Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Gemini 3.8 Flash vs GPT-5.5: benchmark scores, pricing & comparison.
Side-by-side Gemini 3.8 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.
Verdict: Gemini 3.8 Flash ranks higher (#14 vs #32) and wins 9 of 9 shared benchmarks; Gemini 3.8 Flash costs less ($1.50/$7.50 vs $5.00/$30.0 per 1M tokens).
Rank #14 vs #32AskClash overall scores 62.6 vs 54.1.
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 3.8 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.
| Metric | Gemini 3.8 Flash | GPT-5.5 |
|---|---|---|
| Overall Score | 62.6 | 54.1 |
| Leaderboard Rank | #14 | #32 |
| ACB | 64.2 | 62.0 |
| RWT | — | 8.0 |
| HLE | 54.9 | 52.2 |
| GPQA | 95.3 | 93.6 |
| IFEval | — | 75.9 |
| SWE-Pro | — | 58.6 |
| Terminal-Bench | 19.7 | 14.7 |
| DeepSWE | 73.8 | 67.0 |
| GDPval-AA | 1545.0 | 1350.7 |
| OSWorld | — | 78.7 |
| MCP Atlas | — | 75.3 |
| Finance Agent | 61.4 | 51.8 |
| CharXiv | 86.2 | — |
| MMMU-Pro | 85.6 | 81.2 |
| ARC-AGI 2 | 89.2 | 85.0 |
| Tau2 | — | 98.0 |
| Input Price (per 1M tokens) | $1.50 | $5.00 |
| Output Price (per 1M tokens) | $7.50 | $30.0 |
| Context Window | 1M | 1M |
| Benchmarks Published | 13 | 14 |
Gemini 3.8 Flash vs GPT-5.5 head-to-head charts
Gemini 3.8 Flash leads 10 and GPT-5.5 leads 0 of 10 shared benchmarks. Gemini 3.8 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Gemini 3.8 FlashGPT-5.5
Overall
ACB
HLE
GPQA
Terminal-Bench
DeepSWE
GDPval-AA
Finance Agent
MMMU-Pro
ARC-AGI 2
Gemini 3.8 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 3.8 Flash and GPT-5.5 comparisons
Explore how Gemini 3.8 Flash and GPT-5.5 stack up against other top-ranked LLMs.
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How to read this comparison
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.