Qwen3 VL 4B Instruct: API Pricing, Context Window & Benchmarks
Qwen3 VL 4B Instruct is a language model from Qwen, released in September 2025, with multimodal input, a 262K-token context window, and pricing from $0.100/M input and $0.600/M output.
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
Qwen3 VL 4B Instruct benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
How Qwen3 VL 4B Instruct performs across real-world prompt categories.
Performance by conversation depth
How Qwen3 VL 4B Instruct holds up as conversations get longer.
Quality Tracker
Qwen3 VL 4B Instruct Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Mon Aug 24 2026Qwen3 VL 4B Instruct pricing
Providers
Qwen3 VL 4B Instruct starts at $0.100 per million input tokens and $0.600 per million output tokens via DeepInfra.
| Provider | Input $/M | Cached input $/M | Output $/M | Context in / out | TTFT p95 s | Output p5 c/s | Modalities in / out |
|---|---|---|---|---|---|---|---|
 DeepInfra | $0.100 | — | $0.600 | 262.1K/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 Instruct model size
Qwen3 VL 4B Instruct has 4 billion parameters. See how it compares to other models in the same parameter range.
Qwen3 VL 4B Instruct context window
Input and output token limits for Qwen3 VL 4B Instruct, plus how it ranks on long-context understanding.
Qwen3 VL 4B Instruct API
Run a request to see the response
Use it in your code
Billed at $0.10 input / $0.60 output per 1M tokens through the LLM Stats gateway.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://gateway.llm-stats.com/v1"
)
response = client.chat.completions.create(
model="qwen3-vl-4b-instruct",
messages=[
{"role": "user", "content": "What is machine learning?"}
]
)
print(response.choices[0].message.content)Need an API key? Create one above in the playground, or read the API documentation.
Qwen3 VL 4B Instruct latency
Qwen3 VL 4B Instruct time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Qwen3 VL 4B Instruct examples
Recent arena outputs from Qwen3 VL 4B Instruct, picked from the highest-ranked matchups.
Qwen3 VL 4B Instruct license
Qwen3 VL 4B Instruct 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 Instruct resources
Official sources for Qwen3 VL 4B Instruct: api documentation, official playground, official launch post, source repository, model weights.
Qwen3 VL 4B Instruct vs other models
The most-compared alternatives to Qwen3 VL 4B Instruct are Command R+, Gemini 1.5 Flash, Ministral 3 (8B Base 2512). Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Qwen3 VL 4B Instruct
Models ranked just above and below Qwen3 VL 4B Instruct by LLM Stats score.
FAQ
Common questions about Qwen3 VL 4B Instruct.