DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 14B
DeepSeek R1 Distill Llama 70B and DeepSeek R1 Distill Qwen 14B are closely matched at 14.1 and 10.6 on the LLM Stats Score.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and DeepSeek R1 Distill Qwen 14B are closely matched on the overall LLM Stats Score at 14.1 and 10.6.
In the 4 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 4; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
Choose DeepSeek R1 Distill Qwen 14B
- you are already invested in the DeepSeek ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 4 for DeepSeek R1 Distill Qwen 14B
DeepSeek R1 Distill Llama 70B outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Qwen 14B is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Distill Llama 70B has 55.8B more parameters than DeepSeek R1 Distill Qwen 14B, making it 377.0% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Both models were released on 2025-01-20.
They likely represent similar generations of model development.
Jan 20, 2025
1.7 years ago
Jan 20, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and DeepSeek R1 Distill Qwen 14B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 14B.
Related comparisons
More DeepSeek R1 Distill Llama 70B comparisons
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- DeepSeek R1 Distill Llama 70B vs Muse Spark Open
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More DeepSeek R1 Distill Qwen 14B comparisons
- DeepSeek R1 Distill Qwen 14B vs MiniMax M3.1 Flash
- DeepSeek R1 Distill Qwen 14B vs DeepSeek-V4.1-Flash-1017
- DeepSeek R1 Distill Qwen 14B vs Nemotron Labs Dory 1.0 (4B)
- DeepSeek R1 Distill Qwen 14B vs Muse Spark Open
- DeepSeek R1 Distill Qwen 14B vs Nemotron 3.5 Bolt (74B A9B 24GB)
- DeepSeek R1 Distill Qwen 14B vs Nemotron 3.5 Super VL (120B A12B)