Gemini Nano Banana 2.1 vs NVIDIA Nemotron 3.5 Super VL
Compare up to 4 models side by side.
| Capability | ||||
|---|---|---|---|---|
| Capability | — | — | ||
| Human preference | — | — | ||
| Priceper 1M tokens | ||||
| Input | $1.35list $1.50 | $0.165↓ | ||
| Output | $6.75list $7.50 | $0.55↓ | ||
| Cache read | $0.135–$1.35list $0.15 | $0.022↓ | ||
| Reasoning output | $6.75list $7.50 | — | ||
| Image input | $1.35list $1.50 | — | ||
| Image output | $27.00list $30.00 | — | ||
| Web searchper request | $0.0126list $0.014 | — | ||
| Limits and modalities | ||||
| Context | 131K↓ 88% | 1M↑ | ||
| Max output | 33K↓ 88% | 262K↑ | ||
| Modalities | InputTextImageVideoPDFOutputTextImage | InputTextImageOutputText | ||
| Availability | ||||
| Providers | Google (Gemini), Google Vertex AI | Together AI | ||
| 30-day uptime | — | — | ||
| Measured, last 30 days | ||||
| Avg latency | — | — | ||
| Effective price | — | — | ||
| Cache hit rate | — | — | ||
| About | ||||
| Released | 2026-10-06 | 2026-10-15 | ||
| Knowledge cutoff | — | — | ||