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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. DeepSeek V4.1 FlashDeepSeekRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Muse Spark OpenMetaRemove
deepseek-v4.1-flash vs perceptron-mk1.5 vs muse-spark-open
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashPerceptron Mk1.5perceptron-mk1.5Muse Spark Openmuse-spark-open
Pricing
Input$0.30 / 1M$0.15 / 1M$1.25 / 1M
Output$1.20 / 1M$1.50 / 1M$4.25 / 1M
Cache Write (5m)$0.30 / 1M$0.15 / 1M$1.25 / 1M
Cache Write (1h)$0.30 / 1M$0.15 / 1M$1.25 / 1M
Cache Read$0.30 / 1M$0.15 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderDeepSeekPerceptronMeta
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryDeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.