Qwen3 VL Flash
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:$0.0304/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 Flash 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-flash",
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-flash",
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-flash",
"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-flash",
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-flash")
.addUserMessage("Summarize this diff")
.reasoningEffort(ReasoningEffort.MEDIUM)
.build());
System.out.println(resp.choices().get(0).message().content().orElse(""));About Qwen3 VL Flash
Qwen3-VL Flash is the fast, cost-efficient tier of the Qwen3-VL vision-language series with a 256K-token context.
- Per the official Model Studio docs it handles single- and multi-image input, video frame analysis, image captioning, visual question answering, 2D and 3D object localization, and document parsing into HTML or Markdown.
- It is a hybrid thinking model: it can reason step by step before answering or respond directly, with thinking disabled by default.
- Synthorai serves it for multimodal chat via the OpenAI-compatible endpoint.
Specs & limits
| Modalities | text + image + video → text |
| Features | tools · structured_output · streaming · vision · batch · reasoning · parallel_tool_calls · caching |
| Notable | Small-size Qwen3-VL visual-understanding model; hybrid thinking (off by default); video input up to 1 hour / 2GB; structured output in non-thinking mode only. |
| Prompt caching | automatic + explicit · TTL explicit: 5m, reset on hit |
FAQ
Is the Qwen3 VL Flash API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $0.05/M input tokens, that credit alone covers roughly 2,500 requests of ~8K tokens against Qwen3 VL Flash.
What is Qwen3 VL Flash best at?
2D and 3D object localization, plus document parsing into HTML or Markdown and hybrid thinking, disabled by default. See the About section for the full picture from the vendor's own release notes.
How much does Qwen3 VL Flash cost?
Qwen3 VL Flash costs $0.05 per million input tokens and $0.4 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.022/M.
Does Qwen3 VL Flash support prompt caching?
Yes: automatic caching is on by default, with an explicit mode for guaranteed savings. Cached input tokens bill at $0.022/M vs $0.05/M uncached (TTL explicit: 5m, reset on hit). Prompt caching guide →
How do I get access to Qwen3 VL Flash?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="qwen3-vl-flash", and you're done. One API key covers every model on the gateway.