The production build of DeepSeek V4 Pro has been updated to the API, and the model name used in calls remains unchanged, according to a ChainCatcher 7x24 newsflash citing the Science and Technology Innovation Board Daily. The release focuses on agent features: the new version significantly strengthens Agent capability and supports Responses API and Codex integration. API documentation lists V4 Pro pricing at 3 yuan per million input tokens, 6 yuan per million output tokens, and 0.025 yuan per million tokens for cache-hit input. Benchmark data for the production model shows a Terminal Bench score of 87.9, close to Fable 5's 88. On CyberGym, an AI safety agent benchmark, and on AutomationBench, a high-difficulty agent benchmark, V4 Pro beats Fable 5. The price and performance details were included in the same ChainCatcher newsflash, which credited the original report to the Science and Technology Innovation Board Daily. The model name stays the same for API calls, so the identifier does not change with this update.
The production version of DeepSeek V4 Pro has been updated to the API. The model name used for API calls stays the same. According to a ChainCatcher 7x24 newsflash, the information originally came from the Science and Technology Innovation Board Daily.
The new build significantly strengthens Agent capability. It also supports Responses API and Codex access.
Pricing in the API documentation
API documentation lists V4 Pro pricing at 3 yuan per million input tokens, 6 yuan per million output tokens, and 0.025 yuan per million tokens for cache-hit input.
Benchmark performance
Benchmark results show V4 Pro scoring 87.9 on Terminal Bench, a terminal-agent benchmark, compared with 88 for Fable 5. On CyberGym, an AI safety agent benchmark, and AutomationBench, a high-difficulty agent benchmark, V4 Pro surpasses Fable 5.
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