Compare/Magistral Small 1.2 vs GPT-3.5 Turbo

Magistral Small 1.2vsGPT-3.5 Turbo

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

Mistral

Magistral Small 1.2

Input
$0.5/M
Output
$1.5/M
Speed
83 tok/s
TTFT
0.47s
OpenAI

GPT-3.5 Turbo

Input
$0.5/M
Output
$1.5/M
Speed
129 tok/s
TTFT
0.80s

Winner by Category

Cheaper
Tie
Faster (tok/s)
GPT-3.5 Turbo
Lower Latency
Magistral Small 1.2
Benchmarks (11-1)
Magistral Small 1.2

Pricing Comparison

MetricMagistral Small 1.2GPT-3.5 Turbo
Input ($/M tokens)$0.5$0.5
Output ($/M tokens)$1.5$1.5
Cost for 1M input + 100K output tokens:
Magistral Small 1.2$0.65
GPT-3.5 Turbo$0.65

Speed Comparison

Output Speed (tokens/s) — higher is better
Magistral Small 1.2
83 tok/s
GPT-3.5 Turbo
129 tok/s
Time to First Token (seconds) — lower is better
Magistral Small 1.2
0.47s
GPT-3.5 Turbo
0.80s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
11.33.6
Coding Index
14.710.7
Math Index
80.3
GPQA Diamond
66.3%29.7%
MMLU-Pro
76.8%46.2%
LiveCodeBench
72.3%
AIME 2025
80.3%
MATH-500
44.1%
Humanity's Last Exam
6.1%
SciCode
35.2%
IFBench
44.4%
TerminalBench
4.5%
Magistral Small 1.211 wins
1 winsGPT-3.5 Turbo

Frequently Asked Questions

Which is cheaper, Magistral Small 1.2 or GPT-3.5 Turbo?

Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.

Which model performs better on benchmarks?

Magistral Small 1.2 wins 11 out of 12 benchmarks compared to 1 for GPT-3.5 Turbo. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-3.5 Turbo generates tokens faster at 129 tok/s vs 83 tok/s. Magistral Small 1.2 also has lower time-to-first-token (0.47s vs 0.80s).

When should I use Magistral Small 1.2 vs GPT-3.5 Turbo?

Choose based on your priorities: both are similarly priced, Magistral Small 1.2 for stronger benchmark performance, and GPT-3.5 Turbo for faster generation. For latency-sensitive apps, check the TTFT comparison above.