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.
- Kimi K3.1 ProMoonShot AIRemove
- Hy4 previewTencentRemove
- Qwen3.8 27BAlibabaRemove
- Gemini 3.5 TranscribeGoogleRemove
4 is the maximum. Remove one to add another.
| Attribute | Kimi K3.1 Prokimi-k3.1-pro | Hy4 previewhy4-preview | Qwen3.8 27Bqwen3.8-27b | Gemini 3.5 Transcribegemini-3.5-transcribe |
|---|---|---|---|---|
| Pricing | ||||
| Input | $2.00 / 1M | $0.834 / 1M | $0.45 / 1M | — Not priced per input token |
| Output | $10.00 / 1M | $2.50 / 1M | $3.20 / 1M | — Not priced per output token |
| Cache Write (5m) | $2.00 / 1M | $0.834 / 1M | $0.45 / 1M | Not applicable |
| Cache Write (1h) | $2.00 / 1M | $0.834 / 1M | $0.45 / 1M | Not applicable |
| Cache Read | $2.00 / 1M | $0.834 / 1M | $0.45 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | 262K | 98.3K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | Yes | Yes |
| Function Calling | Yes | Yes | Yes | Yes |
| JSON Mode | Yes | Yes | Yes | No |
| Streaming | Yes | Yes | Yes | No |
| Catalogue | ||||
| Provider | MoonShot AI | Tencent | Alibaba | |
| Category | chat | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | 2026-09-25 |
| Description | ||||
| Summary | Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution. | 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. | 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. | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. |