Claude 4 Haiku vs Llama 3.1 70B

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 70B

Meta

Meta's mid-size Llama 3.1. Strong general performance with open weights for custom deployment.

Input$0.200/M
Output$0.400/M
Context128K tokens
Best ForGeneral AI tasks, custom deployment, fine-tuning

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 70BSavings
Small Script (1K lines) $0.16 $0.02 Llama 3.1 70B saves $0.15 (88%)
Medium Feature (10K lines) $1.24 $0.15 Llama 3.1 70B saves $1.09 (88%)
Large Project (50K lines) $6.21 $0.75 Llama 3.1 70B saves $5.46 (88%)
Code Review (5K lines) $0.32 $0.04 Llama 3.1 70B saves $0.28 (86%)

Verdict

Llama 3.1 70B wins on both price and performance — $0.200/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