DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
Verified scores from SWE-bench and Artificial Analysis.
Resolving real-world GitHub issues end-to-end without human intervention
Estimate production API costs for V3.
Verified ratings across 4 core software engineering dimensions.
Refactoring accuracy, syntax correctness, and adherence to design patterns.
Zero hallucinations, strict constraint compliance, and negative prompt respect.
Time-to-first-token (TTFT) and throughput tokens per second.
Token pricing economics relative to intelligence quality and output volume.
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Master React Server Components, Server Actions, parallel routes, streaming, ISR, and cache revalidation.
Write idiomatic React 19 using useActionState, useOptimistic, Actions, ref-as-prop, and React Compiler idioms.
Design type-safe database schemas, execute optimized relational queries, and manage migrations across SQLite, Postgres, and D1.
V3 costs $0.26 per 1M input tokens and $1.03 per 1M output tokens. Cached input reads cost $0.03 per 1M tokens.
Yes. V3 supports tool (function) calling, so it can be used to drive agents and MCP servers.
V3 has a 163,840-token context window and can generate up to 16,000 tokens in one response.
Based on its capabilities, V3 is a good match for Next.js 15 App Router Expert, React 19 Core Patterns, Drizzle ORM Specialist.