Text & Chat Models

Anthropic's most powerful model. Exceptional at complex analysis, agentic tasks, and extended reasoning.

Anthropic's most capable model. Excellent for complex analysis, coding, math, and creative writing.

DeepSeek's refreshed V3.1 release. 671B MoE / 37B active. Tops open-weights leaderboards on coding and reasoning.

DeepSeek's April 2026 flagship. 1.6T MoE / 49B active params, 1M context, rivals top closed-source models on STEM and coding at a fraction of the price.

Google's fastest multimodal model. Supports text, images, audio, and video input.

Google's latest thinking model. Excels at reasoning, coding, math, and science with massive context window.

OpenAI's newest flagship model. Improved reasoning, instruction following, and coding over GPT-4o.

OpenAI's most capable multimodal model. Excellent for complex reasoning, coding, and creative tasks.

xAI's flagship reasoning model with vision and tool use. 256k context, strong at complex reasoning and STEM tasks.

Moonshot AI's 1T-parameter MoE model. Industry-leading agentic coding and tool-use benchmarks.

MiniMax's 456B hybrid lightning-attention model with native 4M-token context. Industry-leading long-context.

OpenAI's reasoning model optimized for STEM tasks, coding, and math. Uses chain-of-thought reasoning.

Perplexity's premium web-grounded search model with multi-step reasoning over live sources.

Alibaba's Qwen 3 flagship MoE: 235B total / 22B active. Strong reasoning and tool use, open-weights.

AI21's flagship hybrid Mamba-Transformer model with a 256k context window for long-document tasks.

Cost-efficient hybrid Mamba-Transformer model with 256k context. Tuned for high-throughput RAG.

Anthropic's fast and affordable model. Great for quick tasks, summarization, and simple coding.

Open-weights multilingual research model from Cohere covering 23 languages. 35B parameters.

Cohere's fast lightweight chat model (deprecated Sep 2025). Kept as comparison tombstone.

Cohere's mid-tier RAG/tool model. Cost-efficient sibling of Command R+ with 128k context.

Cohere's flagship RAG- and tool-optimized chat model. 128k context, refreshed August 2024.

DeepSeek's reasoning model with chain-of-thought capabilities. Excellent for complex problem-solving.

Powerful open-weight model from DeepSeek. Strong at coding, math, and Chinese/English tasks.

Efficiency-optimized variant of DeepSeek V4. 284B MoE / 13B active, 1M context, ultra-low pricing for high-throughput workloads.

Small, fast, and affordable model for lightweight tasks. Great balance of speed and capability.

xAI's flagship model. Strong at reasoning, coding, and real-time knowledge with web search capabilities.

Meta's open-source 70B parameter model. Strong all-around performance with multilingual support.

Meta M2M-100 12B many-to-many translation model. Direct translation between 100 languages without pivoting through English.

Google MADLAD-400 3B multilingual translation model. 419 languages supported, trained on a 5T-token multilingual corpus with strong low-resource performance.

Meta mBART-50 many-to-many translation model. 50 supported languages with strong performance on news and conversational text.

Mixture-of-experts Phi-3.5: 42B total / 6.6B active params. 128k context, multilingual.

Mistral's flagship model. Strong reasoning, multilingual, and coding capabilities.

Meta's No Language Left Behind 3.3B translation model. Direct translation between any pair of 200+ languages including many low-resource African and Asian languages.

Meta's distilled 600M NLLB. Same 200-language coverage as the 3B model with a fraction of the parameters, ideal for edge or high-throughput deployment.

Full-parameter fine-tune of Llama 3.1 405B by Nous Research. Steerable, uncensored, strong tool use.

Llama-3.1-70B fine-tune from Nous Research with strong tool/agent capabilities and uncensored alignment.

Perplexity's fastest and cheapest web-grounded chat model. Live-source citations included.

Perplexity's reasoning model with chain-of-thought and integrated web search.

Alibaba's powerful open-source model. Excellent at coding, math, and multilingual tasks.

Alibaba's flagship pretrained MoE model. Top-tier reasoning and code performance via DashScope API.

Meta SeamlessM4T v2 Large. Universal multilingual translation across 100+ languages with text-to-text mode for documents and chat.

Snowflake's open MoE model: 480B total / 17B active params with dense+MoE hybrid architecture.

TII's 180B causal decoder chat model fine-tuned on Ultrachat, Platypus and Airoboros.

Unbabel TowerInstruct 13B. Llama-2-based multilingual translation and post-editing model. Strong terminology consistency for enterprise localization.

01.AI's larger general-purpose chat model with 32k context window and strong bilingual performance.