Codestral vs Llama 3.1 8B

Performance benchmarks + pricing comparison — updated April 2026

Codestral

Mistral

Mistral's dedicated coding model. Open-weight and highly optimized for code generation and completion.

Input$0.300/M
Output$0.900/M
Context128K tokens
Best ForCode completion, code generation, IDE integration
Benchmark60/100

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.

ScenarioCodestralLlama 3.1 8BSavings
Small Script (1K lines) $0.04 <$0.01 Llama 3.1 8B saves $0.03 (87%)
Medium Feature (10K lines) $0.29 $0.04 Llama 3.1 8B saves $0.25 (87%)
Large Project (50K lines) $1.43 $0.19 Llama 3.1 8B saves $1.24 (87%)
Code Review (5K lines) $0.07 $0.01 Llama 3.1 8B saves $0.06 (85%)

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