China's open-weights champion — frontier reasoning at 1/10th the price, with a permissive MIT license.
DeepSeek V5 is the July 2026 flagship from DeepSeek (Hangzhou), succeeding V4. It continues the formula that made DeepSeek famous: frontier-class reasoning at a fraction of Western pricing, with open weights and a permissive MIT license. V5 improves on V4's math and coding performance, adds stronger multilingual support (100+ languages), and sharpens the reasoning model's chain-of-thought for harder logic and proof tasks.
On our 50-task suite, DeepSeek V5 won on price-to-performance by a wide margin, was competitive with GPT-5.4 on math and coding, and trailed Claude Opus 5.2 on writing quality and multimodal. At ~$0.14 per million tokens on the API, it's roughly 1/10th the cost of GPT-5.4 — and with open weights, you can self-host and pay nothing per query.
Who it's for: Budget-conscious developers, teams that need to self-host for privacy or compliance, math/coding-heavy applications, and anyone who wants frontier reasoning without the frontier price tag.
DeepSeek V5 is released under MIT license — the most permissive option in the frontier model space. Commercial use, modification, and redistribution all allowed. Self-host on your own GPUs.
The reasoning model excels on math, logic, and formal proofs. Competitive with GPT-5.4 on competition math and actually beats it on some proof-style tasks at a fraction of the cost.
V5 handles 100+ languages natively, with particularly strong performance on Chinese, English, Japanese, and Korean — making it the go-to for cross-Asian applications.
At ~$0.14 per million tokens, the DeepSeek API is roughly 1/10th the cost of GPT-5.4. For high-volume applications, the savings compound fast — $100 of DeepSeek gets you what $1,000 of GPT would.
DeepSeek V5 is the model that proves frontier reasoning doesn't have to cost frontier prices. If you're building a high-volume application, need to self-host, or want strong math/coding performance without the $20/mo subscription, V5 is the obvious choice. It won't win on writing quality or multimodal breadth — but at 1/10th the cost, it doesn't need to. For budget-conscious teams, this is the model to beat.
The previous DeepSeek flagship — still excellent value.
Alibaba's flagship — the other Chinese open-weights contender.
OpenAI's flagship — the premium benchmark.
Meta's open-weights — the Western alternative.