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.
4 is the maximum. Remove one to add another.
| Attribute | Hy4 previewhy4-preview | Gemma 4 31B (Free)gemma-4-31b-it:free | GLM 5.3glm-5.3 | Gemini 3.7 Flashgemini-3.7-flash |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.834 / 1M | $0 / 1M | $1.40 / 1M | $0.375 / 1M |
| Output | $2.50 / 1M | $0 / 1M | $4.40 / 1M | $1.88 / 1M |
| Cache Write (5m) | $0.834 / 1M | — | $1.40 / 1M | $0.375 / 1M |
| Cache Write (1h) | $0.834 / 1M | — | $1.40 / 1M | $0.375 / 1M |
| Cache Read | $0.834 / 1M | $0 / 1M | $1.40 / 1M | $0.375 / 1M |
| Web Search | $0 / 1M | — | $0 / 1M | $0 / 1M |
| Cache Write | — | $0 / 1M | — | — |
| Context | ||||
| Max context | 1M | 262.1K | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | Yes |
| Function Calling | Yes | Yes | Yes | Yes |
| JSON Mode | Yes | Yes | Yes | Yes |
| Streaming | Yes | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Tencent | Z.AI | ||
| Category | chat | chat | chat | chat |
| Charge type | Pay As You Go | Free | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | 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. | Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks. | 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. | 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. |