GPT-4o mini vs Mistral Large 2

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

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

Benchmark Performance Comparison

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

BenchmarkGPT-4o miniMistral Large 2Leader
Overall Score 58 65 Mistral Large 2 leads by 7pts
SWE-bench Verified 50 58 Mistral Large 2 leads by 8pts
LiveCodeBench 60 66 Mistral Large 2 leads by 6pts
HumanEval 78 84 Mistral Large 2 leads by 6pts
BigCodeBench 44 52 Mistral Large 2 leads by 8pts

Cost Comparison by Scenario

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

ScenarioGPT-4o miniMistral Large 2Savings
Small Script (1K lines) $0.02 $0.25 GPT-4o mini saves $0.23 (90%)
Medium Feature (10K lines) $0.18 $1.90 GPT-4o mini saves $1.72 (90%)
Large Project (50K lines) $0.92 $9.50 GPT-4o mini saves $8.58 (90%)
Code Review (5K lines) $0.05 $0.50 GPT-4o mini saves $0.45 (91%)

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
Mistral Large 2 65 $0.031/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

Mistral Large 2

  • + European data residency
  • + Good value
  • - Smaller ecosystem

Verdict

GPT-4o mini is cheaper at $0.150/M, but Mistral Large 2 scores higher on benchmarks (65 vs 58).

Choose GPT-4o mini for cost-sensitive projects, Mistral Large 2 when performance matters most.

Compare with Other Models