Llama 3.3 70B Instruct vs Ministral 3 8B 2512
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.3 70B Instruct and Ministral 3 8B 2512.
Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Ministral 3 8B 2512
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
Technical Specifications
| Specification | Llama 3.3 70B Instruct | Ministral 3 8B 2512 |
|---|---|---|
| Provider | Meta | Mistral |
| Context Window | 131,072 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-06 | 2025-12-02 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.3 70B Instruct
$0.10
Ministral 3 8B 2512
$0.15
Output Price per Million Tokens
Llama 3.3 70B Instruct
$0.32
Ministral 3 8B 2512
$0.15
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.
Ministral 3 8B 2512 Quirks & Gotchas
No developer gotchas reported.