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DeepSeek: R1 Distill Qwen 14B (free)
Qwen
Input: text
Output: text
Released: Jan 29, 2025•Updated: May 2, 2025
DeepSeek R1 Distill Qwen 14B is a distilled large language model based on Qwen 2.5 14B, using outputs from 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.
64,000 Token Context
Process and analyze large documents and conversations.
Hybrid Reasoning
Choose between rapid responses and extended, step-by-step processing for complex tasks.
Advanced Coding
Improved capabilities in front-end development and full-stack updates.
Agentic Workflows
Autonomously navigate multi-step processes with improved reliability.
Available On
| Provider | Model ID | Context | Max Output | Input Cost | Output Cost | Throughput | Latency |
|---|---|---|---|---|---|---|---|
| NovitaAI | novitaAi | 64K | 64K | $0.15/M | $0.15/M | 46.1 t/s | 1272 ms |
| Together | together | 131K | 33K | $1.60/M | $1.60/M | 172.7 t/s | 536 ms |
Standard Pricing