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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

Muse Spark OpenMeta Remove
Qwen3.8 27BAlibaba Remove
Perceptron Mk1.5Perceptron Remove

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DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
Nemotron 3.5 Super VL
Gemini 4 Argon
Muse Wonder
Gemini 3.1 Flash Lite Image (Google Vertex AI)
Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
Gemini 3.1 Flash Image (Google Vertex AI)Enterprise & partner access

muse-spark-open vs qwen3.8-27b vs perceptron-mk1.5
Attribute	Muse Spark Openmuse-spark-open	Qwen3.8 27Bqwen3.8-27b	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$1.25 / 1M	$0.45 / 1M	$0.15 / 1M
Output	$4.25 / 1M	$3.20 / 1M	$1.50 / 1M
Cache Write (5m)	$1.25 / 1M	$0.45 / 1M	$0.15 / 1M
Cache Write (1h)	$1.25 / 1M	$0.45 / 1M	$0.15 / 1M
Cache Read	$1.25 / 1M	$0.45 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	262K	36.9K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	Yes	Yes	No
JSON Mode	Yes	Yes	No
Streaming	Yes	Yes	Yes
Catalogue
Provider	Meta	Alibaba	Perceptron
Category	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25
Description
Summary	Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.	Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.