DeepSeek V3 vs Nano Banana 2 Lite
Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V3 is meaningfully stronger at cost efficiency (92 vs 9 on our capability index).
Specs comparison
| DeepSeek V3 | Nano Banana 2 Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Type | Open source | Closed source |
| Context window | ✓128K tokens | Not announced |
| Input / 1M tokens | Free (self-host) | Not announced |
| Output / 1M tokens | Free (self-host) | 33.6 |
| Release date | 2024-12 | 2026-06 |
Benchmarks
| Benchmark | DeepSeek V3 | Nano Banana 2 Lite |
|---|---|---|
| Pre-training scale | ~15T tokens | - |
| Arena.ai Text-to-Image Leaderboard | - | Ranked #5 |
| Text-to-Image Elo Score | - | 1251 |
| Single-Image Editing Elo Score | - | 1308 |
| Multiple-Image Editing Elo Score | - | 1294 |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose DeepSeek V3 if...
- →You want a proven, stable open model with broad ecosystem support
- →You need to self-host or fine-tune without licensing friction
- →Cost is critical and you don't need V4's 1M context or top scores
- →You want reproducible open-weight behavior pinned to a known version
Choose Nano Banana 2 Lite if...
- →When cost-per-sample is the primary constraint
- →For workflows requiring 100+ images per session
- →When generation latency must be under 5 seconds
- →For rapid prototyping and exploration