LLM Comparison

Gemini 3.7 Flash vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.7 Flash vs GPT-5.5 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 leaderboardGemini 3.7 Flash model pageGPT-5.5 model page
Rank #10 vs #11AskClash overall scores 69.6 vs 68.8.
Pricing $1.50/$7.50 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs OpenAI.

Gemini 3.7 Flash vs GPT-5.5 benchmark comparison

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

MetricGemini 3.7 FlashGPT-5.5
Overall Score69.668.8
Leaderboard Rank#10#11
ACB38.962.0
RWT—8.0
Coding Agent Index—61.0
HLE53.652.2
GPQA94.593.6
SWE-Pro—58.6
Terminal-Bench85.882.7
DeepSWE65.367.0
GDPval-AA1525.0—
OSWorld—78.7
MCP Atlas—75.3
Finance Agent59.051.8
CharXiv84.5—
MMMU-Pro85.581.2
ARC-AGI 2—85.0
Tau2—98.0
MRCR97.0—
Input Price (per 1M tokens)$1.50$5.00
Output Price (per 1M tokens)$7.50$30.0
Context Window1M1M
Benchmarks Published1114

Gemini 3.7 Flash vs GPT-5.5 head-to-head charts

Gemini 3.7 Flash leads 6 and GPT-5.5 leads 2 of 8 shared benchmarks. Gemini 3.7 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.7 FlashGPT-5.5
Overall
69.6Gemini 3.7 Flash
68.8GPT-5.5
ACB
38.9Gemini 3.7 Flash
62.0GPT-5.5
HLE
53.6Gemini 3.7 Flash
52.2GPT-5.5
GPQA
94.5Gemini 3.7 Flash
93.6GPT-5.5
Terminal-Bench
85.8Gemini 3.7 Flash
82.7GPT-5.5
DeepSWE
65.3Gemini 3.7 Flash
67.0GPT-5.5
Finance Agent
59.0Gemini 3.7 Flash
51.8GPT-5.5
MMMU-Pro
85.5Gemini 3.7 Flash
81.2GPT-5.5
Gemini 3.7 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M

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

More Gemini 3.7 Flash and GPT-5.5 comparisons

Explore how Gemini 3.7 Flash and GPT-5.5 stack up against other top-ranked LLMs.

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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.