Detailed comparison of Llama and Mistral AI models — pricing, context window, parameters, and more. Updated for 2026.
| 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 |
| Model | Context | Parameters | Input Price | Output Price | Tier |
|---|---|---|---|---|---|
| Mistral: Mistral Small 4 | 262K | 119B | $0.15 | $0.60 | budget |
| Mistral: Mistral Small Creative | 33K | N/A | $0.10 | $0.30 | budget |
| Mistral: Devstral 2 2512 | 262K | 123B | $0.40 | $2.00 | standard |
| Mistral: Ministral 3 14B 2512 | 262K | 14B | $0.20 | $0.20 | budget |
| Mistral: Ministral 3 8B 2512 | 262K | 8B | $0.15 | $0.15 | budget |
| Mistral: Ministral 3 3B 2512 | 131K | 3B | $0.10 | $0.10 | budget |
| Mistral: Mistral Large 3 2512 | 262K | 41B | $0.50 | $1.50 | standard |
| Mistral: Voxtral Small 24B 2507 | 32K | 24B | $0.10 | $0.30 | budget |
| Mistral: Mistral Medium 3.1 | 131K | N/A | $0.40 | $2.00 | standard |
| Mistral: Codestral 2508 | 256K | N/A | $0.30 | $0.90 | budget |
Choosing between Llama and Mistral 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 Llama and Mistral, along with 300+ other AI models, all under one subscription.
Use CoreAI's Compare feature to send the same prompt to both Llama and Mistral 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.