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.

Perceptron Mk1.5Perceptron Remove
Claude Sonnet 5.5Anthropic Remove
DeepSeek V4.1 FlashDeepSeek Remove
Qwen3 ASR 0.6BQwen Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs claude-sonnet-5.5 vs deepseek-v4.1-flash vs qwen3-asr-0.6b
Attribute	Perceptron Mk1.5perceptron-mk1.5	Claude Sonnet 5.5claude-sonnet-5.5	DeepSeek V4.1 Flashdeepseek-v4.1-flash	Qwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input	$0.15 / 1M	$2.00 / 1M	$0.30 / 1M	$0 / 1M
Output	$1.50 / 1M	$10.00 / 1M	$1.20 / 1M	$0 / 1M
Cache Write (5m)	$0.15 / 1M	$2.50 / 1M	$0.30 / 1M	Not applicable
Cache Write (1h)	$0.15 / 1M	$4.00 / 1M	$0.30 / 1M	Not applicable
Cache Read	$0.15 / 1M	$0.20 / 1M	$0.30 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	1M	1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	No
Function Calling	No	Yes	Yes	No
JSON Mode	No	Yes	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	Perceptron	Anthropic	DeepSeek	Qwen
Category	chat	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	—	—	2026-08-13
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Claude 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.	DeepSeek 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.	Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.