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.
- ERNIE Speed 128KBaiduRemove
- Gemini 3.8 FlashGoogleRemove
- Qwen3.8 27BAlibabaRemove
- Muse Spark 1.3MetaRemove
4 is the maximum. Remove one to add another.
| Attribute | ERNIE Speed 128KERNIE-Speed-128K | Gemini 3.8 Flashgemini-3.8-flash | Qwen3.8 27Bqwen3.8-27b | Muse Spark 1.3muse-spark-1.3 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.46 / 1M | $0.75 / 1M | $0.45 / 1M | $1.25 / 1M |
| Output | $2.92 / 1M | $3.75 / 1M | $3.20 / 1M | $4.25 / 1M |
| Cache Write (5m) | $1.457 / 1M | $0.75 / 1M | $0.45 / 1M | $1.25 / 1M |
| Cache Write (1h) | $1.457 / 1M | $0.75 / 1M | $0.45 / 1M | $1.25 / 1M |
| Cache Read | $1.457 / 1M | $0.75 / 1M | $0.45 / 1M | $1.25 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 131.1K | 1M | 262K | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | Yes | Yes |
| Function Calling | No | Yes | Yes | Yes |
| JSON Mode | No | Yes | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Baidu | Alibaba | Meta | |
| 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 | — | 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. | Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments. | 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. |