Qwen3-8B

reasoning

Qwen3-8B represents a new tier in the series. With 8.2 billion parameters, this model retains an architecture of 36 layers and 32 attention heads, but introduces several important improvements — it no longer uses tied embeddings, and its context window has been expanded to 40K tokens, enabling excellent capabilities for handling long documents and complex tasks.

The doubling of parameter count compared to the 4B version significantly enhances response quality across all task types, especially in mathematical reasoning, programming, and advanced analysis. The model excels in tasks requiring multi-step reasoning and deep contextual understanding. Built-in support for both *thinking* and *non-thinking* modes allows performance optimization based on task complexity and available processing time, while the *Thinking Budget* mechanism enables fine-grained control over computational intensity for optimal efficiency.

Qwen3-8B is ideal for advanced professional applications such as financial analysis, medical diagnostics, and legal practice. It is well-suited for building intelligent assistants for professionals, automated technical documentation systems, and educational platforms.


Announce Date: 29.04.2025
Parameters: 9B
Context: 41K
Layers: 36
Attention Type: Full or Sliding Window Attention
Developer: Qwen
Transformers Version: 4.51.0
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints for free to test inference and explore Qwen3-8B capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU Status Link
There are no public endpoints for this model yet.

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended server configurations for hosting Qwen3-8B

Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa2-1.16.32.160
40,960.0
1 $0.38 22.66 1.223 Launch
teslaa10-1.16.32.160
40,960.0
1 $0.53 77.34 2.516 Launch
rtx3090-1.16.24.160
40,960.0
1 $0.83 124.51 2.689 Launch
rtx3080-2.16.32.160
40,960.0
tensor
2 $0.97 1.830 Launch
rtx4090-1.16.32.160
40,960.0
1 $1.02 145.65 2.682 Launch
rtx3090-2.16.64.160.nvlink
40,960.0
tensor
2 $1.56 6.393 Launch
rtx5090-1.16.64.160
40,960.0
1 $1.59 3.963 Launch
teslaa100-1.16.64.160
40,960.0
1 $2.37 169.11 11.797 Launch
h100-1.16.64.160
40,960.0
1 $3.83 191.66 11.786 Launch
h100nvl-1.16.96.160
40,960.0
1 $4.11 14.061 Launch
teslaa100-2.24.96.160.nvlink
40,960.0
tensor
2 $4.61 24.610 Launch
h200-1.16.128.160
40,960.0
1 $4.74 21.701 Launch
h200-2.24.256.160.nvlink
40,960.0
tensor
2 $9.40 44.416 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa10-1.16.32.160
40,960.0
1 $0.53 51.91 1.737 Launch
teslaa2-2.16.32.160
40,960.0
tensor
2 $0.57 31.88 2.472 Launch
rtx3090-1.16.24.160
40,960.0
1 $0.83 83.49 1.910 Launch
rtx4090-1.16.32.160
40,960.0
1 $1.02 54.08 1.904 Launch
rtx3080-3.16.64.160
40,960.0
pipeline
3 $1.43 2.050 Launch
rtx3090-2.16.64.160.nvlink
40,960.0
tensor
2 $1.56 5.403 Launch
rtx5090-1.16.64.160
40,960.0
1 $1.59 3.184 Launch
rtx3080-4.16.64.160
40,960.0
tensor
4 $1.82 3.261 Launch
teslaa100-1.16.64.160
40,960.0
1 $2.37 126.85 11.019 Launch
h100-1.16.64.160
40,960.0
1 $3.83 11.007 Launch
h100nvl-1.16.96.160
40,960.0
1 $4.11 13.282 Launch
teslaa100-2.24.96.160.nvlink
40,960.0
tensor
2 $4.61 23.620 Launch
h200-1.16.128.160
40,960.0
1 $4.74 20.922 Launch
h200-2.24.256.160.nvlink
40,960.0
tensor
2 $9.40 43.426 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa2-2.16.32.160
40,960.0
tensor
2 $0.57 15.23 1.307 Launch
teslaa10-2.16.64.160
40,960.0
tensor
2 $0.93 3.892 Launch
rtx3090-2.16.64.160
40,960.0
tensor
2 $1.56 80.36 4.471 Launch
rtx3090-2.16.64.160.nvlink
40,960.0
tensor
2 $1.56 4.471 Launch
rtx5090-1.16.64.160
40,960.0
1 $1.59 2.036 Launch
rtx3080-4.16.64.160
40,960.0
tensor
4 $1.82 2.065 Launch
rtx4090-2.16.64.160
40,960.0
tensor
2 $1.92 4.225 Launch
teslaa100-1.16.64.160
40,960.0
1 $2.37 82.02 9.870 Launch
h100-1.16.64.160
40,960.0
1 $3.83 9.859 Launch
h100nvl-1.16.96.160
40,960.0
1 $4.11 12.134 Launch
teslaa100-2.24.96.160.nvlink
40,960.0
tensor
2 $4.61 22.455 Launch
h200-1.16.128.160
40,960.0
1 $4.74 19.774 Launch
h200-2.24.256.160.nvlink
40,960.0
tensor
2 $9.40 42.262 Launch

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