Claude 4 Haiku vs Llama 3.1 8B

Performance benchmarks + pricing comparison — updated April 2026

Claude 4 Haiku

Anthropic

Updated Haiku model with improved reasoning over Claude 3.5 Haiku. Fast and affordable for high-volume tasks.

Input$0.800/M
Output$4.00/M
Context200K tokens
Best ForHigh-volume tasks, simple queries, cost-sensitive workflows
Benchmark55/100

Llama 3.1 8B

Meta

Meta's smallest Llama 3.1 model. Open weights, deploy anywhere. Great for self-hosted applications.

Input$0.050/M
Output$0.100/M
Context128K tokens
Best ForSelf-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.

ScenarioClaude 4 HaikuLlama 3.1 8BSavings
Small Script (1K lines) $0.16 <$0.01 Llama 3.1 8B saves $0.16 (97%)
Medium Feature (10K lines) $1.24 $0.04 Llama 3.1 8B saves $1.20 (97%)
Large Project (50K lines) $6.21 $0.19 Llama 3.1 8B saves $6.02 (97%)
Code Review (5K lines) $0.32 $0.01 Llama 3.1 8B saves $0.31 (96%)

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.

Compare with Other Models