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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. Perceptron Mk1.5PerceptronRemove
  2. Qwen3.8 2.4T A95BAlibabaRemove
  3. Kimi K3.1 ProMoonShot AIRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs qwen3.8-2.4t-a95b vs kimi-k3.1-pro vs gemini-4-argon
AttributePerceptron Mk1.5perceptron-mk1.5Qwen3.8 2.4T A95Bqwen3.8-2.4t-a95bKimi K3.1 Prokimi-k3.1-proGemini 4 Argongemini-4-argon
Pricing
Input$0.15 / 1M$1.80 / 1M$2.00 / 1M$2.00 / 1M
Output$1.50 / 1M$5.40 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1M$1.80 / 1M$2.00 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1M$1.80 / 1M$2.00 / 1M$2.00 / 1M
Cache Read$0.15 / 1M$1.80 / 1M$2.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K262K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderPerceptronAlibabaMoonShot AIGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25———
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Qwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights.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.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.