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: 131K
Layers: 36
Attention Type: Full or Sliding Window Attention
VRAM requirements: 22.4 GB using 4 bits quantization
Developer: Qwen
Transformers Version: 4.51.0
Ollama Version: 0.6.6
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 TPS 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 configurations for hosting Qwen3-4B

Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-2.16.32.160
131,072.0
16 32768 160 2 $0.54 Launch
teslaa2-2.16.32.160
131,072.0
16 32768 160 2 $0.57 Launch
rtx2080ti-3.12.24.120
131,072.0
12 24576 120 3 $0.84 Launch
teslaa10-2.16.64.160
131,072.0
16 65536 160 2 $0.93 Launch
teslav100-1.12.64.160
131,072.0
12 65536 160 1 $1.20 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
16 65536 160 2 $1.23 Launch
rtx3080-3.16.64.160
131,072.0
16 65536 160 3 $1.43 Launch
rtx5090-1.16.64.160
131,072.0
16 65536 160 1 $1.59 Launch
rtx3090-2.16.64.160
131,072.0
16 65536 160 2 $1.67 Launch
rtx4090-2.16.64.160
131,072.0
16 65536 160 2 $2.19 Launch
teslaa100-1.16.64.160
131,072.0
16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160
131,072.0
16 65536 160 1 $5.11 Launch
h200-1.16.128.160
131,072.0
16 131072 160 1 $6.98 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-2.16.32.160
131,072.0
16 32768 160 2 $0.54 Launch
teslaa2-2.16.32.160
131,072.0
16 32768 160 2 $0.57 Launch
teslaa10-2.16.64.160
131,072.0
16 65536 160 2 $0.93 Launch
rtx2080ti-3.16.64.160
131,072.0
16 65536 160 3 $0.95 Launch
teslav100-1.12.64.160
131,072.0
12 65536 160 1 $1.20 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
16 65536 160 2 $1.23 Launch
rtx5090-1.16.64.160
131,072.0
16 65536 160 1 $1.59 Launch
rtx3090-2.16.64.160
131,072.0
16 65536 160 2 $1.67 Launch
rtx3080-4.16.64.160
131,072.0
16 65536 160 4 $1.82 Launch
rtx4090-2.16.64.160
131,072.0
16 65536 160 2 $2.19 Launch
teslaa100-1.16.64.160
131,072.0
16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160
131,072.0
16 65536 160 1 $5.11 Launch
h200-1.16.128.160
131,072.0
16 131072 160 1 $6.98 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-3.32.64.160
131,072.0
32 65536 160 3 $0.88 Launch
teslaa10-2.16.64.160
131,072.0
16 65536 160 2 $0.93 Launch
teslaa2-3.32.128.160
131,072.0
32 131072 160 3 $1.06 Launch
rtx2080ti-4.16.32.160
131,072.0
16 32768 160 4 $1.12 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
16 65536 160 2 $1.23 Launch
rtx3090-2.16.64.160
131,072.0
16 65536 160 2 $1.67 Launch
rtx4090-2.16.64.160
131,072.0
16 65536 160 2 $2.19 Launch
teslav100-2.16.64.240
131,072.0
16 65535 240 2 $2.22 Launch
teslaa100-1.16.64.160
131,072.0
16 65536 160 1 $2.58 Launch
rtx5090-2.16.64.160
131,072.0
16 65536 160 2 $2.93 Launch
teslah100-1.16.64.160
131,072.0
16 65536 160 1 $5.11 Launch
h200-1.16.128.160
131,072.0
16 131072 160 1 $6.98 Launch

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Need help?

Contact our dedicated neural networks support team at nn@immers.cloud or send your request to the sales department at sale@immers.cloud.