Last refreshed 2026-05-22. Next refresh: weekly.
Why use Qwen3-Coder-480B-A35B-Instruct on Novita AI?
Novita AI offers Qwen3-Coder-480B-A35B-Instruct with pay-as-you-go pricing at $0.38/1M input tokens. Novita AI offers a GPU-based inference API for image, video, and language model generation with a broad catalog of open-source models.
Compare Qwen3-Coder-480B-A35B-Instruct across 6 providers to find the best fit for your use caseSetup recipe
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Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare Qwen3-Coder-480B-A35B-Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $1.20 | $1.20 |
| GCP Vertex AI | $0.22 | $1.80 |
| NVIDIA NIM | — | — |
| AWS Bedrock | — | — |
| Vercel AI Gateway | $1.50 | $7.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.38 |
| Output tokens | $1.55 |
Capabilities
About Qwen3-Coder-480B-A35B-Instruct
Qwen3-Coder-480B-A35B-Instruct is Alibaba's Qwen3-Coder model focused on code generation and software engineering. It offers a 256K-token context window.
FAQ
What does Qwen3-Coder-480B-A35B-Instruct cost on Novita AI?
On Novita AI, Qwen3-Coder-480B-A35B-Instruct costs $0.38 per 1M input tokens and $1.55 per 1M output tokens.
What is the context window for Qwen3-Coder-480B-A35B-Instruct on Novita AI?
Qwen3-Coder-480B-A35B-Instruct supports a 262,144 token context window on Novita AI.
How does Novita AI compare to other Qwen3-Coder-480B-A35B-Instruct providers?
Qwen3-Coder-480B-A35B-Instruct is available from 6 providers. The cheapest input pricing is $0.22/1M tokens from GCP Vertex AI.
What API model ID do I use for Qwen3-Coder-480B-A35B-Instruct on Novita AI?
Use the model ID qwen3-coder-480b-a35b-instruct when calling Novita AI's API.
Who created Qwen3-Coder-480B-A35B-Instruct?
Qwen3-Coder-480B-A35B-Instruct was created by Alibaba as part of the Qwen3-Coder model family.
Is Qwen3-Coder-480B-A35B-Instruct open source?
Qwen3-Coder-480B-A35B-Instruct is open source under Apache 2.0 according to the seed data.