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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. GPT-6 LunaOpenAIRemove
  3. Muse Spark 1.3MetaRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

claude-opus-5.5 vs gpt-6-luna vs muse-spark-1.3 vs s1
AttributeClaude Opus 5.5claude-opus-5.5GPT-6 Lunagpt-6-lunaMuse Spark 1.3muse-spark-1.3S1s1
Pricing
Input$4.00 / 1M$0.10 / 1M$1.25 / 1M$0 / 1M
Output$20.00 / 1M$0.50 / 1M$4.25 / 1M$0 / 1M
Cache Write (5m)$5.00 / 1M$0.10 / 1M$1.25 / 1MNot applicable
Cache Write (1h)$8.00 / 1M$0.10 / 1M$1.25 / 1MNot applicable
Cache Read$0.40 / 1M$0.10 / 1M$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1.1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderAnthropicOpenAIMetaFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-07-29
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.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.