LLM Comparison

GPT-6 Sol vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.

Side-by-side GPT-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 #30 vs #44AskClash overall scores 56.6 vs 50.8.
Pricing $2.00/$10.0 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Google.

GPT-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-6 SolGemini 3.6 Flash
Overall Score56.650.8
Leaderboard Rank#30#44
ACB55.833.8
HLE47.938.0
GPQA92.8
SWE-Pro58.7
Terminal-Bench78.0
DeepSWE68.846.7
GDPval-AA1486.91421.0
OSWorld83.0
Finance Agent56.3
CharXiv85.2
MMMU-Pro83.383.2
MRCR91.8
Input Price (per 1M tokens)$2.00$1.50
Output Price (per 1M tokens)$10.0$7.50
Context Window1.05M1M
Benchmarks Published613

GPT-6 Sol vs Gemini 3.6 Flash head-to-head charts

GPT-6 Sol leads 6 and Gemini 3.6 Flash leads 0 of 6 shared benchmarks. Gemini 3.6 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 SolGemini 3.6 Flash
Overall
56.6GPT-6 Sol
50.8Gemini 3.6 Flash
ACB
55.8GPT-6 Sol
33.8Gemini 3.6 Flash
HLE
47.9GPT-6 Sol
38.0Gemini 3.6 Flash
DeepSWE
68.8GPT-6 Sol
46.7Gemini 3.6 Flash
GDPval-AA
1486.9GPT-6 Sol
1421.0Gemini 3.6 Flash
MMMU-Pro
83.3GPT-6 Sol
83.2Gemini 3.6 Flash
GPT-6 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M
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-6 Sol and Gemini 3.6 Flash comparisons

Explore how GPT-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.