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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. Kimi K3.1 ProMoonShot AIRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. Muse Spark OpenMetaRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs gemini-3.8-flash vs muse-spark-open vs perceptron-mk1.5
AttributeKimi K3.1 Prokimi-k3.1-proGemini 3.8 Flashgemini-3.8-flashMuse Spark Openmuse-spark-openPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M$0.75 / 1M$1.25 / 1M$0.15 / 1M
Output$10.00 / 1M$3.75 / 1M$4.25 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1M$0.75 / 1M$1.25 / 1M$0.15 / 1M
Cache Write (1h)$2.00 / 1M$0.75 / 1M$1.25 / 1M$0.15 / 1M
Cache Read$2.00 / 1M$0.75 / 1M$1.25 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesYes
Catalogue
ProviderMoonShot AIGoogleMetaPerceptron
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-09-25
Description
SummaryKimi 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.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.