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Model details

DeepSeek-V3 (Deep Infra)

DeepSeek-V3 belongs to the broader DeepSeek family of large language models developed by DeepSeek-AI, and the variant catalogued here is the base DeepSeek-V3 release associated with a December 2024 launch window. Independent infrastructure reporting refers to the model as DeepSeek-V3 671B, indicating a 671-billion-parameter scale that places it among the larger open-weights-style offerings in its generation. In third-party benchmark reporting, this 671B configuration was trained at substantial scale on NVIDIA GB300 NVL72 hardware, illustrating the level of compute the architecture was designed around. These details frame V3 as a general-purpose base model intended to serve as a foundation for downstream chat, instruction, and reasoning-oriented variants rather than a narrowly specialized system.

Within the DeepSeek lineage, the base V3 sits below the later V3.2 release, which DeepSeek-AI describes as a reasoning-first successor built for agent-style use, with a separate V3.2-Speciale variant tuned for maximum reasoning depth and reported gold-level results on competitions such as IMO, CMO, ICPC World Finals, and IOI 2025. That progression from a broad 671B base model toward reasoning-specialized successors suggests V3 is best understood as a versatile foundation suitable for chat, drafting, analysis, and as a starting point for further fine-tuning, while workloads that demand the deepest multi-step reasoning may be better served by the newer V3.2 line. For practitioners, V3 fits use cases that want a large, openly distributed base model with room to specialize, rather than a turnkey agentic system out of the box.

Eden AIdeepinfra/deepseek-ai/DeepSeek-V3deepseek

Quick Info

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Provider
Eden AI
Model key
deepinfra/deepseek-ai/DeepSeek-V3
Release date
Dec 26, 2024
Last updated
Dec 26, 2024
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.32
Output token cost
$0.89

Limits

Output tokens
8,192 tokens
Context window
163,840 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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