Model
Model explorer

Qwen3-8B (Non-Thinking)

OPEN
Alibaba · Qwen3 family · released Apr 29, 2025

Fast non-thinking mode variant of the same 8B dense weights, for low-latency dialogue.

ReasoningCodingVisionFunction callingTool useAgentic
900.6
Elo · rank #246
Parameters
8.2B
Active params
8.2B (dense)
Context
128K tokens
Architecture
Dense transformer, GQA + SwiGLU + QK-Norm
License
Apache 2.0
Languages
119+
API price (in/out)
$0.072 / $0.287
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
AIMEMath29.1%#137
best: GPT-5.2 · 100.0%
Arena-HardHuman preference79.6%#27
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
BFCL v3Agents60.2%#27
best: Hunyuan-A13B · 78.3%
C-EvalKnowledge77.9%#36
best: Qwen3.6-Plus · 93.3%
CodeforcesCoding1110#43
best: DeepSeek-V4-Pro (Think Max) · 3206
GPQA DiamondReasoning39.3%#231
best: GPT-6 Astra · 96.0%
Humanity's Last ExamReasoning3.0%#144
best: Claude Opus 5 · 64.7%
IFBenchReasoning29.0%#73
best: MiniMax M3 · 83.0%
IFEvalReasoning83.0%#83
best: Gemma 4 26B A4B · 98.5%
LiveCodeBenchCoding22.8%#163
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MATH-500Math87.4%#54
best: GPT-5 · 99.4%
MMLU-ReduxKnowledge79.5%#35
best: Qwen3.7-Max · 95.0%
MMMLUKnowledge66.9%#46
best: Gemini 3.1 Pro · 92.6%
Run it locally
VRAM @ Q4
5.1 GB
VRAM @ FP16
16.4 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
Throughput data unavailable.
Quantizations
GGUF · AWQ · GPTQ · MLX
Fine-tune it
Permissive
QLoRA7.2 GB1× RTX 3060 12GB
LoRA19.1 GB1× RTX 3090 24GB
Full fine-tune133.2 GB1× H200 141GB
QLoRA SFT on ~10k samples ≈ $4.80 (1× RTX 3060 12GB)
API price $0.072/$0.287 · each benchmark row carries its own source badge (see methodology)