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.
- GLM 5.3Z.AIRemove
- Nemotron 3.5 Super VLNVIDIARemove
- Hy4 previewTencentRemove
- Transcribe 1 ProFish AudioRemove
4 is the maximum. Remove one to add another.
| Attribute | GLM 5.3glm-5.3 | Nemotron 3.5 Super VLnemotron-3.5-super-vl | Hy4 previewhy4-preview | Transcribe 1 Protranscribe-1-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.40 / 1M | $0.10 / 1M | $0.834 / 1M | — Not priced per input token |
| Output | $4.40 / 1M | $0.40 / 1M | $2.50 / 1M | — Not priced per output token |
| Cache Write (5m) | $1.40 / 1M | $0.10 / 1M | $0.834 / 1M | Not applicable |
| Cache Write (1h) | $1.40 / 1M | $0.10 / 1M | $0.834 / 1M | Not applicable |
| Cache Read | $1.40 / 1M | $0.10 / 1M | $0.834 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | 1M | N/A |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | Yes | No |
| Function Calling | Yes | Yes | Yes | No |
| JSON Mode | Yes | Yes | Yes | No |
| Streaming | Yes | Yes | Yes | No |
| Catalogue | ||||
| Provider | Z.AI | NVIDIA | Tencent | Fish Audio |
| Category | chat | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | 2026-09-24 |
| 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. | NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications. | Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |