Qwen3 8B
A compact starting point for reasoning, chat, and your first self-hosted deployment.
- Published size
- 8.2B
- Active parameters
- 8.2B
- Context window
- 32K native
- Architecture
- Dense
- License
- Apache 2.0
Deployment considerations
A useful small-model baseline. Start with a short context and measure the additional latency of thinking mode separately.
The publisher lists 8.2 billion total parameters. Weight estimates here use that count, not the rounded model name.
The native context is 32,768 tokens. The published 131,072-token configuration uses YaRN and needs separate validation.
Thinking and non-thinking requests should be benchmarked separately: the number of generated tokens can change substantially.
Give your model
some breathing room.
This is not a fit guarantee. KV cache, activations, quantization metadata, and the runtime still need memory.
Decimal GB; nominal parameter counts where marked ~. Bit widths illustrate weight storage, not validated quantizations. Understand the estimate
No invented leaderboards.
Latency, throughput, and cost per token will appear here after a reproducible run. Until then, this page helps you understand the model—not predict its performance.
Qwen3 8B deployment FAQ
How much GPU memory does Qwen3 8B need?
At 16-bit precision, the estimated weight storage is 16.4 GB. At 8-bit it is 8.2 GB, and at 4-bit it is 4.1 GB. These are theoretical weight-only estimates, excluding KV cache, runtime allocations, and quantization metadata. A working deployment needs additional memory and a supported checkpoint.
Has BenchGrid benchmarked Qwen3 8B?
Not yet. This profile contains publisher specifications and calculated weight-memory estimates. We do not currently publish measured latency, throughput, or cost per token for this model.
Where do these specifications come from?
The specifications are based on the official Alibaba model card linked on this page. Memory estimates use the stated total parameter count, including inactive experts for MoE models. Nominal model sizes are labeled with ~.
Explore your compute options.
Check available hardware, quotas, and current pricing with the provider. These links are not verified deployments or performance recommendations.
