Compare/Step 3.5 Flash vs Mistral Small 3.2

Step 3.5 FlashvsMistral Small 3.2

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

StepFun

Step 3.5 Flash

Input
$0.1/M
Output
$0.3/M
Speed
84 tok/s
TTFT
2.77s
Mistral

Mistral Small 3.2

Input
$0.1/M
Output
$0.3/M
Speed
123 tok/s
TTFT
0.38s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Mistral Small 3.2
Lower Latency
Mistral Small 3.2
Benchmarks (7-5)
Step 3.5 Flash

Pricing Comparison

MetricStep 3.5 FlashMistral Small 3.2
Input ($/M tokens)$0.1$0.1
Output ($/M tokens)$0.3$0.3
Cost for 1M input + 100K output tokens:
Step 3.5 Flash$0.13
Mistral Small 3.2$0.13

Speed Comparison

Output Speed (tokens/s) — higher is better
Step 3.5 Flash
84 tok/s
Mistral Small 3.2
123 tok/s
Time to First Token (seconds) — lower is better
Step 3.5 Flash
2.77s
Mistral Small 3.2
0.38s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
37.815.1
Coding Index
31.613.3
Math Index
27.0
GPQA Diamond
83.1%50.5%
MMLU-Pro
68.1%
LiveCodeBench
27.5%
AIME 2025
27.0%
MATH-500
88.3%
Humanity's Last Exam
19.1%4.3%
SciCode
40.4%26.4%
IFBench
64.6%33.5%
TerminalBench
27.3%6.8%
Step 3.5 Flash7 wins
5 winsMistral Small 3.2

Frequently Asked Questions

Which is cheaper, Step 3.5 Flash or Mistral Small 3.2?

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

Which model performs better on benchmarks?

Step 3.5 Flash wins 7 out of 12 benchmarks compared to 5 for Mistral Small 3.2. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Mistral Small 3.2 generates tokens faster at 123 tok/s vs 84 tok/s. However, Mistral Small 3.2 has lower time-to-first-token (0.38s vs 2.77s).

When should I use Step 3.5 Flash vs Mistral Small 3.2?

Choose based on your priorities: both are similarly priced, Step 3.5 Flash for stronger benchmark performance, and Mistral Small 3.2 for faster generation. For latency-sensitive apps, check the TTFT comparison above.