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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. Gemini 3.5 TranscribeGoogleRemove
  2. S1Fish AudioRemove
  3. Claude Opus 5.5AnthropicRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs s1 vs claude-opus-5.5 vs muse-spark-1.3
AttributeGemini 3.5 Transcribegemini-3.5-transcribeS1s1Claude Opus 5.5claude-opus-5.5Muse Spark 1.3muse-spark-1.3
Pricing
Input$0 / 1M$0 / 1M$4.00 / 1M$1.25 / 1M
Output$0 / 1M$0 / 1M$20.00 / 1M$4.25 / 1M
Cache Write (5m)Not applicableNot applicable$5.00 / 1M$1.25 / 1M
Cache Write (1h)Not applicableNot applicable$8.00 / 1M$1.25 / 1M
Cache ReadNot applicableNot applicable$0.40 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3KN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderGoogleFish AudioAnthropicMeta
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-29——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.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.