Detailed comparison of Gpt 5 and Llama AI models — pricing, context window, parameters, and more. Updated for 2026.
| Model | Context | Parameters | Input Price | Output Price | Tier |
|---|---|---|---|---|---|
| OpenAI: GPT-5.4 Nano | 400K | N/A | $0.20 | $1.25 | standard |
| OpenAI: GPT-5.4 Mini | 400K | N/A | $0.75 | $4.50 | standard |
| OpenAI: GPT-5.4 Pro | 1050K | N/A | $30.00 | $180.00 | premium |
| OpenAI: GPT-5.4 | 1050K | N/A | $2.50 | $15.00 | premium |
| OpenAI: GPT-5.3 Chat | 128K | N/A | $1.75 | $14.00 | premium |
| OpenAI: GPT-5.3-Codex | 400K | N/A | $1.75 | $14.00 | premium |
| OpenAI: GPT-5.2-Codex | 400K | N/A | $1.75 | $14.00 | premium |
| OpenAI: GPT-5.2 Chat | 128K | N/A | $1.75 | $14.00 | premium |
| OpenAI: GPT-5.2 Pro | 400K | N/A | $21.00 | $168.00 | premium |
| OpenAI: GPT-5.2 | 400K | N/A | $1.75 | $14.00 | premium |
| Model | Context | Parameters | Input Price | Output Price | Tier |
|---|---|---|---|---|---|
| NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 | 131K | 49B | $0.10 | $0.40 | budget |
| Meta: Llama Guard 4 12B | 164K | 12B | $0.18 | $0.18 | budget |
| AlfredPros: CodeLLaMa 7B Instruct Solidity | 4K | 7B | $0.80 | $1.20 | standard |
| NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 | 131K | 253B | $0.60 | $1.80 | standard |
| Meta: Llama 4 Maverick | 1049K | 17B | $0.15 | $0.60 | budget |
| Meta: Llama 4 Scout | 328K | 17B | $0.08 | $0.30 | budget |
| Llama Guard 3 8B | 131K | 8B | $0.02 | $0.06 | budget |
| AionLabs: Aion-RP 1.0 (8B) | 33K | 8B | $0.80 | $1.60 | standard |
| DeepSeek: R1 Distill Llama 70B | 131K | 70B | $0.70 | $0.80 | budget |
| Sao10K: Llama 3.1 70B Hanami x1 | 16K | 70B | $3.00 | $3.00 | standard |
Choosing between Gpt 5 and Llama depends on your specific needs. Both are powerful AI models with different strengths. With CoreAI, you don't have to choose — you get access to both Gpt 5 and Llama, along with 300+ other AI models, all under one subscription.
Use CoreAI's Compare feature to send the same prompt to both Gpt 5 and Llama simultaneously and see their responses side-by-side. This is the best way to determine which AI model works better for your specific use case.
Send the same prompt to both models and see real responses side-by-side.