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Gemini 3.1 Pro vs Meta: Muse Spark 1.3 Contributor

google/gemini-3.1-pro · meta-llama/muse-spark-1.3-contributor

As of November 5, 2026, Meta: Muse Spark 1.3 Contributor is the cheaper API on UberLLM: $0.0200 per million input tokens and $0.0400 per million output, versus $0.2196 / $1.32 for Gemini 3.1 Pro, about 97% 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 Meta: Muse Spark 1.3 Contributor to cut cost; choose Gemini 3.1 Pro when its capabilities fit your task better.

Gemini 3.1 Pro vs Meta: Muse Spark 1.3 Contributor, side by side

SpecGemini 3.1 ProMeta: Muse Spark 1.3 Contributor
Price · input / 1M$0.2196$0.0200
Price · output / 1M$1.32$0.0400
Context length1,048,5761,048,576
Max output tokens65,536943,718
Input modalitiestext, imagetext, image, video, audio, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list—80% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Gemini 3.1 Pro vs Meta: Muse Spark 1.3 Contributor — FAQ

Is Gemini 3.1 Pro or Meta: Muse Spark 1.3 Contributor cheaper?

Meta: Muse Spark 1.3 Contributor is cheaper on a blended token mix, by about 97%. 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 3.1 Pro and Meta: Muse Spark 1.3 Contributor?

Gemini 3.1 Pro: $0.2196 in / $1.32 out per 1M tokens. Meta: Muse Spark 1.3 Contributor: $0.0200 in / $0.0400 out per 1M tokens. That's roughly a 97% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 3.1 Pro and Meta: Muse Spark 1.3 Contributor 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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