DeepSeek V4 vs Flint
Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V4 is meaningfully stronger at long context (97 vs 0 on our capability index).
Specs comparison
| DeepSeek V4 | 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 | Flint |
|---|---|---|
| SWE-bench Verified | 80.6% | - |
| Math / STEM / Coding (open-model comparison) | Best among open models (per DeepSeek) | - |
| 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 if...
- →You need a frontier-class open model you can self-host for data control
- →Your workload involves very long documents, codebases, or agent trajectories (up to 1M tokens)
- →You want top-tier agentic coding at a fraction of closed-model cost
- →You need to fine-tune or customize a strong base model
Choose Flint if...
- →When exploring diverse creative directions
- →For early-stage ideation and concept generation
- →When variety and novelty are more important than accuracy