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.
- Whisper 1OpenAIRemove
- Muse Spark 1.3MetaRemove
- Gemini 3.8 FlashGoogleRemove
- Gemini 3.7 FlashGoogleRemove
4 is the maximum. Remove one to add another.
| Attribute | Whisper 1whisper-1 | Muse Spark 1.3muse-spark-1.3 | Gemini 3.8 Flashgemini-3.8-flash | Gemini 3.7 Flashgemini-3.7-flash |
|---|---|---|---|---|
| Pricing | ||||
| Input | $75.00 / 1M | $1.25 / 1M | $0.75 / 1M | $0.375 / 1M |
| Output | $75.00 / 1M | $4.25 / 1M | $3.75 / 1M | $1.88 / 1M |
| Cache Write (5m) | Not applicable | $1.25 / 1M | $0.75 / 1M | $0.375 / 1M |
| Cache Write (1h) | Not applicable | $1.25 / 1M | $0.75 / 1M | $0.375 / 1M |
| Cache Read | Not applicable | $1.25 / 1M | $0.75 / 1M | $0.375 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 1M | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | Yes | Yes |
| Function Calling | No | Yes | Yes | Yes |
| JSON Mode | Yes | Yes | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | OpenAI | Meta | ||
| Category | voice | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | Whisper (whisper-1) is OpenAI's open-source automatic speech recognition (ASR) model, designed for audio transcription and translation. It supports 50+ languages and processes audio files up to 25 MB, accepting formats such as mp3, mp4, wav, and webm. Optimized for reliable speech-to-text conversion across diverse audio inputs, Whisper is priced per minute of audio, billed to the nearest second, making it well suited for transcription, localization, and voice-driven applications. | 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. | Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality. | Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning. |