GPT-4o mini vs Codestral

Performance benchmarks + pricing comparison — updated April 2026

GPT-4o mini

OpenAI

Affordable small model. Fast and cost-effective for high-volume coding tasks.

Input$0.150/M
Output$0.600/M
Context128K tokens
Best ForHigh-volume tasks, simple coding, cost-sensitive projects
Benchmark58/100

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

Benchmark Performance Comparison

Third-party benchmark scores — higher is better. Data sourced from SWE-bench, LiveCodeBench, HumanEval, and BigCodeBench.

BenchmarkGPT-4o miniCodestralLeader
Overall Score 58 60 Mistral Codestral leads by 2pts
SWE-bench Verified 50 54 Mistral Codestral leads by 4pts
LiveCodeBench 60 64 Mistral Codestral leads by 4pts
HumanEval 78 82 Mistral Codestral leads by 4pts
BigCodeBench 44 44 GPT-4o Mini leads by 0pts

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioGPT-4o miniCodestralSavings
Small Script (1K lines) $0.02 $0.04 GPT-4o mini saves $0.01 (35%)
Medium Feature (10K lines) $0.18 $0.29 GPT-4o mini saves $0.10 (36%)
Large Project (50K lines) $0.92 $1.43 GPT-4o mini saves $0.51 (36%)
Code Review (5K lines) $0.05 $0.07 GPT-4o mini saves $0.03 (38%)

Value Analysis (Price per Benchmark Score Point)

Lower is better — how much you pay for each point of benchmark performance.

ModelOverall ScorePrice per Score PointVerdict
GPT-4o mini 58 $0.003/pt Better value
Codestral 60 $0.005/pt Higher cost per point

GPT-4o mini delivers the best value at $0.003 per score point.

Strengths & Weaknesses

GPT-4o mini

  • + Very cheap
  • + Fast responses
  • - Struggles with multi-step reasoning

Codestral

  • + Code-specialized
  • + Very cheap
  • - Narrow focus

Verdict

GPT-4o mini is cheaper at $0.150/M, but Codestral scores higher on benchmarks (60 vs 58).

Choose GPT-4o mini for cost-sensitive projects, Codestral when performance matters most.

Compare with Other Models