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Qwen3 Next 80B A3B vs Pareto 26.9

qwen/qwen3-next-80b-a3b-instruct · unbiased/pareto-26.9

As of November 5, 2026, Qwen3 Next 80B A3B is the cheaper API on UberLLM: $0.0008 per million input tokens and $0.0103 per million output, versus $2.48 / $7.42 for Pareto 26.9, about 100% 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 Qwen3 Next 80B A3B to cut cost; choose Pareto 26.9 when context size wins. Pareto 26.9 carries the larger context window (262,144 vs 256,000 tokens), which can matter for long-document work.

Qwen3 Next 80B A3B vs Pareto 26.9, side by side

SpecQwen3 Next 80B A3BPareto 26.9
Price · input / 1M$0.0008$2.48
Price · output / 1M$0.0103$7.42
Context length256,000262,144
Max output tokens16,384131,072
Input modalitiestexttext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
% off list99.1% off1% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Qwen3 Next 80B A3B vs Pareto 26.9 — FAQ

Is Qwen3 Next 80B A3B or Pareto 26.9 cheaper?

Qwen3 Next 80B A3B is cheaper on a blended token mix, by about 100%. 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 Qwen3 Next 80B A3B and Pareto 26.9?

Qwen3 Next 80B A3B: $0.0008 in / $0.0103 out per 1M tokens. Pareto 26.9: $2.48 in / $7.42 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Qwen3 Next 80B A3B and Pareto 26.9 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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