LLM Comparison

Claude Opus 5.5 vs Gemini 3.5 Flash: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5.5 vs Gemini 3.5 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 #12 vs #29AskClash overall scores 64.5 vs 57.8.
Pricing $4.00/$20.0 vs $1.50/$9.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Google.

Claude Opus 5.5 vs Gemini 3.5 Flash benchmark comparison

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

MetricClaude Opus 5.5Gemini 3.5 Flash
Overall Score64.557.8
Leaderboard Rank#12#29
ACB61.7
RWT7.0
HLE67.740.2
GPQA92.2
IFEval76.3
SWE-Pro89.955.1
Terminal-Bench76.2
DeepSWE74.236.1
GDPval-AA1846.21184.8
OSWorld78.4
MCP Atlas83.6
Finance Agent57.9
CharXiv84.2
MMMU-Pro87.783.6
ARC-AGI 272.1
Tau295.3
MRCR77.3
Input Price (per 1M tokens)$4.00$1.50
Output Price (per 1M tokens)$20.0$9.00
Context Window1M1M
Benchmarks Published716

Claude Opus 5.5 vs Gemini 3.5 Flash head-to-head charts

Claude Opus 5.5 leads 6 and Gemini 3.5 Flash leads 0 of 6 shared benchmarks. Gemini 3.5 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5.5Gemini 3.5 Flash
Overall
64.5Claude Opus 5.5
57.8Gemini 3.5 Flash
HLE
67.7Claude Opus 5.5
40.2Gemini 3.5 Flash
SWE-Pro
89.9Claude Opus 5.5
55.1Gemini 3.5 Flash
DeepSWE
74.2Claude Opus 5.5
36.1Gemini 3.5 Flash
GDPval-AA
1846.2Claude Opus 5.5
1184.8Gemini 3.5 Flash
MMMU-Pro
87.7Claude Opus 5.5
83.6Gemini 3.5 Flash
Claude Opus 5.5
Input$4.00
Output$20.0
Workload$8.00
Context1M
Gemini 3.5 Flash
Input$1.50
Output$9.00
Workload$3.30
Context1M

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

More Claude Opus 5.5 and Gemini 3.5 Flash comparisons

Explore how Claude Opus 5.5 and Gemini 3.5 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.