LLM Comparison

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

Side-by-side GPT-5.6 Sol vs DeepSeek V4 Pro 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.

Rank #2 vs #53AskClash overall scores 85.6 vs 20.0.
Pricing $5.00/$30.0 vs $1.74/$3.48Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs DeepSeek.

GPT-5.6 Sol vs DeepSeek V4 Pro benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGPT-5.6 SolDeepSeek V4 Pro
Overall Score85.620.0
Leaderboard Rank#2#53
RWT9.57.0
Coding Agent Index80.0
HLE47.27.7
GPQA94.172.9
MATH-50064.5
SWE-bench73.6
SWE-Pro64.652.1
SWE-Atlas84.0
Terminal-Bench88.859.1
DeepSWE72.7
MCP Atlas69.4
Finance Agent53.844.1
MMMU-Pro83.0
ARC-AGI 292.5
Tau285.1
MRCR91.544.7
Input Price (per 1M tokens)$5.00$1.74
Output Price (per 1M tokens)$30.0$3.48
Context Window1M1M
Benchmarks Published148

GPT-5.6 Sol vs DeepSeek V4 Pro head-to-head charts

GPT-5.6 Sol leads 8 and DeepSeek V4 Pro leads 0 of 8 shared benchmarks. DeepSeek V4 Pro is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolDeepSeek V4 Pro
Overall
85.6GPT-5.6 Sol
20.0DeepSeek V4 Pro
RWT
9.5GPT-5.6 Sol
7.0DeepSeek V4 Pro
HLE
47.2GPT-5.6 Sol
7.7DeepSeek V4 Pro
GPQA
94.1GPT-5.6 Sol
72.9DeepSeek V4 Pro
SWE-Pro
64.6GPT-5.6 Sol
52.1DeepSeek V4 Pro
Terminal-Bench
88.8GPT-5.6 Sol
59.1DeepSeek V4 Pro
Finance Agent
53.8GPT-5.6 Sol
44.1DeepSeek V4 Pro
MRCR
91.5GPT-5.6 Sol
44.7DeepSeek V4 Pro
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
Context1M
DeepSeek V4 Pro
Input$1.74
Output$3.48
Workload$2.44
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 comparisons

Explore how GPT-5.6 Sol and DeepSeek V4 Pro stack up against other top-ranked LLMs.

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.