Mistral Nemo vs Llama 3.1 8B
Performance benchmarks + pricing comparison — updated April 2026
Mistral Nemo
MistralCompact 12B open-weight model co-developed with NVIDIA. Excellent coding performance at minimal cost.
| Input | $0.150/M |
| Output | $0.150/M |
| Context | 128K tokens |
| Best For | Self-hosted deployments, cost-sensitive coding, edge deployments |
| Benchmark | 48/100 |
Llama 3.1 8B
MetaMeta's smallest Llama 3.1 model. Open weights, deploy anywhere. Great for self-hosted applications.
| Input | $0.050/M |
| Output | $0.100/M |
| Context | 128K tokens |
| Best For | Self-hosted AI, fine-tuning, budget applications |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | Mistral Nemo | Llama 3.1 8B | Savings |
|---|---|---|---|
| Small Script (1K lines) | <$0.01 | <$0.01 | Llama 3.1 8B saves <$0.01 (51%) |
| Medium Feature (10K lines) | $0.08 | $0.04 | Llama 3.1 8B saves $0.04 (55%) |
| Large Project (50K lines) | $0.41 | $0.19 | Llama 3.1 8B saves $0.22 (55%) |
| Code Review (5K lines) | $0.03 | $0.01 | Llama 3.1 8B saves $0.02 (63%) |
Verdict
Llama 3.1 8B wins on both price and performance — $0.050/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
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