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Qwen: Qwen3.8 Omni Flash vs GLM 5.3

qwen/qwen3.8-omni-flash · z-ai/glm-5.3

As of November 2, 2026, Qwen: Qwen3.8 Omni Flash is the cheaper API on UberLLM: $0.0002 per million input tokens and $0.0006 per million output, versus $0.0104 / $0.0327 for GLM 5.3, about 98% 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: Qwen3.8 Omni Flash to cut cost; choose GLM 5.3 when its capabilities fit your task better.

Qwen: Qwen3.8 Omni Flash vs GLM 5.3, side by side

SpecQwen: Qwen3.8 Omni FlashGLM 5.3
Price · input / 1M$0.0002$0.0104
Price · output / 1M$0.0006$0.0327
Context length1,000,0001,000,000
Max output tokens131,072131,072
Input modalitiestext, image, video, audiotext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYesYes
% off list99.9% off98.7% off
First token, median (7 days)—3.8 s (517 requests)

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Qwen: Qwen3.8 Omni Flash vs GLM 5.3 — FAQ

Is Qwen: Qwen3.8 Omni Flash or GLM 5.3 cheaper?

Qwen: Qwen3.8 Omni Flash is cheaper on a blended token mix, by about 98%. 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: Qwen3.8 Omni Flash and GLM 5.3?

Qwen: Qwen3.8 Omni Flash: $0.0002 in / $0.0006 out per 1M tokens. GLM 5.3: $0.0104 in / $0.0327 out per 1M tokens. That's roughly a 98% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Qwen: Qwen3.8 Omni Flash and GLM 5.3 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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