LLM Comparison

GPT-5.6 Sol vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Sol vs Gemini 3.6 Flash 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 #17AskClash overall scores 85.6 vs 62.9.
Pricing $5.00/$30.0 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Google.

GPT-5.6 Sol vs Gemini 3.6 Flash benchmark comparison

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

MetricGPT-5.6 SolGemini 3.6 Flash
Overall Score85.662.9
Leaderboard Rank#2#17
RWT9.5
Coding Agent Index80.0
HLE47.238.0
GPQA94.192.8
SWE-Pro64.658.7
SWE-Atlas84.0
Terminal-Bench88.878.0
DeepSWE72.749.0
OSWorld83.0
Finance Agent53.8
CharXiv85.2
MMMU-Pro83.083.2
ARC-AGI 292.5
Tau285.1
MRCR91.591.8
Input Price (per 1M tokens)$5.00$1.50
Output Price (per 1M tokens)$30.0$7.50
Context Window1M1M
Benchmarks Published1411

GPT-5.6 Sol vs Gemini 3.6 Flash head-to-head charts

GPT-5.6 Sol leads 6 and Gemini 3.6 Flash leads 2 of 8 shared benchmarks. Gemini 3.6 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolGemini 3.6 Flash
Overall
85.6GPT-5.6 Sol
62.9Gemini 3.6 Flash
HLE
47.2GPT-5.6 Sol
38.0Gemini 3.6 Flash
GPQA
94.1GPT-5.6 Sol
92.8Gemini 3.6 Flash
SWE-Pro
64.6GPT-5.6 Sol
58.7Gemini 3.6 Flash
Terminal-Bench
88.8GPT-5.6 Sol
78.0Gemini 3.6 Flash
DeepSWE
72.7GPT-5.6 Sol
49.0Gemini 3.6 Flash
MMMU-Pro
83.0GPT-5.6 Sol
83.2Gemini 3.6 Flash
MRCR
91.5GPT-5.6 Sol
91.8Gemini 3.6 Flash
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
Context1M
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M

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

More GPT-5.6 Sol and Gemini 3.6 Flash comparisons

Explore how GPT-5.6 Sol and Gemini 3.6 Flash 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.