Qwen3-4B

reasoning

Qwen3-4B represents the next level in the series. Built on a deeper architecture with 4 billion parameters, it features 36 layers and double the number of attention heads (32/8), delivering significant improvements in understanding and generation quality across all supported domains.

The model demonstrates substantial advancements in tasks requiring complex, step-by-step reasoning, and its integrated thinking modes allow for adjusting the depth of analysis based on query complexity. With support for 119 languages and superior semantic extraction capabilities, it is especially effective for multilingual document analysis and cross-linguistic tasks.

Qwen3-4B is ideally suited for professional applications that require deep document analysis — such as legal review, scientific research, technical documentation, and literary analysis. The model excels at summarization, multilingual translation, and organizing academic content in educational projects.


Announce Date: 29.04.2025
Parameters: 4B
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 Qwen3-4B capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU Status Link

API access to Qwen3-4B endpoints

There are no public endpoints for this model yet.

Private endpoint

An endpoint is a server with pre-installed software that automatically downloads neural network weights and launches an OpenAI-compatible API to handle incoming requests.

A private endpoint is created within the user's project, belongs exclusively to the user, and is billed per server configuration in accordance with the infrastructure pricing.

We recommend creating private endpoints when you need to:

  • achieve maximum endpoint performance,
  • access the full context window for processing large requests and conversations,
  • ensure maximum security by processing data in a dedicated, isolated environment.

Recommended server configurations for creating a private inference endpoint Qwen3-4B

Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa2-1.16.32.160
40,960.0
1 $0.38 25.36 1.465 Launch
teslaa10-1.16.32.160
40,960.0
1 $0.53 81.55 2.741 Launch
rtx3090-1.16.24.160
40,960.0
1 $0.83 130.63 2.915 Launch
rtx3080-2.16.32.160
40,960.0
tensor
2 $0.97 111.62 1.995 Launch
rtx4090-1.16.32.160
40,960.0
1 $1.02 186.83 2.908 Launch
rtx3090-2.16.64.160.nvlink
40,960.0
tensor
2 $1.56 6.446 Launch
rtx5090-1.16.64.160
40,960.0
1 $1.59 4.189 Launch
teslaa100-1.16.64.160
40,960.0
1 $2.37 12.023 Launch
h100-1.16.64.160
40,960.0
1 $3.83 160.00 11.749 Launch
h100nvl-1.16.96.160
40,960.0
1 $4.11 213.33 14.287 Launch
teslaa100-2.24.96.160.nvlink
40,960.0
tensor
2 $4.61 24.663 Launch
h200-1.16.128.160
40,960.0
1 $4.74 21.926 Launch
h200-2.24.256.160.nvlink
40,960.0
tensor
2 $9.40 44.470 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa2-1.16.32.160
40,960.0
1 $0.38 31.04 1.424 Launch
teslaa10-1.16.32.160
40,960.0
1 $0.53 86.41 2.716 Launch
rtx3090-1.16.24.160
40,960.0
1 $0.83 137.06 2.810 Launch
rtx3080-2.16.32.160
40,960.0
tensor
2 $0.97 114.82 1.967 Launch
rtx4090-1.16.32.160
40,960.0
1 $1.02 78.07 2.883 Launch
rtx3090-2.16.64.160.nvlink
40,960.0
tensor
2 $1.56 6.530 Launch
rtx5090-1.16.64.160
40,960.0
1 $1.59 4.164 Launch
teslaa100-1.16.64.160
40,960.0
1 $2.37 174.75 11.998 Launch
h100-1.16.64.160
40,960.0
1 $3.83 206.52 11.987 Launch
h100nvl-1.16.96.160
40,960.0
1 $4.11 14.262 Launch
teslaa100-2.24.96.160.nvlink
40,960.0
tensor
2 $4.61 24.747 Launch
h200-1.16.128.160
40,960.0
1 $4.74 21.902 Launch
h200-2.24.256.160.nvlink
40,960.0
tensor
2 $9.40 44.553 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa10-1.16.32.160
40,960.0
1 $0.53 51.36 2.116 Launch
teslaa2-2.16.32.160
40,960.0
tensor
2 $0.57 2.927 Launch
rtx3090-1.16.24.160
40,960.0
1 $0.83 82.67 2.289 Launch
rtx3080-2.16.32.160
40,960.0
tensor
2 $0.97 100.95 1.373 Launch
rtx4090-1.16.32.160
40,960.0
1 $1.02 88.67 2.217 Launch
rtx3090-2.16.64.160.nvlink
40,960.0
tensor
2 $1.56 5.936 Launch
rtx5090-1.16.64.160
40,960.0
1 $1.59 3.563 Launch
teslaa100-1.16.64.160
40,960.0
1 $2.37 131.95 11.397 Launch
h100-1.16.64.160
40,960.0
1 $3.83 11.386 Launch
h100nvl-1.16.96.160
40,960.0
1 $4.11 13.661 Launch
teslaa100-2.24.96.160.nvlink
40,960.0
tensor
2 $4.61 24.153 Launch
h200-1.16.128.160
40,960.0
1 $4.74 21.301 Launch
h200-2.24.256.160.nvlink
40,960.0
tensor
2 $9.40 43.959 Launch

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