Compare/GPT-3.5 Turbo vs Magistral Small 1.2

GPT-3.5 TurbovsMagistral Small 1.2

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

OpenAI

GPT-3.5 Turbo

Input
$0.5/M
Output
$1.5/M
Speed
100 tok/s
TTFT
0.43s
Mistral

Magistral Small 1.2

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

Winner by Category

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

Pricing Comparison

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

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-3.5 Turbo
100 tok/s
Magistral Small 1.2
190 tok/s
Time to First Token (seconds) — lower is better
GPT-3.5 Turbo
0.43s
Magistral Small 1.2
0.33s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
9.018.2
Coding Index
10.714.8
Math Index
80.3
GPQA Diamond
29.7%66.3%
MMLU-Pro
46.2%76.8%
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%
GPT-3.5 Turbo1 wins
11 winsMagistral Small 1.2

Frequently Asked Questions

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

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?

Magistral Small 1.2 generates tokens faster at 190 tok/s vs 100 tok/s. However, Magistral Small 1.2 has lower time-to-first-token (0.33s vs 0.43s).

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

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