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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. Muse Spark 1.3MetaRemove
  3. Nova-3DeepgramRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

claude-sonnet-5.5 vs muse-spark-1.3 vs nova-3 vs gpt-6-luna
AttributeClaude Sonnet 5.5claude-sonnet-5.5Muse Spark 1.3muse-spark-1.3Nova-3nova-3GPT-6 Lunagpt-6-luna
Pricing
Input$2.00 / 1M$1.25 / 1M$0 / 1M$0.10 / 1M
Output$10.00 / 1M$4.25 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)$2.50 / 1M$1.25 / 1MNot applicable$0.10 / 1M
Cache Write (1h)$4.00 / 1M$1.25 / 1MNot applicable$0.10 / 1M
Cache Read$0.20 / 1M$1.25 / 1MNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderAnthropicMetaDeepgramOpenAI
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-07-15—
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.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.Deepgram Nova-3 speech-to-text. Billed per second of audio.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.