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Gemma 4 E2B vs Qwen 3.6 35B A3B

google/gemma-4-e2b · qwen/qwen3-6-35b-a3b

As of November 2, 2026, Gemma 4 E2B is the cheaper API on UberLLM: $0.0020 per million input tokens and $0.0040 per million output, versus $0.0049 / $0.0485 for Qwen 3.6 35B A3B, about 91% 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 Gemma 4 E2B to cut cost; choose Qwen 3.6 35B A3B when context size wins. Qwen 3.6 35B A3B carries the larger context window (262,144 vs 128,000 tokens), which can matter for long-document work.

Gemma 4 E2B vs Qwen 3.6 35B A3B, side by side

SpecGemma 4 E2BQwen 3.6 35B A3B
Price · input / 1M$0.0020$0.0049
Price · output / 1M$0.0040$0.0485
Context length128,000262,144
Max output tokens128,000262,144
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
Reasoning—Yes
% off list95.1% off95.2% off

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?

Gemma 4 E2B vs Qwen 3.6 35B A3B — FAQ

Is Gemma 4 E2B or Qwen 3.6 35B A3B cheaper?

Gemma 4 E2B is cheaper on a blended token mix, by about 91%. 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 Gemma 4 E2B and Qwen 3.6 35B A3B?

Gemma 4 E2B: $0.0020 in / $0.0040 out per 1M tokens. Qwen 3.6 35B A3B: $0.0049 in / $0.0485 out per 1M tokens. That's roughly a 91% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemma 4 E2B and Qwen 3.6 35B 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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