DeepSeek-V4-Flash

DeepSeek-V4-Flash is the speed-optimized sibling in DeepSeek's V4 family, listed as `DeepSeek-V4-Flash`. On CallMissed, set `"model": "DeepSeek-V4-Flash"` in chat completion requests. It targets teams that want V4-class reasoning at lower cost and faster throughput than V4 Pro, while keeping the same full one-million (1,048,576) token context window.\n\nCapabilities: a 1M-token context, function calling, and reasoning ("thinking") mode. It is the faster, lower-cost DeepSeek tier — well suited to high-volume classification, summarization, log analysis, ETL enrichment, and agent sub-steps where a larger model handles occasional planning and Flash handles the bulk work. (Vision is available on V4 Pro, not Flash.)\n\nCallMissed pricing is $0.44 per million input tokens and $1.32 per million output tokens, with cached input billed at $0.014 per million tokens — one of the most affordable long-context reasoning options on the platform.\n\nWhen to choose Flash vs Pro: pick Flash for throughput-sensitive batch jobs, parallel map steps, and cost-capped copilots; pick Pro when maximum reasoning depth — or vision — justifies the extra spend. Both share reasoning-content behavior, so allocate adequate output token budgets and stream responses for long chains of thought.\n\nIntegration is OpenAI-compatible: send chat messages, define `tools` for function calling, and avoid tiny `max_tokens` values so a thinking phase does not truncate the answer. A common pattern is a router that classifies incoming requests and sends the easy ones to Flash and the hard ones to `DeepSeek-V4-Pro`.