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.
- Gemini 3.5 TranscribeGoogleRemove
- Gemini 3.8 FlashGoogleRemove
- Gemini 4 ArgonGoogleRemove
- GLM 5.3Z.AIRemove
4 is the maximum. Remove one to add another.
| Attribute | Gemini 3.5 Transcribegemini-3.5-transcribe | Gemini 3.8 Flashgemini-3.8-flash | Gemini 4 Argongemini-4-argon | GLM 5.3glm-5.3 |
|---|---|---|---|---|
| Pricing | ||||
| Input | — Not priced per input token | $0.75 / 1M | $2.00 / 1M | $1.40 / 1M |
| Output | — Not priced per output token | $3.75 / 1M | $10.00 / 1M | $4.40 / 1M |
| Cache Write (5m) | Not applicable | $0.75 / 1M | $2.00 / 1M | $1.40 / 1M |
| Cache Write (1h) | Not applicable | $0.75 / 1M | $2.00 / 1M | $1.40 / 1M |
| Cache Read | Not applicable | $0.75 / 1M | $2.00 / 1M | $1.40 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 98.3K | 1M | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | Yes | No |
| Function Calling | Yes | Yes | Yes | Yes |
| JSON Mode | No | Yes | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Z.AI | |||
| Category | voice | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-09-25 | — | — | — |
| Description | ||||
| Summary | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. | 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 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response. | 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. |