Compare/Mistral Medium 3.5 vs Qwen3 Max

Mistral Medium 3.5vsQwen3 Max

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

Mistral

Mistral Medium 3.5

Input
$1.5/M
Output
$7.5/M
Speed
155 tok/s
TTFT
0.80s
Alibaba

Qwen3 Max

Input
$1.655/M
Output
$7.225/M
Speed
33 tok/s
TTFT
1.85s

Winner by Category

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

Pricing Comparison

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

Speed Comparison

Output Speed (tokens/s) — higher is better
Mistral Medium 3.5
155 tok/s
Qwen3 Max
33 tok/s
Time to First Token (seconds) — lower is better
Mistral Medium 3.5
0.80s
Qwen3 Max
1.85s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
39.231.4
Coding Index
35.426.4
Math Index
80.7
GPQA Diamond
74.8%76.4%
MMLU-Pro
84.1%
LiveCodeBench
76.7%
AIME 2025
80.7%
MATH-500
Humanity's Last Exam
12.8%11.1%
SciCode
39.6%38.3%
IFBench
68.8%44.1%
TerminalBench
33.3%20.5%
Mistral Medium 3.56 wins
5 winsQwen3 Max

Frequently Asked Questions

Which is cheaper, Mistral Medium 3.5 or Qwen3 Max?

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 155 tok/s vs 33 tok/s. Mistral Medium 3.5 also has lower time-to-first-token (0.80s vs 1.85s).

When should I use Mistral Medium 3.5 vs Qwen3 Max?

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.