DeepSeek V4 Flash vs Flint
Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V4 Flash is meaningfully stronger at long context (95 vs 0 on our capability index).
Specs comparison
| DeepSeek V4 Flash | Flint | |
|---|---|---|
| Provider | DeepSeek | Springboards |
| Type | Open source | Closed source |
| Context window | ✓1M tokens | Not announced |
| Input / 1M tokens | Free (self-host) | Not announced |
| Output / 1M tokens | Free (self-host) | Not announced |
| Release date | 2026-04 | 2026-04 |
Benchmarks
| Benchmark | DeepSeek V4 Flash | Flint |
|---|---|---|
| Reasoning (vs V4 Pro) | Closely approaches V4 Pro | - |
| 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 V4 Flash if...
- →You want most of V4 Pro's capability at a lower price and higher throughput
- →You need long context but on a tighter compute or cost budget
- →You are serving high request volumes where per-token cost dominates
- →You want an open model small enough to self-host on modest multi-GPU setups
Choose Flint if...
- →When exploring diverse creative directions
- →For early-stage ideation and concept generation
- →When variety and novelty are more important than accuracy