Mistral Nemo vs GPT-4.1

Performance benchmarks + pricing comparison — updated April 2026

Mistral Nemo

Mistral

Compact 12B open-weight model co-developed with NVIDIA. Excellent coding performance at minimal cost.

Input$0.150/M
Output$0.150/M
Context128K tokens
Best ForSelf-hosted deployments, cost-sensitive coding, edge deployments
Benchmark48/100

GPT-4.1

OpenAI

Updated GPT-4 generation with improved instruction following and reduced hallucination. Better coding accuracy than GPT-4o.

Input$2.00/M
Output$8.00/M
Context128K tokens
Best ForProduction coding, API development, complex instructions
Benchmark80/100

Benchmark Performance Comparison

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

BenchmarkMistral NemoGPT-4.1Leader
Overall Score 48 80 GPT-4.1 leads by 32pts
SWE-bench Verified 40 76 GPT-4.1 leads by 36pts
LiveCodeBench 50 82 GPT-4.1 leads by 32pts
HumanEval 70 94 GPT-4.1 leads by 24pts
BigCodeBench 32 68 GPT-4.1 leads by 36pts

Cost Comparison by Scenario

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

ScenarioMistral NemoGPT-4.1Savings
Small Script (1K lines) <$0.01 $0.31 Mistral Nemo saves $0.30 (97%)
Medium Feature (10K lines) $0.08 $2.30 Mistral Nemo saves $2.22 (96%)
Large Project (50K lines) $0.41 $11.50 Mistral Nemo saves $11.09 (96%)
Code Review (5K lines) $0.03 $0.55 Mistral Nemo saves $0.52 (95%)

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 Nemo 48 $0.002/pt Better value
GPT-4.1 80 $0.063/pt Higher cost per point

Mistral Nemo delivers the best value at $0.002 per score point.

Strengths & Weaknesses

Mistral Nemo

  • + Open weight
  • + Self-hostable
  • - Basic coding ability

GPT-4.1

  • + Latest GPT model
  • + Strong across all benchmarks
  • - Premium pricing

Verdict

Mistral Nemo is cheaper at $0.150/M, but GPT-4.1 scores higher on benchmarks (80 vs 48).

Choose Mistral Nemo for cost-sensitive projects, GPT-4.1 when performance matters most.

Compare with Other Models