Models

DeepSeek V4.1-Flash-1017 vs Muse Spark Open

DeepSeek V4.1-Flash-1017 (DeepSeek) and Muse Spark Open (Meta) are two tools in the “Models” category of the OrigoTech directory. This page puts the information from their tool pages side by side: 12 criteria are filled in for both tools. No editorial opinion: every value comes from the tool page, which cites its sources.

Tool page data · Verified

Comparison table

Comparison table — DeepSeek V4.1-Flash-1017, Muse Spark Open
CriterionDeepSeek V4.1-Flash-1017Muse Spark Open
VendorDeepSeekMeta
PricingFreemiumFree
Pricing detailsWeights and repository under the MIT License (source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017). Paid DeepSeek API (deepseek-flash model): $0.30 input (cache miss) and $1.20 output per million tokens at peak hours, half price off-peak (source: https://api-docs.deepseek.com/quick_start/pricing).Free weights on Hugging Face; API via Baseten, Fireworks AI, Groq, OpenRouter, Together AI and others (source: research.meta.ai/blog/muse-spark-open).
LicenseMITMuse Model License, not open source: it requires displaying "Built with Muse Spark Open" in every product that uses it (section 2) and a separate written agreement with Meta to offer it as an API ("Model as a Service") above $20M revenue over 12 months (section 3) (source: huggingface.co/meta-models/Muse-Spark-Open-816B-A42B).
Open sourceYesNo
Open weightsYesYes
PlatformsLocal, APIAPI, Local
Context window1 million tokens1 million tokens
Context (tokens)1,000,000 Source1,000,000 Source
Reference modelDeepSeek V4.1-Flash-1017Muse Spark Open (816B-A42B)
Input price ($/M tokens)$0.3 Source—
Output price ($/M tokens)$1.2 Source—
Coding score77% (DeepSWE v1.1) Source60% (DeepSWE v1.1) Source
Release
Updated on

“—”: information not filled in on the tool page.

What they have in common

Differences

Sources

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