GPT-4.1 mini vs Codestral

Performance benchmarks + pricing comparison — updated April 2026

GPT-4.1 mini

OpenAI

Cost-optimized GPT-4.1 variant. Strong coding capability at budget pricing, replacing GPT-4o mini for many use cases.

Input$0.400/M
Output$1.60/M
Context128K tokens
Best ForHigh-volume coding, cost-sensitive projects, automation
Benchmark68/100

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-4.1 miniCodestralLeader
Overall Score 68 60 GPT-4.1 Mini leads by 8pts
SWE-bench Verified 62 54 GPT-4.1 Mini leads by 8pts
LiveCodeBench 70 64 GPT-4.1 Mini leads by 6pts
HumanEval 86 82 GPT-4.1 Mini leads by 4pts
BigCodeBench 54 44 GPT-4.1 Mini leads by 10pts

Cost Comparison by Scenario

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

ScenarioGPT-4.1 miniCodestralSavings
Small Script (1K lines) $0.06 $0.04 Codestral saves $0.02 (40%)
Medium Feature (10K lines) $0.46 $0.29 Codestral saves $0.18 (38%)
Large Project (50K lines) $2.30 $1.43 Codestral saves $0.88 (38%)
Code Review (5K lines) $0.11 $0.07 Codestral saves $0.04 (32%)

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-4.1 mini 68 $0.022/pt Higher cost per point
Codestral 60 $0.005/pt Better value

Codestral delivers the best value at $0.005 per score point.

Strengths & Weaknesses

GPT-4.1 mini

  • + Good value
  • + Latest architecture
  • - Mini variant limitations

Codestral

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

Verdict

Codestral is cheaper at $0.300/M, but GPT-4.1 mini scores higher on benchmarks (68 vs 60).

Choose Codestral for cost-sensitive projects, GPT-4.1 mini when performance matters most.

Compare with Other Models