Activefrontierllm Proprietary

DeepSeek V3

by DeepSeek· Released December 2024· Cutoff May 2024

DeepSeek V3 is a powerful Mixture-of-Experts (MoE) language model with 671B total parameters, activated 37B per token. It achieves top-tier performance on benchmarks like MMLU and HumanEval, rivaling leading closed-source models. It is designed for efficient inference and supports a 128K context window.

Official Site API Docs

Input cost

$0.27 per 1M tokens

Output cost

$1.10 per 1M tokens

Context window

128K tokens

Max output

8192 tokens

Modalities

text

Parameters

671B (37B activated per token)

License

proprietary

Capabilities

Function CallingCode GenerationStreamingJSON ModeMulti-turn ConversationReasoningMathMultilingual

Best For

High-performance text generation, coding, and reasoning tasks requiring a large context window and cost efficiency.

Strengths

Top-tier benchmark performance comparable to GPT-4 and Claude 3.5
Extremely cost-effective pricing
Large 128K context window
Efficient MoE architecture for fast inference

Limitations

No native vision or multimodal support
Not open-source (proprietary)
Limited to text-only tasks
May require careful prompt engineering for complex reasoning

Use Cases

Code generation and debugging

Complex reasoning and problem solving

Content creation and summarization

Chatbots and virtual assistants

Data analysis and report generation

Educational tutoring

Translation and multilingual tasks

Improvements Over Previous Model

Introduced MoE architecture with 671B total parameters vs DeepSeek V2's 236B
Activated parameters per token increased from 21B to 37B
Context window expanded from 128K to 128K (same, but improved efficiency)
Significantly higher benchmark scores: MMLU 88.5% vs 78.4%
Lower pricing: $0.27/$1.10 per 1M tokens vs $0.14/$0.28 (but V3 offers much better performance)
Improved coding performance: HumanEval 82.6% vs 79.2%
Faster inference due to optimized MoE routing

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