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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.

  1. Muse Spark OpenMetaRemove
  2. Qwen3 VL 235B A22B ThinkingAlibabaRemove
muse-spark-open vs qwen3-vl-235b-a22b-thinking
AttributeMuse Spark Openmuse-spark-openQwen3 VL 235B A22B Thinkingqwen3-vl-235b-a22b-thinking
Pricing
Input$1.25 / 1M$0.30 / 1M
Output$4.25 / 1M$3.00 / 1M
Cache Write (5m)$1.25 / 1M$0.30 / 1M
Cache Write (1h)$1.25 / 1M$0.30 / 1M
Cache Read$1.25 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M131.1K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMetaAlibaba
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryMuse 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-VL-235B-A22B Thinking is a powerful multimodal model that combines advanced text generation with strong image and video understanding, optimized for STEM and math reasoning. It offers robust perception, spatial grounding, and long-form visual comprehension, and supports agent-style interactions such as multi-image dialogue, video timeline alignment, GUI control, and visual-to-code workflows. With competitive benchmark results and strong text-only ability, it’s suited for production uses like document AI, OCR, UI assistance, spatial tasks, and vision-language research.