DeepSeek: R1 Distill Qwen 1.5B

128K Context
0.18/M Input Tokens
0.18/M Output Tokens

DeepSeek
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07 Feb, 2025

DeepSeek R1 Distill Qwen 1.5B is a distilled large language model based on Qwen 2.5 Math 1.5B, using outputs from DeepSeek R1. It’s a very small and efficient model which outperforms GPT 4o 0513 on Math Benchmarks.

Other benchmark results include:

AIME 2024 pass@1: 28.9
AIME 2024 cons@64: 52.7
MATH-500 pass@1: 83.9

The model leverages fine-tuning from DeepSeek R1’s outputs, enabling competitive performance comparable to larger frontier models.

DeepSeek V3

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1. Introduction We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-eff ...

DeepSeek 62.5K context $0.14/M input tokens $0.28/M output tokens

DeepSeek V3

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DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported ...

DeepSeek 62.5K context $0.14/M input tokens $0.28/M output tokens