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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 4.6 (Thinking)AnthropicRemove
  2. Transcribe 1 ProFish AudioRemove
  3. GPT-6 LunaOpenAIRemove
claude-opus-4-6-thinking vs transcribe-1-pro vs gpt-6-luna
AttributeClaude Opus 4.6 (Thinking)claude-opus-4-6-thinkingTranscribe 1 Protranscribe-1-proGPT-6 Lunagpt-6-luna
Pricing
Input$4.00 / 1M$0 / 1M$0.10 / 1M
Output$20.00 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)$5.00 / 1MNot applicable$0.10 / 1M
Cache Write (1h)$8.00 / 1MNot applicable$0.10 / 1M
Cache Read$0.40 / 1MNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderAnthropicFish AudioOpenAI
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-24—
Description
SummaryOpus 4.6 is Anthropic's most capable model for coding and long-running professional workflows, designed for agents that operate across entire workflows rather than single prompts. It demonstrates strong performance on large codebases, complex refactoring, and multi-step debugging, with improved contextual understanding, deeper problem decomposition, and higher reliability on challenging engineering tasks compared to earlier generations. Beyond software development, Opus 4.6 excels at sustained knowledge work, producing near production-ready documents, technical plans, and analyses in a single pass while maintaining coherence across long outputs and extended sessions. Its strength in persistence, judgment, and structured execution makes it well suited for technical design, migration planning, and end-to-end project execution.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. 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.