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Qwen 3.8 27B vs Qwen3 Coder 30B A3B Instruct

qwen/qwen-3-8-27b · qwen/qwen3-coder-30b-a3b-instruct

As of November 3, 2026, Qwen 3.8 27B is the cheaper API on UberLLM: $0.0002 per million input tokens and $0.0024 per million output, versus $0.0007 / $0.0028 for Qwen3 Coder 30B A3B Instruct, about 16% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Qwen 3.8 27B to cut cost; choose Qwen3 Coder 30B A3B Instruct when its capabilities fit your task better.

Qwen 3.8 27B vs Qwen3 Coder 30B A3B Instruct, side by side

SpecQwen 3.8 27BQwen3 Coder 30B A3B Instruct
Price · input / 1M$0.0002$0.0007
Price · output / 1M$0.0024$0.0028
Context length262,144256,000
Max output tokens65,53616,000
Input modalitiestext, image, videotext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYes—
% off list99.9% off99% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 3, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Qwen 3.8 27B vs Qwen3 Coder 30B A3B Instruct — FAQ

Is Qwen 3.8 27B or Qwen3 Coder 30B A3B Instruct cheaper?

Qwen 3.8 27B is cheaper on a blended token mix, by about 16%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Qwen 3.8 27B and Qwen3 Coder 30B A3B Instruct?

Qwen 3.8 27B: $0.0002 in / $0.0024 out per 1M tokens. Qwen3 Coder 30B A3B Instruct: $0.0007 in / $0.0028 out per 1M tokens. That's roughly a 16% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Qwen 3.8 27B and Qwen3 Coder 30B A3B Instruct with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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