Mistral Large 2 vs Llama 3.1 70B

Performance benchmarks + pricing comparison — updated April 2026

Mistral Large 2

Mistral

Mistral's flagship model. Strong multilingual and coding capability.

Input$2.00/M
Output$6.00/M
Context128K tokens
Best ForEnterprise coding, multilingual tasks
Benchmark65/100

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.

ScenarioMistral Large 2Llama 3.1 70BSavings
Small Script (1K lines) $0.25 $0.02 Llama 3.1 70B saves $0.23 (92%)
Medium Feature (10K lines) $1.90 $0.15 Llama 3.1 70B saves $1.75 (92%)
Large Project (50K lines) $9.50 $0.75 Llama 3.1 70B saves $8.75 (92%)
Code Review (5K lines) $0.50 $0.04 Llama 3.1 70B saves $0.46 (91%)

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