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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 ASR 0.6BQwenRemove
  3. Muse Spark 1.3MetaRemove
  4. Claude Opus 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs qwen3-asr-0.6b vs muse-spark-1.3 vs claude-opus-5.5
AttributePerceptron Mk1.5perceptron-mk1.5Qwen3 ASR 0.6Bqwen3-asr-0.6bMuse Spark 1.3muse-spark-1.3Claude Opus 5.5claude-opus-5.5
Pricing
Input$0.15 / 1M$0 / 1M$1.25 / 1M$4.00 / 1M
Output$1.50 / 1M$0 / 1M$4.25 / 1M$20.00 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$1.25 / 1M$5.00 / 1M
Cache Write (1h)$0.15 / 1MNot applicable$1.25 / 1M$8.00 / 1M
Cache Read$0.15 / 1MNot applicable$1.25 / 1M$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderPerceptronQwenMetaAnthropic
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-08-13——
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.Claude Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks.