Model
Model explorer
Qwen3-14B (Thinking)
OPENAlibaba · Qwen3 family · released Apr 29, 2025
Mid-size Gen-3 dense model, thinking-mode setting; Apache 2.0.
ReasoningCodingVisionFunction callingTool useAgentic
1382.9
Elo · rank #156
Parameters
14.8B
Active params
14.8B (dense)
Context
128K tokens
Architecture
Dense Transformer (GQA, QK-Norm, hybrid thinking mode)
License
Apache 2.0
Languages
119+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: GPT-5.2 · 100.0%
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
best: Hunyuan-A13B · 78.3%
best: Qwen3.6-Plus · 93.3%
best: DeepSeek-V4-Pro (Think Max) · 3206
best: Claude Fable 5 · 1932
best: GPT-6 Astra · 96.0%
best: Claude Opus 5 · 64.7%
best: MiniMax M3 · 83.0%
best: Gemma 4 26B A4B · 98.5%
best: DeepSeek-V4-Pro (Think Max) · 93.5%
best: GPT-5 · 99.4%
best: Qwen3.7-Max · 95.0%
best: Gemini 3.1 Pro · 92.6%
best: Gemini 3.8 Flash · 89.4%
Run it locally
VRAM @ Q4
8.4 GB
VRAM @ FP16
29.6 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
~60 tok/s on RTX 4090 (Q4, llama.cpp)
Quantizations
GGUF Q4 · GGUF · FP8
Fine-tune it
PermissiveQLoRA11.3 GB1× RTX 3060 12GB
LoRA32.8 GB1× A100 80GB
Full fine-tune238.8 GB2× H200 141GB
QLoRA SFT on ~10k samples ≈ $8.66 (1× RTX 3060 12GB)
Qwen3 family
Elo progression across releases
Qwen3-14B (Non-Thinking)Apr 20251060.2Qwen3-14B (Thinking)Apr 20251382.9Qwen3-235B-A22B (Non-Thinking)Apr 20251213.0Qwen3-235B-A22B (Thinking)Apr 20251516.1Qwen3-30B-A3B (Non-Thinking)Apr 20251070.4Qwen3-30B-A3B (Thinking)Apr 20251452.3Qwen3-32B (Non-Thinking)Apr 20251097.1Qwen3-32B (Thinking)Apr 20251484.0Qwen3-8B (Non-Thinking)Apr 2025900.6Qwen3-8B (Thinking)Apr 20251311.4Qwen3-235B-A22B-Instruct-2507Jul 20251559.3Qwen3-235B-A22B-Thinking-2507Jul 20251827.4
API price weights · each benchmark row carries its own source badge (see methodology)