Compare/Mistral Small 3.2 vs Step 3.5 Flash 2603

Mistral Small 3.2vsStep 3.5 Flash 2603

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

Mistral

Mistral Small 3.2

Input
$0.1/M
Output
$0.3/M
Speed
142 tok/s
TTFT
0.42s
StepFun

Step 3.5 Flash 2603

Input
$0.1/M
Output
$0.3/M
Speed
180 tok/s
TTFT
0.92s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Step 3.5 Flash 2603
Lower Latency
Mistral Small 3.2
Benchmarks (6-6)
Tie

Pricing Comparison

MetricMistral Small 3.2Step 3.5 Flash 2603
Input ($/M tokens)$0.1$0.1
Output ($/M tokens)$0.3$0.3
Cost for 1M input + 100K output tokens:
Mistral Small 3.2$0.13
Step 3.5 Flash 2603$0.13

Speed Comparison

Output Speed (tokens/s) — higher is better
Mistral Small 3.2
142 tok/s
Step 3.5 Flash 2603
180 tok/s
Time to First Token (seconds) — lower is better
Mistral Small 3.2
0.42s
Step 3.5 Flash 2603
0.92s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
10.626.0
Coding Index
12.5
Math Index
27.0
GPQA Diamond
50.5%82.6%
MMLU-Pro
68.1%
LiveCodeBench
27.5%
AIME 2025
27.0%
MATH-500
88.3%
Humanity's Last Exam
4.3%22.6%
SciCode
26.4%38.5%
IFBench
33.5%66.5%
TerminalBench
6.8%32.6%
Mistral Small 3.26 wins
6 winsStep 3.5 Flash 2603

Frequently Asked Questions

Which is cheaper, Mistral Small 3.2 or Step 3.5 Flash 2603?

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

Which model performs better on benchmarks?

It's a tie — both models win 6 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Step 3.5 Flash 2603 generates tokens faster at 180 tok/s vs 142 tok/s. Mistral Small 3.2 also has lower time-to-first-token (0.42s vs 0.92s).

When should I use Mistral Small 3.2 vs Step 3.5 Flash 2603?

Choose based on your priorities: both are similarly priced, both perform similarly on benchmarks, and Step 3.5 Flash 2603 for faster generation. For latency-sensitive apps, check the TTFT comparison above.