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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. Claude Sonnet 5.5AnthropicRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GLM 5V TurboZ.AIRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

claude-sonnet-5.5 vs perceptron-mk1.5 vs glm-5v-turbo vs gemini-3.5-transcribe
AttributeClaude Sonnet 5.5claude-sonnet-5.5Perceptron Mk1.5perceptron-mk1.5GLM 5V Turboglm-5v-turboGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$2.00 / 1M$0.15 / 1M$1.20 / 1M— Not priced per input token
Output$10.00 / 1M$1.50 / 1M$4.00 / 1M— Not priced per output token
Cache Write (5m)$2.50 / 1M$0.15 / 1M$1.20 / 1MNot applicable
Cache Write (1h)$4.00 / 1M$0.15 / 1M$1.20 / 1MNot applicable
Cache Read$0.20 / 1M$0.15 / 1M$1.20 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K202.8K98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesNo
StreamingYesYesYesNo
Catalogue
ProviderAnthropicPerceptronZ.AIGoogle
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-09-25
Description
SummaryClaude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GLM-5V-Turbo is Z.ai's first native multimodal agent foundation model, designed for vision-based coding and agent-driven workflows. It natively supports image, video, and text inputs, enabling integrated multimodal reasoning and execution. The model excels at long-horizon planning, complex coding, and multi-step task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute”, making it well suited for advanced multimodal automation and real-world agent systems.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.