gemini-3.1-pro vs kimi-k3-256k
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 | kimi-k3-256k | Advantage |
|---|---|---|---|
| Capability | 53% | 57% | +3% (kimi-k3-256k leads) |
| Median task time | 3m 25s | 3m 3s | 22s faster (kimi-k3-256k leads) |
| Approx. task cost | $0.026 / task | $0.018 / task | $0.009 / task lower (kimi-k3-256k leads) |
gemini-3.1-pro: 8.5% of Google AI Pro (51.2% / 5h, 8.5% / 1w) per run. kimi-k3-256k: 99.0% of Kimi Allegretto (99.0% / 5h, 20.0% / 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 | kimi-k3-256k | Advantage |
|---|---|---|---|
| Capability | 16% | 51% | +35% (kimi-k3-256k leads) |
| Median task time | 1m 47s | 5m 16s | 3m 28s faster (gemini-3.1-pro leads) |
| Approx. task cost | $0.009 / task | $0.034 / task | $0.025 / 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. kimi-k3-256k: 51.0% of Kimi Allegretto (51.0% / 5h, 10.0% / 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 | kimi-k3-256k | Advantage |
|---|---|---|---|
| Capability | 23% | 38% | +15% (kimi-k3-256k leads) |
| Median task time | 4m 39s | 6m 37s | 1m 59s faster (gemini-3.1-pro leads) |
| Approx. task cost | $0.039 / task | $0.027 / task | $0.012 / task lower (kimi-k3-256k leads) |
gemini-3.1-pro: 0.9% of Google AI Pro (5.1% / 5h, 0.9% / 1w) per good solve. kimi-k3-256k: 10.2% of Kimi Allegretto (10.2% / 5h, 2.0% / 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 kimi-k3-256k?
gemini-3.1-pro clears higher: tier 3 of 5 versus tier 2 for kimi-k3-256k on real-world@v3, our private suite of real-world coding problems. Latest measurement 2026-08-17.