Compare/Ministral 3 3B vs Qwen3.5 2B (Reasoning)

Ministral 3 3BvsQwen3.5 2B (Reasoning)

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

Mistral

Ministral 3 3B

Input
$0.1/M
Output
$0.1/M
Speed
279 tok/s
TTFT
0.29s
Alibaba

Qwen3.5 2B (Reasoning)

Input
$0.02/M
Output
$0.1/M
Speed
357 tok/s
TTFT
0.54s

Winner by Category

Cheaper
Qwen3.5 2B (Reasoning)
Faster (tok/s)
Qwen3.5 2B (Reasoning)
Lower Latency
Ministral 3 3B
Benchmarks (7-4)
Ministral 3 3B

Pricing Comparison

MetricMinistral 3 3BQwen3.5 2B (Reasoning)
Input ($/M tokens)$0.1$0.02
Output ($/M tokens)$0.1$0.1
Cost for 1M input + 100K output tokens:
Ministral 3 3B$0.11
Qwen3.5 2B (Reasoning)$0.03

Speed Comparison

Output Speed (tokens/s) — higher is better
Ministral 3 3B
279 tok/s
Qwen3.5 2B (Reasoning)
357 tok/s
Time to First Token (seconds) — lower is better
Ministral 3 3B
0.29s
Qwen3.5 2B (Reasoning)
0.54s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
11.216.3
Coding Index
4.83.5
Math Index
22.0
GPQA Diamond
35.8%45.6%
MMLU-Pro
52.4%
LiveCodeBench
24.7%
AIME 2025
22.0%
MATH-500
Humanity's Last Exam
5.3%2.1%
SciCode
14.4%2.8%
IFBench
26.8%31.5%
TerminalBench
0.0%3.8%
Ministral 3 3B7 wins
4 winsQwen3.5 2B (Reasoning)

Frequently Asked Questions

Which is cheaper, Ministral 3 3B or Qwen3.5 2B (Reasoning)?

Qwen3.5 2B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.04/M tokens vs $0.10/M for Ministral 3 3B.

Which model performs better on benchmarks?

Ministral 3 3B wins 7 out of 12 benchmarks compared to 4 for Qwen3.5 2B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.5 2B (Reasoning) generates tokens faster at 357 tok/s vs 279 tok/s. Ministral 3 3B also has lower time-to-first-token (0.29s vs 0.54s).

When should I use Ministral 3 3B vs Qwen3.5 2B (Reasoning)?

Choose based on your priorities: Qwen3.5 2B (Reasoning) for lower cost, Ministral 3 3B for stronger benchmark performance, and Qwen3.5 2B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.