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DeepSeek-V3.1

DeepSeek · open weight · deepseek-v3.1

DeepSeek-V3.1 is a hybrid model supporting both thinking and non-thinking modes through different chat templates. Built on DeepSeek-V3.1-Base with a two-phase long context extension (32K phase: 630B tokens, 128K phase: 209B tokens), it features 671B total parameters with 37B activated. Key improvements include smarter tool calling through post-training optimization, higher thinking efficiency achieving comparable quality to DeepSeek-R1-0528 while responding more quickly, and UE8M0 FP8 scale data format for model weights and activations. The model excels in both reasoning tasks (thinking mode) and practical applications (non-thinking mode), with particularly strong performance in code agent tasks, math competitions, and search-based problem solving.

SimpleQAMMLU-ReduxMMLU-ProGPQAAIME 2024SWE-Bench Ve

Benchmark scores

Pricing

  • DeepInfra$0.25 / $0.95

Input / output per 1M tokens

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