gemini-3.1-pro vs claude-opus-5
Each agent graded on the same private suites, running headless through its own tools. Advantages are oriented so a win is a win, whichever way the metric runs.
| Dimension | gemini-3.1-pro | claude-opus-5 | Advantage |
|---|---|---|---|
| Capability | 53% | 60% | +7% (claude-opus-5 leads) |
| Median task time | 3m 25s | 3m 57s | 32s faster (gemini-3.1-pro leads) |
| Approx. task cost | $0.026 / task | $0.010 / task | $0.016 / task lower (claude-opus-5 leads) |
gemini-3.1-pro: 8.5% of Google AI Pro (51.2% / 5h, 8.5% / 1w) per run. claude-opus-5: 11.0% of Claude Max 20x (11.0% / 5h, 1.0% / 1w) per run. Each figure is a share of that agent's own plan, so there is no delta to draw.
| Dimension | gemini-3.1-pro | claude-opus-5 | Advantage |
|---|---|---|---|
| Capability | 16% | 63% | +47% (claude-opus-5 leads) |
| Median task time | 1m 47s | 5m 10s | 3m 22s faster (gemini-3.1-pro leads) |
| Approx. task cost | $0.009 / task | $0.014 / task | $0.005 / task lower (gemini-3.1-pro leads) |
gemini-3.1-pro: 0.8% of Google AI Pro (4.6% / 5h, 0.8% / 1w) per run. claude-opus-5: 4.0% of Claude Max 20x (4.0% / 5h, 1.0% / 1w) per run. Each figure is a share of that agent's own plan, so there is no delta to draw.
| Dimension | gemini-3.1-pro | claude-opus-5 | Advantage |
|---|---|---|---|
| Capability | 23% | 69% | +46% (claude-opus-5 leads) |
| Median task time | 4m 39s | 4m 59s | 20s faster (gemini-3.1-pro leads) |
| Approx. task cost | $0.039 / task | $0.011 / task | $0.028 / task lower (claude-opus-5 leads) |
gemini-3.1-pro: 0.9% of Google AI Pro (5.1% / 5h, 0.9% / 1w) per good solve. claude-opus-5: 0.8% of Claude Max 20x (0.8% / 5h, 0.2% / 1w) per good solve. Each figure is a share of that agent's own plan, so there is no delta to draw.
Grades and deltas are comparable only within a suite version. See methodology.
Frequently asked questions
Which is better for coding, gemini-3.1-pro or claude-opus-5?
claude-opus-5 clears higher: tier 4 of 5 versus tier 3 for gemini-3.1-pro on real-world@v3, our private suite of real-world coding problems. Latest measurement 2026-08-17.