Compare/Qwen3 Max vs Mistral Medium 3.5

Qwen3 MaxvsMistral Medium 3.5

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

Alibaba

Qwen3 Max

Input
$1.655/M
Output
$7.225/M
Speed
33 tok/s
TTFT
1.89s
Mistral

Mistral Medium 3.5

Input
$1.5/M
Output
$7.5/M
Speed
151 tok/s
TTFT
0.78s

Winner by Category

Cheaper
Mistral Medium 3.5
Faster (tok/s)
Mistral Medium 3.5
Lower Latency
Mistral Medium 3.5
Benchmarks (5-6)
Mistral Medium 3.5

Pricing Comparison

MetricQwen3 MaxMistral Medium 3.5
Input ($/M tokens)$1.655$1.5
Output ($/M tokens)$7.225$7.5
Cost for 1M input + 100K output tokens:
Qwen3 Max$2.38
Mistral Medium 3.5$2.25

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 Max
33 tok/s
Mistral Medium 3.5
151 tok/s
Time to First Token (seconds) — lower is better
Qwen3 Max
1.89s
Mistral Medium 3.5
0.78s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
31.439.2
Coding Index
26.435.4
Math Index
80.7
GPQA Diamond
76.4%74.8%
MMLU-Pro
84.1%
LiveCodeBench
76.7%
AIME 2025
80.7%
MATH-500
Humanity's Last Exam
11.1%12.8%
SciCode
38.3%39.6%
IFBench
44.1%68.8%
TerminalBench
20.5%33.3%
Qwen3 Max5 wins
6 winsMistral Medium 3.5

Frequently Asked Questions

Which is cheaper, Qwen3 Max or Mistral Medium 3.5?

Mistral Medium 3.5 is cheaper overall. Its blended price (3:1 input/output ratio) is $3.00/M tokens vs $3.05/M for Qwen3 Max.

Which model performs better on benchmarks?

Mistral Medium 3.5 wins 6 out of 12 benchmarks compared to 5 for Qwen3 Max. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Mistral Medium 3.5 generates tokens faster at 151 tok/s vs 33 tok/s. However, Mistral Medium 3.5 has lower time-to-first-token (0.78s vs 1.89s).

When should I use Qwen3 Max vs Mistral Medium 3.5?

Choose based on your priorities: Mistral Medium 3.5 for lower cost, Mistral Medium 3.5 for stronger benchmark performance, and Mistral Medium 3.5 for faster generation. For latency-sensitive apps, check the TTFT comparison above.