Qwen3 Max
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:$0.6113/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 Max 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-max",
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-max",
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-max",
"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-max",
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-max")
.addUserMessage("Summarize this diff")
.reasoningEffort(ReasoningEffort.MEDIUM)
.build());
System.out.println(resp.choices().get(0).message().content().orElse(""));About Qwen3 Max
Qwen3-Max is the Qwen team's trillion-parameter-scale flagship, introduced in the official post "Qwen3-Max: Just Scale" with a 256K-token context.
- Alibaba reports state-of-the-art results across its own evaluations of knowledge, reasoning, coding, instruction following, agent tasks, and multilingual understanding.
- The line ships in Instruct form alongside a Thinking variant that integrates a code interpreter and adaptive tool use for harder reasoning problems.
- As the largest model of the Qwen3 series, it targets demanding production workloads.
- Synthorai offers it through the OpenAI-compatible chat endpoint.
Specs & limits
| Max output (vendor spec) | 65,536 |
| Modalities | text → text |
| Parameters | 1T+ total (MoE) |
| Features | tools · structured_output · streaming · batch · reasoning · parallel_tool_calls · caching |
| Notable | First trillion-plus-parameter Qwen flagship (closed weights), text-only; officially positioned for agentic coding and tool calling; hybrid thinking, disabled by default. |
| Prompt caching | automatic + explicit · TTL explicit: 5m, reset on hit |
FAQ
Is the Qwen3 Max API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $1.2/M input tokens, that credit alone covers roughly 104 requests of ~8K tokens against Qwen3 Max.
What is Qwen3 Max best at?
Trillion-parameter-scale flagship with 256K context, plus thinking variant integrates a code interpreter and adaptive tool use for harder reasoning. See the About section for the full picture from the vendor's own release notes.
How much does Qwen3 Max cost?
Qwen3 Max costs $1.2 per million input tokens and $6 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.359/M.
Does Qwen3 Max support prompt caching?
Yes: automatic caching is on by default, with an explicit mode for guaranteed savings. Cached input tokens bill at $0.359/M vs $1.2/M uncached (TTL explicit: 5m, reset on hit). Prompt caching guide →
How do I get access to Qwen3 Max?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="qwen3-max", and you're done. One API key covers every model on the gateway.