Best Gemma 2 27B Alternatives

OpenAI's reasoning model that uses extended chain-of-thought to solve complex math, science, and coding problems with higher accuracy.

OpenAI's flagship multimodal model combining strong reasoning, coding, and vision capabilities with fast inference speed.

Open-weight reasoning model that matches OpenAI o1 on math and coding benchmarks through reinforcement learning and chain-of-thought.

Anthropic's most capable production model, excelling at analysis, coding, writing, and vision tasks with a 200K context window.

Google's advanced multimodal model with an industry-leading 1 million token context window for processing massive documents and codebases.

Anthropic's previous flagship model known for deep analysis, creative writing, and graduate-level reasoning across domains.

Open-weight MoE model with 671B total parameters (37B active) delivering frontier performance at exceptionally low cost.

Google's fastest and most cost-effective model with native multimodal capabilities including image and audio generation.

Alibaba's open-weight flagship MoE model with 397B total parameters and 17B active, leading open models on many benchmarks.

A smaller, faster, more affordable reasoning model from OpenAI optimized for STEM tasks and coding.

xAI's flagship model with strong performance on reasoning, coding, and math benchmarks, integrated with the X platform.

Meta's largest open-weight model with 405 billion parameters, designed for enterprise-grade reasoning, coding, and multilingual tasks.

xAI's most powerful model trained with 10x the compute of Grok 2, featuring a 1M token context and advanced reasoning modes.

Medium-sized Qwen 3.5 MoE model balancing strong capability with efficient inference for production deployments.

Mistral AI's flagship model with strong multilingual capabilities and reasoning, designed for enterprise applications.

Meta's efficient 70B model that matches Llama 3.1 405B performance on many tasks at a fraction of the compute cost.

Dense 27B model from the Qwen 3.5 family, efficient for cost-sensitive and on-premise deployments.

xAI's efficient model balancing strong performance with faster inference, available on the X platform.

OpenAI's affordable, high-speed model ideal for lightweight tasks, high-volume workloads, and cost-sensitive applications.

Anthropic's upgraded fast model, significantly stronger than Claude 3 Haiku with performance approaching Claude 3.5 Sonnet on many tasks.