LLM Comparison

Claude Opus 5 vs Gemini 3.1 Pro: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5 vs Gemini 3.1 Pro 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 #1 vs #24AskClash overall scores 94.2 vs 52.3.
Pricing $5.00/$25.0 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Google.

Claude Opus 5 vs Gemini 3.1 Pro benchmark comparison

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

MetricClaude Opus 5Gemini 3.1 Pro
Overall Score94.252.3
Leaderboard Rank#1#24
RWT9.0
Coding Agent Index30.3
HLE64.751.4
GPQA94.3
SWE-bench96.080.6
SWE-Pro79.254.2
Terminal-Bench68.5
DeepSWE68.811.8
MCP Atlas85.869.2
Finance Agent43.0
CharXiv80.2
MMMU-Pro83.9
ARC-AGI 290.477.1
Tau299.3
MRCR84.9
Input Price (per 1M tokens)$5.00$2.00
Output Price (per 1M tokens)$25.0$12.0
Context Window1M1M
Benchmarks Published816

Claude Opus 5 vs Gemini 3.1 Pro head-to-head charts

Claude Opus 5 leads 7 and Gemini 3.1 Pro leads 0 of 7 shared benchmarks. Gemini 3.1 Pro is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5Gemini 3.1 Pro
Overall
94.2Claude Opus 5
52.3Gemini 3.1 Pro
HLE
64.7Claude Opus 5
51.4Gemini 3.1 Pro
SWE-bench
96.0Claude Opus 5
80.6Gemini 3.1 Pro
SWE-Pro
79.2Claude Opus 5
54.2Gemini 3.1 Pro
DeepSWE
68.8Claude Opus 5
11.8Gemini 3.1 Pro
MCP Atlas
85.8Claude Opus 5
69.2Gemini 3.1 Pro
ARC-AGI 2
90.4Claude Opus 5
77.1Gemini 3.1 Pro
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
Context1M
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
Context1M

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

More Claude Opus 5 and Gemini 3.1 Pro comparisons

Explore how Claude Opus 5 and Gemini 3.1 Pro 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.