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Comparison of Meta: Muse Spark 1.3, Llama-4-Scout-17B-16E-Instruct
2 modelsmetaMeta: Muse Spark 1.3Remove ×meta-llamaLlama-4-Scout-17B-16E-InstructRemove ×
What’s differentMuse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance…
DateSep 2, 2026ListedApr 2, 2025Listed
Listed rate$1.25 in / $4.25 out/ 1M tokensMeta · via OpenRouter · all routes ↗meta$0.08 in / $0.24 out/ 1M tokensDeepInfra · via OpenRouter · all routes ↗deepinfra/fp8/flex · tier=flex · quantization=fp8
Provider endpoints2 endpoints →9 endpoints →
Context window1M1.3M
Max output943.7K16.4K
Parameters—17B
Tool callingSupportedSupported
Structured outputSupportedSupported
Image inputSupportedSupported
Video inputSupportedNot reported
ReasoningSupportedNot reported
Prompt cachingSupportedNot reported
Open weightsNot reportedSupported

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