GPT-4.1 vs Llama 3.1 8B
Performance benchmarks + pricing comparison — updated April 2026
GPT-4.1
OpenAIUpdated GPT-4 generation with improved instruction following and reduced hallucination. Better coding accuracy than GPT-4o.
| Input | $2.00/M |
| Output | $8.00/M |
| Context | 128K tokens |
| Best For | Production coding, API development, complex instructions |
| Benchmark | 80/100 |
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 | GPT-4.1 | Llama 3.1 8B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.31 | <$0.01 | Llama 3.1 8B saves $0.31 (98%) |
| Medium Feature (10K lines) | $2.30 | $0.04 | Llama 3.1 8B saves $2.26 (98%) |
| Large Project (50K lines) | $11.50 | $0.19 | Llama 3.1 8B saves $11.31 (98%) |
| Code Review (5K lines) | $0.55 | $0.01 | Llama 3.1 8B saves $0.54 (98%) |
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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