模型

浏览来自所有提供商的 47 个标准化 LLM 模型

部分描述为试点机器翻译内容,尚未经过人工审核。

显示第 25–47 项,共 47 个模型

Claude Opus 4.7

美国

Anthropic's latest and most advanced model with state-of-the-art reasoning, coding, and analysis capabilities. Features improved tool use, extended thinking, and enhanced safety alignment.

上下文
300K
发布日期
2026年4月

GPT-5.4

美国

OpenAI's frontier reasoning model combining advances in coding, reasoning, and agentic workflows. Features 1.1M token context window and strong performance on complex multi-step problems.

上下文
1.1M
发布日期
2026年3月

Gemini 3.1 Pro

美国

Google 最新的旗舰多模态模型,在推理、编程和多模态理解方面达到领先水平。支持原生工具使用、信息溯源以及百万 token 上下文窗口。

上下文
2.0M
发布日期
2026年3月

GPT-5.5 Pro

美国

OpenAI 的高端模型,提供扩展推理能力、复杂任务上的更高准确率和优先访问。面向要求最高质量的专业与企业工作负载进行了优化。

上下文
256K
发布日期
2026年3月

Grok 4.20

美国

xAI's multi-agent capable model with 2M token context window. Available in reasoning, non-reasoning, and multi-agent variants for diverse enterprise workloads.

上下文
2.0M
发布日期
2026年2月

Grok 4

美国

xAI's latest model with real-time information access, strong reasoning capabilities, and competitive performance on coding and analysis tasks. Features improved tool use and multimodal understanding.

上下文
256K
发布日期
2026年2月

Claude Opus 4.6

美国

Anthropic's most capable model in the Claude 4 family, excelling at complex analysis, extended reasoning, scientific research, and advanced code generation. Features significantly improved accuracy and reduced hallucinations.

上下文
300K
发布日期
2026年1月

Claude Sonnet 4.6

美国

Anthropic's balanced model offering strong performance at lower cost and latency than Opus. Excellent for everyday coding, analysis, and content generation tasks with good reasoning capabilities.

上下文
200K
发布日期
2026年1月

Grok 4.1 Fast

美国

xAI's fast and cost-effective model with 2M token context window. Offers both reasoning and non-reasoning modes at significantly lower pricing than flagship models.

上下文
2.0M
发布日期
2025年11月

Claude Haiku 4.5

美国

Anthropic's fastest model with near-frontier intelligence. Optimized for high-throughput, low-latency applications requiring quick responses at minimal cost. Supports extended thinking.

上下文
200K
发布日期
2025年10月

Claude Sonnet 4.5

美国

Anthropic's previous-generation balanced model with strong coding and analysis capabilities. Offers excellent price-performance ratio for production workloads requiring reliable quality.

上下文
200K
发布日期
2025年10月

Gemini 2.5 Pro

美国

Google's high-capability reasoning model with adaptive thinking for complex agentic and multimodal challenges. Features 1M token context window and strong performance on coding and scientific tasks.

上下文
1.0M
发布日期
2025年6月

Gemini 2.5 Flash

美国

Google's cost-effective model optimized for high throughput tasks. Balances speed and intelligence with strong multimodal capabilities and 1M token context window.

上下文
1.0M
发布日期
2025年6月

GPT-5

美国

OpenAI's fifth-generation flagship model with significant improvements in reasoning, multimodal understanding, and code generation. Features enhanced instruction following and expanded context window.

上下文
256K
发布日期
2025年6月

Llama 4 Maverick

美国

Meta's quality-focused MoE model with 17B active parameters (400B total, 128 experts). Targets quality-critical tasks with benchmark scores competitive with GPT-4o and Gemini 2.5 Pro.

上下文
1.0M
发布日期
2025年4月

Llama 4 Scout

美国

Meta's efficient MoE model with 17B active parameters (109B total, 16 experts). Supports up to 10M token context — the longest of any production model. Strong performance on reasoning and multilingual tasks.

上下文
10.0M
发布日期
2025年4月

Gemma 3 4B

美国

Google's compact open-weight model with 4 billion parameters from the Gemma 3 family. Supports multimodal inputs including text and images with a 128K context window. Balances efficiency and capability for vision and language tasks.

上下文
131K
发布日期
2025年3月

Gemma 3 27B

美国

Google's largest open-weight model in the Gemma 3 family with 27 billion parameters. Supports multimodal inputs including text and images with a 128K context window. Delivers strong performance across reasoning, code generation, and vision tasks, competitive with larger proprietary models.

上下文
131K
发布日期
2025年3月

Gemma 3 12B

美国

Google's mid-size open-weight model with 12 billion parameters from the Gemma 3 family. Supports multimodal inputs including text and images with a 128K context window. Strong performance on reasoning and code generation tasks at moderate compute cost.

上下文
131K
发布日期
2025年3月

Llama 3.2 90B Vision Instruct

美国

Meta's largest multimodal open-weight model with 90 billion parameters from the Llama 3.2 family. Delivers strong performance on both text and image understanding tasks with competitive results on visual reasoning benchmarks. Designed for high-quality inference requiring vision capabilities.

上下文
131K
发布日期
2024年9月

Llama 3.2 11B Vision Instruct

美国

Meta's multimodal open-weight model with 11 billion parameters from the Llama 3.2 family. Supports both text and image inputs, enabling visual understanding tasks alongside standard text generation. Suitable for applications requiring vision capabilities at moderate scale.

上下文
131K
发布日期
2024年9月

Claude 3 Opus

美国

Anthropic's most powerful model in the Claude 3 family, excelling at complex analysis, nuanced content generation, scientific reasoning, and code generation with extended context support.

上下文
200K
发布日期
2024年3月

GPT-4

美国

OpenAI's flagship large language model with advanced reasoning, instruction following, and code generation capabilities. Supports multimodal inputs including text and images.

上下文
128K
发布日期
2024年1月