Qwen3 VL Plus
Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing. Effective input at a 70% cache-hit rate:$0.1601/M. Implicit context cache is automatic; an explicit cache_control mode offers deeper discounts (1,024-token minimum blocks, 5-minute TTL that resets on hit). Per-model cached-read prices are in the pricing table.
Use Qwen3 VL Plus in 30 seconds
OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions
from openai import OpenAI
client = OpenAI(
base_url="https://synthorai.io/v1",
api_key="sk-syn-...",
)
resp = client.chat.completions.create(
model="qwen3-vl-plus",
messages=[{"role": "user", "content": "Summarize this diff"}],
reasoning_effort="medium",
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://synthorai.io/v1",
apiKey: "sk-syn-...",
});
const resp = await client.chat.completions.create({
model: "qwen3-vl-plus",
messages: [{ role: "user", content: "Summarize this diff" }],
reasoning_effort: "medium",
});
console.log(resp.choices[0].message.content);curl https://synthorai.io/v1/chat/completions \
-H "Authorization: Bearer sk-syn-..." \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-vl-plus",
"messages": [{"role": "user", "content": "Hello"}],
"reasoning_effort": "medium"
}'package main
import (
"context"
"fmt"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://synthorai.io/v1"),
option.WithAPIKey("sk-syn-..."),
)
resp, _ := client.Chat.Completions.New(context.TODO(), openai.ChatCompletionNewParams{
Model: "qwen3-vl-plus",
Messages: []openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Summarize this diff"),
},
ReasoningEffort: openai.ReasoningEffortMedium,
})
fmt.Println(resp.Choices[0].Message.Content)
}import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.*;
import com.openai.models.ReasoningEffort;
OpenAIClient client = OpenAIOkHttpClient.builder()
.baseUrl("https://synthorai.io/v1")
.apiKey("sk-syn-...")
.build();
ChatCompletion resp = client.chat().completions().create(
ChatCompletionCreateParams.builder()
.model("qwen3-vl-plus")
.addUserMessage("Summarize this diff")
.reasoningEffort(ReasoningEffort.MEDIUM)
.build());
System.out.println(resp.choices().get(0).message().content().orElse(""));About Qwen3 VL Plus
Qwen3-VL Plus is the higher-performance tier of the Qwen3-VL vision-language series, offering a 256K-token context for image- and video-heavy workloads.
- The official documentation describes support for single and multiple image inputs, video frame understanding with adjustable sampling, visual question answering, object detection and localization in 2D and 3D, and document parsing into structured HTML or Markdown.
- Like its Flash sibling it is a hybrid thinking model that can deliberate before responding.
- On Synthorai it is one API call away through the OpenAI-compatible interface.
Specs & limits
| Modalities | text + image + video → text |
| Features | tools · structured_output · streaming · vision · batch · reasoning · computer_use · parallel_tool_calls · caching |
| Notable | Flagship Qwen3-VL visual-understanding model with hybrid thinking; officially claimed visual-agent (GUI operation) capability; video input up to 1 hour / 2GB. |
| Prompt caching | automatic + explicit · TTL explicit: 5m, reset on hit |
FAQ
Is the Qwen3 VL Plus API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $0.2/M input tokens, that credit alone covers roughly 625 requests of ~8K tokens against Qwen3 VL Plus.
What is Qwen3 VL Plus best at?
Video understanding with adjustable sampling, plus object detection in 2D and 3D and 256K context for image- and video-heavy work. See the About section for the full picture from the vendor's own release notes.
How much does Qwen3 VL Plus cost?
Qwen3 VL Plus costs $0.2 per million input tokens and $1.6 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.143/M.
Does Qwen3 VL Plus support prompt caching?
Yes: automatic caching is on by default, with an explicit mode for guaranteed savings. Cached input tokens bill at $0.143/M vs $0.2/M uncached (TTL explicit: 5m, reset on hit). Prompt caching guide →
How do I get access to Qwen3 VL Plus?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="qwen3-vl-plus", and you're done. One API key covers every model on the gateway.