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QwenReleased on Sep 22, 2025

Qwen3 VL 4B Thinking: Benchmarks, Pricing & Context Window

Qwen3 VL 4B Thinking is a language model from Qwen, released in September 2025, with multimodal input.

Qwen3-VL is a large multimodal model that unifies vision, language, and reasoning to achieve human-level perception and cognition across text, images, and video. Built on a 235B-parameter architecture, it integrates early joint training of

Input
TextImage
Output
Text

Qwen3 VL 4B Thinking benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Qwen3 VL 4B Thinking across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Qwen3 VL 4B Thinking holds up as conversations get longer.

Quality Tracker

Qwen3 VL 4B Thinking Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Thu Oct 08 2026
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Qwen3 VL 4B Thinking pricing

Providers

Qwen3 VL 4B Thinking starts at $0.100 per million input tokens and $1.00 per million output tokens via DeepInfra.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepInfra logoDeepInfra
$0.100—$1.00262.1K/262.1K
—
—
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

Qwen3 VL 4B Thinking model size

Qwen3 VL 4B Thinking has 4 billion parameters. See how it compares to other models in the same parameter range.

Parameters
4B
Small (3–10B)
4B
1B7B70B405B

Qwen3 VL 4B Thinking context window

Input and output token limits for Qwen3 VL 4B Thinking, plus how it ranks on long-context understanding.

InputOutput
262Ktokens
262Ktokens
≈ 394 pages of text
262K
8K128K1M

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Qwen3 VL 4B Thinking latency

Qwen3 VL 4B Thinking time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Qwen3 VL 4B Thinking examples

Recent arena outputs from Qwen3 VL 4B Thinking, picked from the highest-ranked matchups.

Qwen3 VL 4B Thinking license

Qwen3 VL 4B Thinking is released under the Apache 2.0 license, which permits commercial use, has 4.0B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
4.0B

Apache License 2.0 - allows commercial use

Qwen3 VL 4B Thinking resources

Official sources for Qwen3 VL 4B Thinking: provider documentation, official playground, official launch post, source repository, model weights.

Qwen3 VL 4B Thinking vs other models

The most-compared alternatives to Qwen3 VL 4B Thinking are Llama 3.1 Nemotron Ultra 253B v1, Llama 3.1 405B Instruct, GPT-4o. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Qwen3 VL 4B Thinking

Models ranked just above and below Qwen3 VL 4B Thinking by LLM Stats score.

 

Llama 3.1 Nemotron Ultra 253B v1

Score pending
 

Llama 3.1 405B Instruct

Score pending
 

GPT-4o

Score pending
 

Nemotron Nano 9B v2

Score pending
 

Phi 4 Reasoning

Score pending
 

DeepSeek R1 Distill Qwen 32B

Score pending

FAQ

Common questions about Qwen3 VL 4B Thinking.

When was Qwen3 VL 4B Thinking released?

Qwen3 VL 4B Thinking was released on September 22, 2025 by Qwen. This is the official Qwen3 VL 4B Thinking release date tracked on LLM Stats.

How much does Qwen3 VL 4B Thinking cost?

Qwen3 VL 4B Thinking pricing starts at $0.10 per million input tokens and $1.00 per million output tokens via DeepInfra, the lowest price among tracked providers.

How big is Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking has 4 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking was created by Qwen.

What is the license for Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Qwen3 VL 4B Thinking multimodal?

Yes, Qwen3 VL 4B Thinking is multimodal and can accept both text and images as input.

Where can I use Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is available through 1 provider including DeepInfra.

Where is the Qwen3 VL 4B Thinking paper or technical report?

Qwen3 VL 4B Thinking has a paper or technical report available at https://qwen.ai/blog?id=99f0335c4ad9ff6153e517418d48535ab6d8afef&from=research.latest-advancements-list. Use that source for architecture, training, release and evaluation details.

What models should I compare Qwen3 VL 4B Thinking against?

Common Qwen3 VL 4B Thinking comparisons include Qwen3 VL 4B Thinking vs Llama 3.1 Nemotron Ultra 253B v1, Qwen3 VL 4B Thinking vs Llama 3.1 405B Instruct, Qwen3 VL 4B Thinking vs GPT-4o. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.