Mistral Large 2 vs GPT-4.1 mini

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

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

Benchmark Performance Comparison

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

BenchmarkMistral Large 2GPT-4.1 miniLeader
Overall Score 65 68 GPT-4.1 Mini leads by 3pts
SWE-bench Verified 58 62 GPT-4.1 Mini leads by 4pts
LiveCodeBench 66 70 GPT-4.1 Mini leads by 4pts
HumanEval 84 86 GPT-4.1 Mini leads by 2pts
BigCodeBench 52 54 GPT-4.1 Mini leads by 2pts

Cost Comparison by Scenario

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

ScenarioMistral Large 2GPT-4.1 miniSavings
Small Script (1K lines) $0.25 $0.06 GPT-4.1 mini saves $0.19 (75%)
Medium Feature (10K lines) $1.90 $0.46 GPT-4.1 mini saves $1.44 (76%)
Large Project (50K lines) $9.50 $2.30 GPT-4.1 mini saves $7.20 (76%)
Code Review (5K lines) $0.50 $0.11 GPT-4.1 mini saves $0.39 (78%)

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
Mistral Large 2 65 $0.031/pt Higher cost per point
GPT-4.1 mini 68 $0.022/pt Better value

GPT-4.1 mini delivers the best value at $0.022 per score point.

Strengths & Weaknesses

Mistral Large 2

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

GPT-4.1 mini

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

Verdict

GPT-4.1 mini wins on both price and performance — $0.400/M input with a benchmark score of 68/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models