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This 14-billion-parameter distilled model excels at reasoning tasks and general-purpose applications with a massive 131K token context window, making it ideal for developers and researchers seeking cost-effective performance on complex problem-solving, long-document analysis, and multi-turn conversations at just $1.60 per million input tokens.
Best for
Local run command
# Refer to provider docs: https://www.together.xyz/docs
Presumptive Specs:
Typical GPU
12–24 GB VRAM
System RAM
16+ GB
Disk
20+ GB free
Runtime
Docker / local runtime
Reference links
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
Not enough historical data yet. Check back after the next pricing sync.
Provider
Learn how to use DeepSeek R1 Distill Qwen 14B
💡 Tip: Start with the sample prompts above to see how DeepSeek R1 Distill Qwen 14B works best.
Proven prompts shared by the community for this model