Introduction
The generative AI ecosystem is evolving rapidly. For developers and entrepreneurs, choosing the right foundation is crucial for both the performance and cost of an application. On this overview page, we compare the main current AI models from OpenAI, Anthropic, Google, Meta, and Mistral. For in-depth technical tests and latency statistics, please visit our LLM Benchmark page.
LLM Comparison Table
| Model (Family) | Context Window | Price Indication ($ per 1M tokens)* | Strengths & Features | License / Access |
|---|---|---|---|---|
| GPT-4o (OpenAI) | 128,000 tokens | In: $5.00 / Out: $15.00 | Very strong reasoning capabilities, excellent multilingualism, fast native multimodal (audio/vision) support. | Proprietary (API) |
| Claude 3.5 Sonnet (Anthropic) | 200,000 tokens | In: $3.00 / Out: $15.00 | Unrivaled in programming and complex logic, subtle writing style, UI integrations (Artifacts). | Proprietary (API) |
| Gemini 1.5 Pro (Google) | 1,000,000 - 2,000,000 tokens | In: ~$3.50 / Out: ~$10.50 | Gigantic context window ideal for heavy document analysis, native integration with Google Cloud (Vertex). | Proprietary (API) |
| Llama 3.1 (405B) (Meta) | 128,000 tokens | In: ~$2.75 / Out: ~$3.00 (via external providers) | GPT-4 level performance, open-weights enabling local or private cloud hosting. | Llama 3.1 Community License |
| Mistral Large 2 (Mistral AI) | 128,000 tokens | In: $2.00 / Out: $6.00 | Cost-efficient, compact, very strong in European languages and mathematical reasoning. | Mistral Research / Commercial |
* Note: Prices are indicative estimates in USD for input (prompt) and output (completion) per 1 million tokens via the official APIs (as of mid-2026). Open-weights models like Llama may vary depending on the chosen infrastructure provider (e.g., Groq, Together AI, or own hardware). Also read our implementation guide for tips on cost control.
Conclusion
There is currently no universal winner; the choice depends heavily on your specific use case. While Claude 3.5 Sonnet currently sets the standard for programming tasks, Gemini 1.5 Pro offers the only workable solution for use cases requiring millions of tokens of context. Do you have strict data privacy requirements where models must run on-premise? Then Llama 3.1 is the most powerful open-weight alternative.