Qwen 3 14B vs Qwen 3 8B
Side-by-side specs, benchmarks, and a verdict by use case.
Updated 2026-07-13
| Spec | Qwen 3 14B | Qwen 3 8B |
|---|---|---|
| Parameters | 14B | 8B |
| Author | Alibaba | Alibaba |
| License | Apache 2.0 | Apache 2.0 |
| Context window | 0k | 0k |
| VRAM at Q4 | 9 GB | 5 GB |
| VRAM at Q5 | 11 GB | 6 GB |
| VRAM at Q8 | 16 GB | 9 GB |
| VRAM at FP16 | 28 GB | 16 GB |
| Use cases | chat, general, reasoning, multilingual | chat, general, reasoning, multilingual |
Verdict
Qwen 3 14B is significantly larger (14B vs 8B), so expect higher quality but heavier VRAM and slower throughput.
The two models at a glance
About Qwen 3 14B
A 14B dense model from Alibaba that matches Qwen 2.5 32B Base on STEM and code, with the same hybrid thinking system as the rest of the Qwen 3 family. The pragmatic sweet spot for a single 24GB GPU. Strengths: Matches Qwen 2.5 32B Base on STEM and code at less than half the size, Hybrid thinking mode for harder reasoning passes, 131K context window, Apache 2.0.
About Qwen 3 8B
Alibaba's 8B dense model with a toggleable thinking mode and broad multilingual coverage. Punches well above its weight for an 8B and runs comfortably on a single consumer GPU. Strengths: Hybrid thinking/fast modes switchable per request, Strong multilingual performance across 119 languages, Up to 131K context via YaRN (32K native), Apache 2.0 — clean commercial use.
How they compare
Qwen 3 14B comes from Alibaba and Qwen 3 8B from Alibaba. This comparison is built entirely from structured specs — parameter count, VRAM by quantization, context window, license, and published benchmark scores — so the verdict below reflects measurable differences rather than marketing claims.
At 14B vs 8B parameters, Qwen 3 14B is the larger of the two. At Q4, Qwen 3 8B fits in about 5 GB of VRAM versus 9 GB for the other — a 4 GB difference that matters on consumer GPUs.
The two models target different sweet spots: Qwen 3 14B is tuned for chat, general, reasoning, multilingual, while Qwen 3 8B leans toward chat, general, reasoning, multilingual. Match the model to your dominant workload rather than to raw size.
On a typical mid-range GPU, Qwen 3 8B pushes roughly 35 tokens/sec versus 20, so it is the more responsive choice for interactive or high-volume use.
Memory, quantization & throughput
Across quantization levels, Qwen 3 14B requires Q4 ≈ 9 GB, Q5 ≈ 11 GB, Q8 ≈ 16 GB, FP16 ≈ 28 GB, while Qwen 3 8B requires Q4 ≈ 5 GB, Q5 ≈ 6 GB, Q8 ≈ 9 GB, FP16 ≈ 16 GB. In practice Qwen 3 14B needs a 12 GB card at Q4, so plan your GPU around the Q4 or Q5 figure unless you specifically need the higher fidelity of Q8 or FP16.
Without a GPU, Qwen 3 14B needs roughly 16 GB of system RAM to run on CPU and Qwen 3 8B about 10 GB — workable for offline use but far slower than GPU inference. On a mid-range GPU you can expect on the order of 20 tokens/sec from Qwen 3 14B and 35 from Qwen 3 8B, scaling up to 55 and 90 tokens/sec on high-end hardware.
Which fits your GPU
Here is the highest-quality quantization of each model that fits common GPU memory budgets, so you can match Qwen 3 14B or Qwen 3 8B to the card you actually own:
- On a 8 GB GPU: Qwen 3 14B does not fit; Qwen 3 8B runs at Q5 (6 GB).
- On a 12 GB GPU: Qwen 3 14B runs at Q5 (11 GB); Qwen 3 8B runs at Q8 (9 GB).
- On a 16 GB GPU: Qwen 3 14B runs at Q8 (16 GB); Qwen 3 8B runs at FP16 (16 GB).
- On a 24 GB GPU: Qwen 3 14B runs at Q8 (16 GB); Qwen 3 8B runs at FP16 (16 GB).
Benchmark scores
Reported benchmarks for Qwen 3 14B: MMLU (base) 81.05, SuperGPQA 34.27.
Reported benchmarks for Qwen 3 8B: MMLU-Pro 68.7, GPQA 60, LiveCodeBench 54.4.
Bottom line: which should you pick?
- Pick Qwen 3 8B for lower VRAM and faster inference; pick Qwen 3 14B for maximum headline quality.
Which GPU should you buy to run Qwen 3 14B?
To run Qwen 3 14B locally at Q4, you need ~9 GB of VRAM. The best value for this is a RTX 5070 (12 GB VRAM).
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Frequently asked questions
What is the difference between Qwen 3 14B and Qwen 3 8B?
The headline differences: Qwen 3 14B is a 14B model and Qwen 3 8B is 8B. Below we break down VRAM by quantization, benchmark scores, and a use-case verdict so you can pick the right one.
Can Qwen 3 14B and Qwen 3 8B run on a 24 GB GPU?
At a Q4 quantization, Qwen 3 14B needs about 9 GB of VRAM and fits comfortably on a 24 GB GPU; Qwen 3 8B needs about 5 GB and fits comfortably on a 24 GB GPU. Qwen 3 8B is the lighter option for tight VRAM budgets.
Which is faster, Qwen 3 14B or Qwen 3 8B?
Qwen 3 8B is the smaller model (8B vs 14B), so on the same hardware it runs faster and uses less memory. The larger model trades speed for headline quality.
What licenses do Qwen 3 14B and Qwen 3 8B use?
Qwen 3 14B is licensed under Apache 2.0 and Qwen 3 8B under Apache 2.0.