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Gemma 3 12B IT vs Qwen3 VL 235B A22B

google/gemma-3-12b-it · qwen/qwen3-vl-235b-a22b-instruct

As of October 26, 2026, Gemma 3 12B IT is the cheaper API on UberLLM: $0.0010 per million input tokens and $0.0030 per million output, versus $0.0042 / $0.0380 for Qwen3 VL 235B A22B — about 92% 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 Gemma 3 12B IT to cut cost; choose Qwen3 VL 235B A22B when context size wins — Qwen3 VL 235B A22B carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.

Gemma 3 12B IT vs Qwen3 VL 235B A22B, side by side

SpecGemma 3 12B ITQwen3 VL 235B A22B
Price · input / 1M$0.0010$0.0042
Price · output / 1M$0.0030$0.0380
Context length128,000256,000
Max output tokens8,0008,000
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.

Gemma 3 12B IT vs Qwen3 VL 235B A22B — FAQ

Is Gemma 3 12B IT or Qwen3 VL 235B A22B cheaper?

Gemma 3 12B IT is cheaper on a blended token mix, by about 92%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.

What's the price difference between Gemma 3 12B IT and Qwen3 VL 235B A22B?

Gemma 3 12B IT: $0.0010 in / $0.0030 out per 1M tokens. Qwen3 VL 235B A22B: $0.0042 in / $0.0380 out per 1M tokens. That's roughly a 92% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemma 3 12B IT 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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