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.
| Attribute | GLM 5.3glm-5.3 | Whisper 1whisper-1 |
|---|---|---|
| Pricing | ||
| Input | $1.40 / 1M | $75.00 / 1M |
| Output | $4.40 / 1M | $75.00 / 1M |
| Cache Write (5m) | $1.40 / 1M | Not applicable |
| Cache Write (1h) | $1.40 / 1M | Not applicable |
| Cache Read | $1.40 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 1M | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | No | No |
| Function Calling | Yes | No |
| JSON Mode | Yes | Yes |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | Z.AI | OpenAI |
| Category | chat | voice |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution. | 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. |