Core capabilities
- 1M context and up to 384K output
- Thinking and non-thinking modes
- JSON output, tool calls and FIM in non-thinking mode
- High-concurrency, cost-sensitive API execution
DeepSeek / current
The high-concurrency DeepSeek V4 variant with the same thinking-mode switch and very long outputs.
A fit for bulk structured generation, tool calling and cost-sensitive tasks that still need reasoning. V4 Flash uses 284B total and 13B active parameters for much higher concurrency while keeping 1M context, 384K maximum output and dual thinking modes. Official guidance says it approaches Pro on reasoning and matches it on simpler agent tasks.
Use for bulk structured generation and agent subtasks, with Pro fallback for hard samples. Apply per-tool concurrency limits, JSON validation and stop conditions so model throughput does not overload dependent services.
Very long output rarely means better output; use schemas and staged validation to limit error accumulation. Flash has a much higher stated concurrency allowance than Pro, but downstream tools and databases may become the bottleneck. Legacy aliases should be removed from integrations.
Specifications and positioning checked against provider documentation.
Open official source↗