LLM Comparison

Gemini 3.5 Flash vs GPT-6 Sol: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.5 Flash vs GPT-6 Sol 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 #29 vs #30AskClash overall scores 57.5 vs 56.6.
Pricing $1.50/$9.00 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs OpenAI.

Gemini 3.5 Flash vs GPT-6 Sol benchmark comparison

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

MetricGemini 3.5 FlashGPT-6 Sol
Overall Score57.556.6
Leaderboard Rank#29#30
ACB55.8
RWT7.0
HLE40.247.9
GPQA92.2
IFEval76.3
SWE-Pro55.1
Terminal-Bench76.2
DeepSWE36.168.8
GDPval-AA1184.81486.9
OSWorld78.4
MCP Atlas83.6
Finance Agent57.9
CharXiv84.2
MMMU-Pro83.683.3
ARC-AGI 272.1
Tau295.3
MRCR77.3
Input Price (per 1M tokens)$1.50$2.00
Output Price (per 1M tokens)$9.00$10.0
Context Window1M1.05M
Benchmarks Published166

Gemini 3.5 Flash vs GPT-6 Sol head-to-head charts

Gemini 3.5 Flash leads 2 and GPT-6 Sol leads 3 of 5 shared benchmarks. Gemini 3.5 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.5 FlashGPT-6 Sol
Overall
57.5Gemini 3.5 Flash
56.6GPT-6 Sol
HLE
40.2Gemini 3.5 Flash
47.9GPT-6 Sol
DeepSWE
36.1Gemini 3.5 Flash
68.8GPT-6 Sol
GDPval-AA
1184.8Gemini 3.5 Flash
1486.9GPT-6 Sol
MMMU-Pro
83.6Gemini 3.5 Flash
83.3GPT-6 Sol
Gemini 3.5 Flash
Input$1.50
Output$9.00
Workload$3.30
Context1M
GPT-6 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M

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

More Gemini 3.5 Flash and GPT-6 Sol comparisons

Explore how Gemini 3.5 Flash and GPT-6 Sol 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.