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.
- Muse Spark 1.3MetaRemove
- Gemini 3.8 FlashGoogleRemove
- Mixtral 8x7B InstructMistral AIRemove
- GLM 5.3Z.AIRemove
4 is the maximum. Remove one to add another.
| Attribute | Muse Spark 1.3muse-spark-1.3 | Gemini 3.8 Flashgemini-3.8-flash | Mixtral 8x7B Instructmixtral-8x7b-instruct | GLM 5.3glm-5.3 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.25 / 1M | $0.75 / 1M | $60.00 / 1M | $1.40 / 1M |
| Output | $4.25 / 1M | $3.75 / 1M | $60.00 / 1M | $4.40 / 1M |
| Cache Write (5m) | $1.25 / 1M | $0.75 / 1M | $60.00 / 1M | $1.40 / 1M |
| Cache Write (1h) | $1.25 / 1M | $0.75 / 1M | $60.00 / 1M | $1.40 / 1M |
| Cache Read | $1.25 / 1M | $0.75 / 1M | $60.00 / 1M | $1.40 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | 32.8K | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | No |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | Meta | Mistral AI | Z.AI | |
| Category | chat | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | 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. | — | 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. |