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.
- Hy4 previewTencentRemove
- Gemini 3.8 FlashGoogleRemove
- DeepSeek V4.1 FlashDeepSeekRemove
- Pixtral 12BMistral AIRemove
4 is the maximum. Remove one to add another.
| Attribute | Hy4 previewhy4-preview | Gemini 3.8 Flashgemini-3.8-flash | DeepSeek V4.1 Flashdeepseek-v4.1-flash | Pixtral 12Bpixtral-12b |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.834 / 1M | $0.75 / 1M | $0.30 / 1M | $0.10 / 1M |
| Output | $2.50 / 1M | $3.75 / 1M | $1.20 / 1M | $0.10 / 1M |
| Cache Write (5m) | $0.834 / 1M | $0.75 / 1M | $0.30 / 1M | $0.10 / 1M |
| Cache Write (1h) | $0.834 / 1M | $0.75 / 1M | $0.30 / 1M | $0.10 / 1M |
| Cache Read | $0.834 / 1M | $0.75 / 1M | $0.30 / 1M | $0.10 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | 1M | 32.8K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | Yes | No |
| Function Calling | Yes | Yes | Yes | No |
| JSON Mode | Yes | Yes | Yes | No |
| Streaming | Yes | Yes | Yes | No |
| Catalogue | ||||
| Provider | Tencent | DeepSeek | Mistral 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 | 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. | 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. | DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion. | — |