Compare/GPT-4.1 mini vs Magistral Small 1.2

GPT-4.1 minivsMagistral Small 1.2

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

OpenAI

GPT-4.1 mini

Input
$0.4/M
Output
$1.6/M
Speed
83 tok/s
TTFT
0.63s
Mistral

Magistral Small 1.2

Input
$0.5/M
Output
$1.5/M
Speed
190 tok/s
TTFT
0.33s

Winner by Category

Cheaper
GPT-4.1 mini
Faster (tok/s)
Magistral Small 1.2
Lower Latency
Magistral Small 1.2
Benchmarks (7-5)
GPT-4.1 mini

Pricing Comparison

MetricGPT-4.1 miniMagistral Small 1.2
Input ($/M tokens)$0.4$0.5
Output ($/M tokens)$1.6$1.5
Cost for 1M input + 100K output tokens:
GPT-4.1 mini$0.56
Magistral Small 1.2$0.65

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-4.1 mini
83 tok/s
Magistral Small 1.2
190 tok/s
Time to First Token (seconds) — lower is better
GPT-4.1 mini
0.63s
Magistral Small 1.2
0.33s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
22.918.2
Coding Index
18.514.8
Math Index
46.380.3
GPQA Diamond
66.4%66.3%
MMLU-Pro
78.1%76.8%
LiveCodeBench
48.3%72.3%
AIME 2025
46.3%80.3%
MATH-500
92.5%
Humanity's Last Exam
4.6%6.1%
SciCode
40.4%35.2%
IFBench
38.3%44.4%
TerminalBench
7.6%4.5%
GPT-4.1 mini7 wins
5 winsMagistral Small 1.2

Frequently Asked Questions

Which is cheaper, GPT-4.1 mini or Magistral Small 1.2?

GPT-4.1 mini is cheaper overall. Its blended price (3:1 input/output ratio) is $0.70/M tokens vs $0.75/M for Magistral Small 1.2.

Which model performs better on benchmarks?

GPT-4.1 mini wins 7 out of 12 benchmarks compared to 5 for Magistral Small 1.2. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Magistral Small 1.2 generates tokens faster at 190 tok/s vs 83 tok/s. However, Magistral Small 1.2 has lower time-to-first-token (0.33s vs 0.63s).

When should I use GPT-4.1 mini vs Magistral Small 1.2?

Choose based on your priorities: GPT-4.1 mini for lower cost, GPT-4.1 mini for stronger benchmark performance, and Magistral Small 1.2 for faster generation. For latency-sensitive apps, check the TTFT comparison above.