DeepSeek
Text Generation
DeepSeek-V4-Pro
DeepSeek-V4-Pro is DeepSeek's flagship open-source MoE model with 1.6T total parameters and 49B activated, purpose-built for frontier-level reasoning, coding, and agentic tasks. Supporting a 1M-token context window and three reasoning effort modes up to Think Max, it achieves top-tier performance on coding benchmarks such as LiveCodeBench and Codeforces — rivaling leading closed-source models — and is released under the MIT License....
總上下文：
1049K
最大輸出：
393K
輸入：
$
1.6
/ M Tokens
輸入：
$
text
/ M Tokens
輸出：
$
3.48
/ M Tokens
Moonshot AI
Text Generation
Kimi-K2.6
Kimi K2.6 is an open-source, native multimodal agentic model by Moonshot AI, achieving open-source state-of-the-art on benchmarks including HLE with tools, SWE-Bench Pro, and BrowseComp. Built on a MoE architecture with 1T total parameters and 32B activated, the model supports a 256K-token context window and multimodal inputs (image and video) via its MoonViT vision encoder. K2.6 is optimized for agentic workloads: it sustains 4,000+ tool calls over 12+ hours of continuous execution, scales to 300 parallel sub-agents × 4,000 steps per run to produce 100+ files from a single prompt, and supports both Thinking and Instant inference modes with function calling and multi-turn Preserve Thinking...
總上下文：
262K
最大輸出：
262K
輸入：
$
0.77
/ M Tokens
輸入：
$
text
/ M Tokens
輸出：
$
4.0
/ M Tokens
Z.ai
Text Generation
GLM-5.1
GLM-5.1 is Z.ai's next-generation flagship model built for agentic engineering. It is designed to run continuously for hours or even longer, refining its strategy as it works—the longer it runs, the better the results....
總上下文：
205K
最大輸出：
131K
輸入：
$
1.4
/ M Tokens
輸入：
$
text
/ M Tokens
輸出：
$
4.4
/ M Tokens
