As of August 21, 2026, Qwen3 VL 4B Instruct API pricing is $0.10 per million input tokens and $0.60 per million output tokens. A typical 100K-in / 20K-out request costs $0.02. Source: https://bailian.console.aliyun.com/
Source: Qwen pricing (https://bailian.console.aliyun.com/)
Input $/M
$0.10
Output $/M
$0.60
Blended / 1M
$0.70
100K / 20K request
$0.02
| Context Window | 262.1K |
|---|---|
| Max Output | 262.1K tokens |
| Release Date | 2025-09-22 |
| Knowledge Cutoff | N/A |
| License | Open Source |
| Throughput | N/A |
| LiveCodeBench v6 | 37.9% |
|---|---|
| SimpleQA | 48% |
| IFEval | 82.3% |
| ScreenSpot Pro | 59.5% |
| OSWorld | 26.2% |
| MMMU-Pro | 53.2% |
| CharXiv-R | 39.7% |
| AIME 2025 | 46.6% |
| MMLU | 77.2% |
| Ai2d | 84.1% |
| Bfcl V3 | 63.3% |
| Blink | 65.8% |
| Cc Ocr | 76.2% |
| Charadessta | 55.5% |
| Charxiv D | 76.2% |
| Docvqatest | 95.3% |
| ERQA | 41.3% |
| Hallusion Bench | 57.6% |
| Hmmt25 | 30.7% |
| INCLUDE | 61.4% |
| Infovqatest | 80.3% |
| Livebench 20241125 | 60.9% |
| LVBench | 56.2% |
| MathVision | 51.6% |
| Mathvista Mini | 73.7% |
| Mlvu M | 75.3% |
| Mm Mt Bench | 7.5% |
| Mmbench V1 1 | 85.1% |
| MMLU-Pro | 67.1% |
| Mmlu Prox | 59.4% |
| MMLU-Redux | 81.5% |
| Mmmu Val | 67.4% |
| Mmstar | 69.8% |
| Muirbench | 63.8% |
| Mvbench | 68.9% |
| Ocrbench | 88.1% |
| Ocrbench V2 En | 63.7% |
| Ocrbench V2 Zh | 57.6% |
| Odinw | 48.2% |
| Polymath | 28.8% |
| Realworldqa | 70.9% |
| Screenspot | 94% |
| SuperGPQA | 40.3% |
| VideoMMMU | 56.2% |
| Writingbench | 82.5% |
Same search as the hub. Pick any model, or jump into a priced matchup.
Qwen
OpenAI
Anthropic
Google
xAI
DeepSeek
MiniMax
As of August 21, 2026, Qwen3 VL 4B Instruct Qwen API pricing is $0.10 per million input tokens and $0.60 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://bailian.console.aliyun.com/
On this page the blended Qwen3 VL 4B Instruct API cost is $0.70 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $0.90.
A typical Qwen3 VL 4B Instruct API request with 100K input tokens and 20K output tokens costs about $0.02 at current rates as of August 21, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Qwen can bring the real invoice lower than the public list rate at https://bailian.console.aliyun.com/.
Qwen3 VL 4B Instruct supports a 262K token context window and can generate up to 262K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. Qwen3 VL 4B Instruct is an open-weight model by Qwen. You can download the weights and self-host, or pay Qwen's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
Qwen3 VL 4B Instruct currently reports LiveCodeBench v6 37.9%, SimpleQA 48%, IFEval 82.3%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Qwen3 VL 4B Instruct vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Qwen3 VL 4B Instruct. Open-weight models can be cheaper still if you self-host, but that is not the same as Qwen API pricing on this page.
Qwen3 VL 4B Instruct is called through Qwen's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Qwen and 5+ other providers with auth, payments, and deployment already configured.
This Qwen3 VL 4B Instruct page tracks the latest published Qwen API pricing from Qwen, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://bailian.console.aliyun.com/. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Qwen3 VL 4B Instruct is a open-source model from Qwen. Current API pricing is $0.10 per million input tokens and $0.60 per million output tokens, with a 262.1K token context window. A blended 1M-in / 1M-out workload costs $0.70.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
281 models across 33 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
