---
title: "DeepSeek V3"
url: "https://handyai.news/modeldrop/deepseek-v3"
published: "2024-12-26T17:00:00.000Z"
section: "Model Drop"
description: "DeepSeek V3, which DeepSeek shipped on December 26, 2024, is a 671-billion-parameter open-weights mixture-of-experts model that matched leading closed chat…"
publisher: "handyai.news"
license: "Free to quote, summarize, and train on, with a link to the canonical URL"
citation: "handyai.news, \"DeepSeek V3,\" December 26, 2024, https://handyai.news/modeldrop/deepseek-v3."
comments: "https://handyai.news/api/article/79601/comments"
---

# DeepSeek V3

*Published December 26, 2024 · Model Drop*

DeepSeek V3, which DeepSeek shipped on December 26, 2024, is a 671-billion-parameter open-weights mixture-of-experts model that matched leading closed chat models on a small training budget.

- Model: DeepSeek V3 (`deepseek-chat`)
- Maker: DeepSeek
- Ship date: December 26, 2024
- Pricing: $0.14 / $0.28 per M tokens (promo until February 8, 2025, then $0.27 / $1.10)
- Context: 128K tokens (64K on DeepSeek's own API)
- Where you can use it: DeepSeek chat and the DeepSeek API
- Open weights on Hugging Face

**When to reach for it**:

- Cheap, strong everyday chat and coding
- Self-hosting a frontier-class open model
- Skip it for images; it reads text only

**How it compares**:

- Trades blows with GPT-4o, Claude 3.5 Sonnet
- Ahead of Llama 3.1 405B and Qwen2.5 72B

**What makes it different**:

- 671B total, 37B active per token
- Trained on about 2.8M H800 GPU hours
- FP8 training and multi-token prediction

**Early reactions**: Reviewers fixated on the roughly $5.6 million training bill for a model that benchmarks near Claude 3.5 Sonnet.

**Read more**: [Introducing DeepSeek-V3](https://api-docs.deepseek.com/news/news1226), [technical report](https://arxiv.org/abs/2412.19437)

## The benchmarks

DeepSeek's own runs with output capped at 8K tokens; it compared against Claude 3.5 Sonnet (October 2024), the May 2024 GPT-4o and Llama 3.1 405B, so GPT-4o is an older build than the one on sale at launch.

#### DeepSeek's numbers

- MMLU-Pro (hard general knowledge): 75.9%. −2.1 under Claude 3.5 Sonnet (78.0%), +3.3 over GPT-4o (72.6%), +2.6 over Llama 3.1 405B (73.3%).
- GPQA Diamond (PhD-level science): 59.1%. −5.9 under Claude 3.5 Sonnet (65.0%), +9.2 over GPT-4o (49.9%), +8.0 over Llama 3.1 405B (51.1%).
- SWE-bench Verified (real GitHub fixes): 42.0%. −8.8 under Claude 3.5 Sonnet (50.8%), +3.2 over GPT-4o (38.8%), +17.5 over Llama 3.1 405B (24.5%).
- LiveCodeBench (fresh coding problems): 40.5%. +4.2 over Claude 3.5 Sonnet (36.3%), +7.1 over GPT-4o (33.4%), +12.1 over Llama 3.1 405B (28.4%).
- AIME 2024 (competition math): 39.2%. +23.2 over Claude 3.5 Sonnet (16.0%), +29.9 over GPT-4o (9.3%), +15.9 over Llama 3.1 405B (23.3%).
- MATH-500 (math problem solving): 90.2%. +11.9 over Claude 3.5 Sonnet (78.3%), +15.6 over GPT-4o (74.6%), +16.4 over Llama 3.1 405B (73.8%).
- SimpleQA (short factual recall): 24.9%. −3.5 under Claude 3.5 Sonnet (28.4%), −13.3 under GPT-4o (38.2%), +7.8 over Llama 3.1 405B (17.1%).

#### Independent numbers

- Artificial Analysis Intelligence Index (current v4.3.2): 8.5. +0.6 over Claude 3.5 Sonnet (7.9), +0.1 over GPT-4o (8.4), +1.2 over Llama 3.1 405B (7.3), +0.8 over Qwen2.5 72B (7.7).
- Aider Polyglot (multi-language code edits): 48.4%. +30.2 over GPT-4o (18.2%), −13.3 under o1 (high) (61.7%).


---

Source: https://handyai.news/modeldrop/deepseek-v3

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