NewPoint any agent at UberLLM — one key, every model, list price or less.

Gemini 2.5 Flash vs Qwen3 30B A3B

google/gemini-2.5-flash · qwen/qwen3-30b-a3b

As of October 31, 2026, Gemini 2.5 Flash is the cheaper API on UberLLM: $0.0039 per million input tokens and $0.0325 per million output, versus $0.0517 / $0.2152 for Qwen3 30B A3B, about 85% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Gemini 2.5 Flash to cut cost; choose Qwen3 30B A3B when its capabilities fit your task better.

Gemini 2.5 Flash vs Qwen3 30B A3B, side by side

SpecGemini 2.5 FlashQwen3 30B A3B
Price · input / 1M$0.0039$0.0517
Price · output / 1M$0.0325$0.2152
Context length1,048,576256,000
Max output tokens65,53532,768
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
Reasoning—Yes
% off list99% off57% off

Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Gemini 2.5 Flash vs Qwen3 30B A3B — FAQ

Is Gemini 2.5 Flash or Qwen3 30B A3B cheaper?

Gemini 2.5 Flash is cheaper on a blended token mix, by about 85%. 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 Gemini 2.5 Flash and Qwen3 30B A3B?

Gemini 2.5 Flash: $0.0039 in / $0.0325 out per 1M tokens. Qwen3 30B A3B: $0.0517 in / $0.2152 out per 1M tokens. That's roughly a 85% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Flash and Qwen3 30B A3B 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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