DeepSeek V4: Open-Source Frontier AI at a Fraction of the Price
DeepSeek V4 launched the same day as GPT-5.5, with 1M token context, 384K output, and API pricing at $0.14/M input. It's the strongest case yet for open-source at the frontier.
June 19, 2026
On April 24, 2026 — the same day OpenAI released GPT-5.5 — DeepSeek dropped V4. Two variants: V4-Pro and V4-Flash. Both with 1 million token context windows, 384K max output, and API pricing that undercuts every closed model at the frontier. V4-Flash starts at $0.14 per million input tokens. GPT-5.5 is $5.00. That’s a 35x cost difference for comparable capability.
V4 at a Glance
- Context window: 1,000,000 tokens
- Max output: 384,000 tokens (8x the V3 limit)
- V4-Flash pricing: $0.14/M input, $0.28/M output
- V4-Pro pricing: $1.74/M input, $3.48/M output
- Cache hits: 1/10th standard input price
- Architecture: Compressed Sparse Attention enabling efficient 1M context
- License: MIT — full commercial use, self-hosting, and modification permitted
Why Open Source at the Frontier Changes Everything
Every previous frontier AI release has come from a closed lab with a proprietary model. You use it via API, accept the pricing, and have no option to self-host or inspect the weights. DeepSeek V4’s MIT license breaks that model entirely. An enterprise with data sovereignty requirements can run V4-Pro on their own infrastructure, with no data leaving their network and no per-token API cost. A startup can fine-tune V4-Flash on their own data and ship it as part of their product. The capability ceiling for open-source AI just moved to within benchmark distance of the best closed models.
Who should use DeepSeek V4?