300 streaming-capable models ranked for chatbot use cases. Scored with bonuses for function calling, JSON mode, web search, and affordable pricing - the capabilities that matter most for production chatbots.
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7Anthropic | 95 |
| 2 | GPT-5.5OpenAI | 93 |
| 3 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 92 |
| 4 | Gemini 3.1 Pro PreviewGoogle | 92 |
| 5 | GPT-5.4 ProOpenAI | 92 |
| 6 | GPT-5.4OpenAI | 92 |
| 7 | GPT-5.5 ProOpenAI | 91 |
| 8 | GPT-5.2 ProOpenAI | 91 |
| 9 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 10 | Claude Opus 4.6Anthropic | 90 |
| 11 | Grok 4.20xAI | 89 |
| 12 | GPT-5.3-CodexOpenAI | 89 |
| 13 | GPT-5 ProOpenAI | 89 |
| 14 | Gemini 3 Flash PreviewGoogle | 88 |
| 15 | Grok 4xAI | 88 |
| 16 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 17 | GPT-5.3 ChatOpenAI | 87 |
| 18 | GPT-5.2-CodexOpenAI | 90 |
| 19 | GPT-5.2OpenAI | 90 |
| 20 | o3 Deep ResearchOpenAI | 87 |
| 21 | o3 ProOpenAI | 87 |
| 22 | o3OpenAI | 87 |
| 23 | GPT-5.1 ChatOpenAI | 87 |
| 24 | DeepSeek V4 ProDeepSeek | 87 |
| 25 | Claude Sonnet 4.6Anthropic | 85 |
| 26 | Claude Opus 4.5Anthropic | 85 |
| 27 | GPT-5 CodexOpenAI | 88 |
| 28 | GPT-5OpenAI | 88 |
| 29 | GPT-5.1OpenAI | 87 |
| 30 | GPT-5.1-CodexOpenAI | 87 |
Streaming shows the AI's response word-by-word, creating a natural "typing" effect. This is essential for chatbots - users expect to see responses appear in real-time, not after a long delay.
Turn your chatbot from a conversational toy into a useful tool. Function calling lets the AI book appointments, look up orders, process payments, and interact with your backend systems.
A chatbot handling 10K conversations/day generates 50-100M tokens/month. At $15/1M tokens that costs $750-1500/month. Budget models under $1/1M bring that down to $50-100/month.
Models with web search can answer questions about current events, look up product information, and provide up-to-date answers - keeping your chatbot accurate without constant knowledge base updates.
Models with large context windows (128K+ tokens) and strong instruction-following excel at multi-turn dialogue. Claude, GPT-4o, and Gemini consistently rank highest for maintaining coherent, contextually aware conversations across dozens of exchanges.
Free models like Llama 3 and Gemma work well for simple Q&A bots. For production chatbots handling customer interactions, paid models offer better reliability, lower hallucination rates, and function calling for integrating with your systems.
For basic FAQ bots, 8K tokens suffices. Customer support bots benefit from 32K-128K to reference conversation history and knowledge bases. Enterprise assistants handling complex workflows should target 128K+ for maintaining full session context.
Smaller models like GPT-4o Mini and Claude Haiku respond in under 500ms, ideal for real-time chat. Larger reasoning models take 2-5 seconds but produce more nuanced responses. Most production chatbots use smaller models for speed with larger models for complex queries.