Top picks for Chat Companion (2026)

Which should you use? OpenAI: o4 Mini (batch) tops this ranking on blended score. If cost drives the decision, Z.ai: GLM 5.3 Flash is the cheapest of the leaders at $0.07/M input. To prototype without spending, Google: Gemma 4 26B A4B (free) is the best free option ranked here.

For Chat Companion, we weight models on low cost, low latency, reasoning quality. Scores combine each model's public specs with independent benchmark results (Aider Polyglot coding scores, Artificial Analysis intelligence/coding/agentic indices) and live pricing. See full methodology →

Chat Companion is a general-purpose conversational AI task for sustained dialogue across topics without specialized domain requirements. Use this when you need a model to maintain context, respond naturally, and handle topic switches without retraining or task-specific setup. Good models maintain coherence over 10+ exchanges, avoid repetitive phrasing, and generate responses in under 2 seconds per turn. Poor performers lose context mid-conversation, repeat themselves, or respond with generic filler. The main cost consideration: longer conversations consume more tokens, so batch-processing multiple chats costs more than single-turn Q&A, but streaming responses to users reduces perceived latency significantly.

When to use: Use this when you want an AI that can chat naturally with you about anything, remember what you said earlier in the conversation, and keep talking without you having to re-explain context.