R1 Distill Qwen 14B

DeepSeek R1 Distill Qwen 14B is a distilled large language model based on [Qwen 2.5 14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models. Other benchmark results include: - AIME 2024 pass@1: 69.7 - MATH-500 pass@1: 93.9 - CodeForces Rating: 1481 The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

by DeepSeek

Overview

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Score

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Avg Latency

0ms

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Pricing

$0.15 in / $0.15 out

per 1M tokens

Context

33K

tokens

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Benchmark Performance

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Score Over Time

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Quickstart

View on OpenRouter

Get started with this model using OpenRouter

import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "deepseek/deepseek-r1-distill-qwen-14b",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

Get your API key at openrouter.ai/keys

Other Models from DeepSeek

Compare performance with other models from the same creator

Model	Latency	Cost/1M	Score
DeepSeek V4 Pro	12.3s	$0.65	59%
DeepSeek V4 Flash	5.0s	$0.17	55%
DeepSeek V3.2 Speciale	149.1s	$0.36	52%
DeepSeek V3.2	36.7s	$0.32	40%
DeepSeek V3.1	52.2s	$0.50	—
DeepSeek R1 0528 Qwen3 8B	—	$0.07	—
DeepSeek Prover V2	—	$1.34	—
R1 Distill Qwen 32B	53.5s	$0.29	—
DeepSeek V3.1 Terminus	20.0s	$0.61	—
R1	109.7s	$1.60	—
R1 0528	120.7s	$1.32	—
DeepSeek V3.2 Exp	79.4s	$0.34	—
DeepSeek V3	19.8s	$0.60	—
R1 Distill Llama 70B	33.8s	$0.75	—
DeepSeek V3 0324	15.2s	$0.49	—