91.0DeepSeek V4 Flash 0731

Terminal-Bench

88.8GPT-5.6 Sol

82.7DeepSeek V4 Flash 0731

DeepSWE

72.7GPT-5.6 Sol

54.4DeepSeek V4 Flash 0731

MRCR

91.5GPT-5.6 Sol

78.7DeepSeek V4 Flash 0731

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

Context1M

DeepSeek V4 Flash 0731

Input$0.14

Output$0.28

Workload$0.20

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 Flash 0731 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.