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

DeepSeek V4 Flash vs Gemma 3 27B

deepseek/deepseek-v4-flash · google/gemma-3-27b-it

As of October 27, 2026, Gemma 3 27B is the cheaper API on UberLLM: $0.0008 per million input tokens and $0.0020 per million output, versus $0.0075 / $0.0413 for DeepSeek V4 Flash — about 95% 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 27B to cut cost; choose DeepSeek V4 Flash when context size wins — DeepSeek V4 Flash carries the larger context window (1,048,576 vs 40,000 tokens), which can matter for long-document work.

DeepSeek V4 Flash vs Gemma 3 27B, side by side

SpecDeepSeek V4 FlashGemma 3 27B
Price · input / 1M$0.0075$0.0008
Price · output / 1M$0.0413$0.0020
Context length1,048,57640,000
Max output tokens65,5364,096
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
ReasoningYes—
Cheapest sellerVietapiUberLLM
% off list85% off99% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 27, 2026.

DeepSeek V4 Flash vs Gemma 3 27B — FAQ

Is DeepSeek V4 Flash or Gemma 3 27B cheaper?

Gemma 3 27B is cheaper on a blended token mix, by about 95%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.

What's the price difference between DeepSeek V4 Flash and Gemma 3 27B?

DeepSeek V4 Flash: $0.0075 in / $0.0413 out per 1M tokens. Gemma 3 27B: $0.0008 in / $0.0020 out per 1M tokens. That's roughly a 95% blended difference. Prices are live; UberLLM adds no fee.

Can I use both DeepSeek V4 Flash and Gemma 3 27B 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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