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Gemini 2.5 Flash vs Qwen3 VL 235B A22B

google/gemini-2.5-flash · qwen/qwen3-vl-235b-a22b-instruct

As of October 26, 2026, Qwen3 VL 235B A22B is the cheaper API on UberLLM: $0.0042 per million input tokens and $0.0380 per million output, versus $0.0060 / $0.0500 for Gemini 2.5 Flash — about 24% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with no UberLLM fee added, so the price you see is the price you pay. Choose Qwen3 VL 235B A22B to cut cost; choose Gemini 2.5 Flash when context size wins — Gemini 2.5 Flash carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.

Gemini 2.5 Flash vs Qwen3 VL 235B A22B, side by side

SpecGemini 2.5 FlashQwen3 VL 235B A22B
Price · input / 1M$0.0060$0.0042
Price · output / 1M$0.0500$0.0380
Context length1,048,576256,000
Max output tokens65,5358,000
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
Cheapest sellerUberLLMUberLLM
% off list98% off98% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 26, 2026.

Gemini 2.5 Flash vs Qwen3 VL 235B A22B — FAQ

Is Gemini 2.5 Flash or Qwen3 VL 235B A22B cheaper?

Qwen3 VL 235B A22B is cheaper on a blended token mix, by about 24%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.

What's the price difference between Gemini 2.5 Flash and Qwen3 VL 235B A22B?

Gemini 2.5 Flash: $0.0060 in / $0.0500 out per 1M tokens. Qwen3 VL 235B A22B: $0.0042 in / $0.0380 out per 1M tokens. That's roughly a 24% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Flash and Qwen3 VL 235B A22B 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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