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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 Opus 5.5AnthropicRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. S2 ProFish AudioRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

claude-opus-5.5 vs perceptron-mk1.5 vs s2-pro vs muse-spark-1.3
AttributeClaude Opus 5.5claude-opus-5.5Perceptron Mk1.5perceptron-mk1.5S2 Pros2-proMuse Spark 1.3muse-spark-1.3
Pricing
Input$4.00 / 1M$0.15 / 1M$0 / 1M$1.25 / 1M
Output$20.00 / 1M$1.50 / 1M$0 / 1M$4.25 / 1M
Cache Write (5m)$5.00 / 1M$0.15 / 1MNot applicable$1.25 / 1M
Cache Write (1h)$8.00 / 1M$0.15 / 1MNot applicable$1.25 / 1M
Cache Read$0.40 / 1M$0.15 / 1MNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9KN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesYesNoYes
Catalogue
ProviderAnthropicPerceptronFish AudioMeta
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-07-29—
Description
SummaryClaude 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.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.