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Qwen3 Coder Next

invited beta chatCodeReasoningTool calling

Alibaba's next-gen Qwen3 coding model with enhanced reasoning and tool use.

Input
$0.11/M
Output
$0.8/M
Cache read
$0.022/M
Context
262K
vs GPT-4o
~98% cheaper

Benchmarks

Qwen3 Coder Next: 5 published, but no benchmark it shares with enough other models to compare.

Qwen3 Coder Next other models measured peer average ★ no peer scored higher
Aider
66.2%

Vendor-published: Alibaba (Qwen)

Price in context

Where the price sits among 68 comparable models

Input$0.11/M
$0.1 · Dola Seed 2.0 Mini GPT-5.4 Pro · $30
Output$0.8/M
$0.275 · DeepSeek V4 Flash GPT-5.4 Pro · $180
Cache read$0.022/M
$0.01 · Claude Haiku 5.5 GPT-5.4 Pro · $15

The bar shows how this model’s price compares with every other model of the same kind on Synthorai. The cheapest and the most expensive are named at each end. These are base rates; batch, region and cache-write discounts are on the pricing page.

Specs & limits

Prompt caching

How it caches automatic + explicit
Min prefix 1,024
Lifetime explicit: 5m, reset on hit
Write cost 1.25x

Use Qwen3 Coder Next 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-coder-next",
    messages=[{"role": "user", "content": "Summarize this diff"}],
    reasoning_effort="medium",
)
print(resp.choices[0].message.content)

FAQ

Is the Qwen3 Coder Next API free to try?

Qwen3 Coder Next is currently in invited beta: access is application-based rather than open signup. Apply from the Synthorai console; once approved, standard pay-as-you-go pricing applies with no subscription.

How much does Qwen3 Coder Next cost?

Qwen3 Coder Next costs $0.11 per million input tokens and $0.8 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.

What is Qwen3 Coder Next's context window?

Qwen3 Coder Next has a context window of 262K tokens on Synthorai.

Does Qwen3 Coder Next 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 $0.11/M uncached; prompts need a 1,024-token stable prefix to cache (TTL explicit: 5m, reset on hit). Prompt caching guide →

How do I get access to Qwen3 Coder Next?

Qwen3 Coder Next is in invited beta: request access from the Synthorai console. Once approved it works like every other model: point your OpenAI SDK at base_url="https://synthorai.io/v1" and set model="qwen3-coder-next".

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Every value on this page is transcribed from the vendor's own documentation, linked above, and carries the date it was checked. Prices are compared across the catalogue; specification values that vendors define differently are shown with the difference stated rather than charted. Nothing here is measured by us, and nothing is scored.

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