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Meta: Muse Spark 1.2 Contributor vs Qwen 3.8 27B

meta-llama/muse-spark-1.2-contributor · qwen/qwen-3-8-27b

As of November 4, 2026, Qwen 3.8 27B is the cheaper API on UberLLM: $0.0002 per million input tokens and $0.0025 per million output, versus $0.0300 / $0.0600 for Meta: Muse Spark 1.2 Contributor, about 96% 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 Qwen 3.8 27B to cut cost; choose Meta: Muse Spark 1.2 Contributor when context size wins. Meta: Muse Spark 1.2 Contributor carries the larger context window (1,048,576 vs 262,144 tokens), which can matter for long-document work.

Meta: Muse Spark 1.2 Contributor vs Qwen 3.8 27B, side by side

SpecMeta: Muse Spark 1.2 ContributorQwen 3.8 27B
Price · input / 1M$0.0300$0.0002
Price · output / 1M$0.0600$0.0025
Context length1,048,576262,144
Max output tokens943,71865,536
Input modalitiestext, image, video, audio, filetext, image, video
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list70% off99.9% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Meta: Muse Spark 1.2 Contributor vs Qwen 3.8 27B — FAQ

Is Meta: Muse Spark 1.2 Contributor or Qwen 3.8 27B cheaper?

Qwen 3.8 27B is cheaper on a blended token mix, by about 96%. 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 Meta: Muse Spark 1.2 Contributor and Qwen 3.8 27B?

Meta: Muse Spark 1.2 Contributor: $0.0300 in / $0.0600 out per 1M tokens. Qwen 3.8 27B: $0.0002 in / $0.0025 out per 1M tokens. That's roughly a 96% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Meta: Muse Spark 1.2 Contributor and Qwen 3.8 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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