DeepSeek V4 Pro
DeepSeek V4 Pro is DeepSeek AI's official deepseek-v4-pro API model: 1.6T total parameters, 49B activated parameters, 1M-token context, 384K max output, tool calls, JSON output, and reasoning modes for harder coding and agent tasks.
Where DeepSeek V4 Pro is strongest
Choose DeepSeek V4 Pro when the task needs long context, structured tool use, and enough reasoning budget to justify the higher output cost.
Large-context API work
Use the 1M-token context and 384K max output for repositories, logs, specs, issue history, and other prompts that outgrow ordinary chat windows.
Adjustable reasoning effort
Move between non-thinking, thinking, and Think Max style usage depending on how much latency and output-token spend the task can tolerate.
Structured agent workflows
JSON output, tool calls, chat prefix beta, and FIM beta make V4 Pro useful for coding agents that need predictable schemas and editor-style completions.
Official benchmark signals for DeepSeek V4 Pro
The benchmark chart highlights DeepSeek's published V4 Pro Max scores for coding, long-context retrieval, software engineering, terminal tasks, and MCP-style tool use.
Treat these scores as model-selection signals, then test your own prompts, tool schemas, context length, latency target, and output budget before production use.
1.6T-parameter MoE with CSA + HCA long context
The V4 Pro model card points to three practical architecture signals: MoE scale, million-token attention efficiency, and post-training for reasoning and tool behavior.
DeepSeek lists V4 Pro as a 1.6T-parameter MoE model with 49B activated parameters. At 1M context, the model card says V4 Pro uses 27% of DeepSeek-V3.2 single-token inference FLOPs and 10% of the KV cache.
Reasoning effort changes output, latency, and cost
Use non-thinking mode for routine structured calls, thinking mode for analysis and planning, and Think Max for the hardest tasks. The tradeoff is simple: stronger reasoning usually means more latency and more billable output tokens.
DeepSeek V4 Pro vs DeepSeek V4 Flash
Both V4 models support 1M context, 384K max output, JSON output, tool calls, and thinking modes. The real choice is capability, price, and concurrency.
| Model comparison | DeepSeek V4 Pro | DeepSeek V4 Flash |
|---|---|---|
| API model ID | deepseek-v4-pro | deepseek-v4-flash. DeepSeek also says deepseek-chat and deepseek-reasoner are compatibility aliases for V4 Flash modes until deprecation on 2026-07-24 15:59 UTC. |
| Model scale | 1.6T total parameters with 49B activated parameters. | 284B total parameters with 13B activated parameters. |
| Official API pricing | $0.003625 cache-hit input, $0.435 cache-miss input, and $0.87 output per 1M tokens. | $0.0028 cache-hit input, $0.14 cache-miss input, and $0.28 output per 1M tokens. |
| Context and output | 1M-token context and 384K max output on the official API. | 1M-token context and 384K max output on the official API. |
| Concurrency limit | 500 on the official DeepSeek API. | 2500 on the official DeepSeek API. |
| Best first test | Use for hard coding, long-context review, Think Max evaluation, and agent workflows where higher capability is worth the output price. | Use for cheaper high-volume calls, routing, summarization, and migration from deepseek-chat or deepseek-reasoner aliases. |
Pricing and API details checked against DeepSeek API docs on June 5, 2026. Product prices can change, so verify the official DeepSeek pricing page before committing production spend.
Where DeepSeek V4 Pro fits in MyClaw
Repository-wide code review
Load files, migrations, logs, and issue history into a single long-context agent session before asking for an implementation plan.
Structured tool agents
Use JSON output and tool calls when the workflow needs deterministic actions rather than free-form chat.
Cost-aware long runs
Plan around cache-hit input, cache-miss input, and output tokens; reserve Think Max for prompts where deeper reasoning is worth the added latency and output spend.
Model migration checks
Compare V4 Pro with V4 Flash before moving workloads from deepseek-chat or deepseek-reasoner compatibility aliases.
DeepSeek V4 Pro FAQs
DeepSeek V4 Pro
Run DeepSeek V4 Pro in a hosted MyClaw agent
Use MyClaw to evaluate DeepSeek V4 Pro with hosted runtime, files, tools, browser-ready execution, and pricing-aware model selection in one workflow.