Large Language Model Comparison 2026
Compare ModelsCompare large language models from OpenAI, Anthropic, Google, xAI and more. Find context windows, reasoning capabilities, benchmarks, and pricing for GPT-5, Claude 4, Gemini 3, and Grok 4.
Available Models
GPT-4.1
OpenAIGPT-4.1 excels at instruction following and tool calling, with broad knowledge across domains. Featu...
GPT-5.1
OpenAIFlagship model optimized for coding and agentic tasks with configurable reasoning effort.
GPT-5 Mini
OpenAIFaster, cost-efficient version of GPT-5 suitable for well-defined tasks and precise prompts.
GPT-5 Nano
OpenAIFastest, most cost-efficient version of GPT-5, ideal for summarization and classification tasks.
Gemini 3 Pro
GoogleThe best model in the world for multimodal understanding, and our most powerful agentic and vibe-cod...
Claude Sonnet 4.5
AnthropicClaude Sonnet 4.5 is the best coding model in the world. It's the strongest model for building compl...
Grok 4.1 Fast
xAIA frontier multimodal model optimized specifically for high-performance agentic tool calling.
DeepSeek-V4-Flash
DeepSeek284B parameter (13B activated) Mixture-of-Experts language model with 1M token context length. Featu...
Nemotron 3 Nano Omni
NVIDIA31B-parameter (3B active) Mamba2-Transformer hybrid MoE multimodal model that unifies video, audio, ...
Gemma 4 31B
Google DeepMind30.7B-parameter dense multimodal model from Google DeepMind with 256K token context. Handles text, i...
Gemma 4 26B A4B
Google DeepMind25.2B total parameter (3.8B active) Mixture-of-Experts model with 256K token context. 8 active exper...
Gemma 4 E4B
Google DeepMind4.5B effective parameter (8B with Per-Layer Embeddings) on-device model with 128K token context. Sup...
SenseNova-U1 8B MoT
SenseNova8B-parameter end-to-end unified multimodal model based on NEO-Unify architecture. Native unified tex...
How to Choose an LLM
Selecting the right language model depends on your specific use case, budget, and performance requirements. Compare key factors like context window, reasoning capabilities, and multimodal support.
Key Comparison Factors
Context Window
Larger windows (up to 1M tokens) enable processing entire documents, codebases, or long conversations without chunking.
Reasoning Capabilities
Models with reasoning spend more time analyzing complex problems. Ideal for coding, math, and step-by-step analysis.
Multimodal Support
Text-only models are faster and cheaper. Multimodal models (vision, audio) enable richer interactions but cost more.
Pricing Structure
Input tokens are typically cheaper than output. Consider caching discounts and batch API options for high-volume use.
External Resources
Stay updated with the latest LLM developments from official sources: