Compare/Mistral Large 2 (Jul '24) vs Qwen3 Max

Mistral Large 2 (Jul '24)vsQwen3 Max

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

Mistral

Mistral Large 2 (Jul '24)

Input
$2/M
Output
$6/M
Speed
TTFT
Alibaba

Qwen3 Max

Input
$1.2/M
Output
$6/M
Speed
33 tok/s
TTFT
1.78s

Winner by Category

Cheaper
Qwen3 Max
Faster (tok/s)
Qwen3 Max
Lower Latency
Mistral Large 2 (Jul '24)
Benchmarks (1-11)
Qwen3 Max

Pricing Comparison

MetricMistral Large 2 (Jul '24)Qwen3 Max
Input ($/M tokens)$2$1.2
Output ($/M tokens)$6$6
Cost for 1M input + 100K output tokens:
Mistral Large 2 (Jul '24)$2.60
Qwen3 Max$1.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Mistral Large 2 (Jul '24)
Qwen3 Max
33 tok/s
Time to First Token (seconds) — lower is better
Mistral Large 2 (Jul '24)
Qwen3 Max
1.78s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
13.031.4
Coding Index
26.4
Math Index
0.080.7
GPQA Diamond
47.2%76.4%
MMLU-Pro
68.3%84.1%
LiveCodeBench
26.7%76.7%
AIME 2025
0.0%80.7%
MATH-500
71.4%
Humanity's Last Exam
3.2%11.1%
SciCode
27.1%38.3%
IFBench
31.6%44.1%
TerminalBench
20.5%
Mistral Large 2 (Jul '24)1 wins
11 winsQwen3 Max

Frequently Asked Questions

Which is cheaper, Mistral Large 2 (Jul '24) or Qwen3 Max?

Qwen3 Max is cheaper overall. Its blended price (3:1 input/output ratio) is $2.40/M tokens vs $3.00/M for Mistral Large 2 (Jul '24).

Which model performs better on benchmarks?

Qwen3 Max wins 11 out of 12 benchmarks compared to 1 for Mistral Large 2 (Jul '24). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 Max generates tokens faster at 33 tok/s vs 0 tok/s. Mistral Large 2 (Jul '24) also has lower time-to-first-token (0.00s vs 1.78s).

When should I use Mistral Large 2 (Jul '24) vs Qwen3 Max?

Choose based on your priorities: Qwen3 Max for lower cost, Qwen3 Max for stronger benchmark performance, and Qwen3 Max for faster generation. For latency-sensitive apps, check the TTFT comparison above.