DeepSeek V3 vs Flint
Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V3 is meaningfully stronger at cost efficiency (92 vs 6 on our capability index).
Specs comparison
| DeepSeek V3 | Flint | |
|---|---|---|
| Provider | DeepSeek | Springboards |
| 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) | Not announced |
| Release date | 2024-12 | 2026-04 |
Benchmarks
| Benchmark | DeepSeek V3 | Flint |
|---|---|---|
| Pre-training scale | ~15T tokens | - |
| Novelty Bench | - | 7/10 |
| Intra-Model Similarity | - | 0.721 |
| NoveltyBench | - | 7.47 |
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 Flint if...
- →When exploring diverse creative directions
- →For early-stage ideation and concept generation
- →When variety and novelty are more important than accuracy