Skip to content

Compare models

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

  1. Qwen 3 Max (0123)AlibabaRemove
  2. Kimi K3.1 ProMoonShot AIRemove
  3. Muse Spark OpenMetaRemove
qwen3-max-2026-01-23 vs kimi-k3.1-pro vs muse-spark-open
AttributeQwen 3 Max (0123)qwen3-max-2026-01-23Kimi K3.1 Prokimi-k3.1-proMuse Spark Openmuse-spark-open
Pricing
Input$1.25 / 1M$2.00 / 1M$1.25 / 1M
Output$5.00 / 1M$10.00 / 1M$4.25 / 1M
Cache Write (5m)$1.25 / 1M$2.00 / 1M$1.25 / 1M
Cache Write (1h)$1.25 / 1M$2.00 / 1M$1.25 / 1M
Cache Read$1.25 / 1M$2.00 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAlibabaMoonShot AIMeta
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryQwen3-Max-Thinking is Alibaba's latest flagship reasoning-enhanced large language model, evolving the Qwen3-Max architecture to emphasize deep, multi-step analytical reasoning and tool collaboration. It scales the model's capacity significantly—reportedly to over 1 trillion parameters—and integrates a “Thinking Mode” where the model can expose and leverage step-by-step reasoning traces before producing final answers, enabling more reliable solutions to complex problems such as advanced mathematics, logic, and multi-stage tasks.Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution.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.