Compare/Qwen3.6 35B A3B (Reasoning) vs MiniMax M1 80k

Qwen3.6 35B A3B (Reasoning)vsMiniMax M1 80k

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

Alibaba

Qwen3.6 35B A3B (Reasoning)

Input
$0.375/M
Output
$2.25/M
Speed
238 tok/s
TTFT
1.79s
MiniMax

MiniMax M1 80k

Input
$0.55/M
Output
$2.2/M
Speed
TTFT

Winner by Category

Cheaper
Qwen3.6 35B A3B (Reasoning)
Faster (tok/s)
Qwen3.6 35B A3B (Reasoning)
Lower Latency
MiniMax M1 80k
Benchmarks (6-6)
Tie

Pricing Comparison

MetricQwen3.6 35B A3B (Reasoning)MiniMax M1 80k
Input ($/M tokens)$0.375$0.55
Output ($/M tokens)$2.25$2.2
Cost for 1M input + 100K output tokens:
Qwen3.6 35B A3B (Reasoning)$0.60
MiniMax M1 80k$0.77

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.6 35B A3B (Reasoning)
238 tok/s
MiniMax M1 80k
Time to First Token (seconds) — lower is better
Qwen3.6 35B A3B (Reasoning)
1.79s
MiniMax M1 80k

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
43.524.4
Coding Index
35.114.5
Math Index
61.0
GPQA Diamond
84.1%69.7%
MMLU-Pro
81.6%
LiveCodeBench
71.1%
AIME 2025
61.0%
MATH-500
98.0%
Humanity's Last Exam
20.2%8.2%
SciCode
35.8%37.4%
IFBench
64.4%41.8%
TerminalBench
34.8%3.0%
Qwen3.6 35B A3B (Reasoning)6 wins
6 winsMiniMax M1 80k

Frequently Asked Questions

Which is cheaper, Qwen3.6 35B A3B (Reasoning) or MiniMax M1 80k?

Qwen3.6 35B A3B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.84/M tokens vs $0.96/M for MiniMax M1 80k.

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?

Qwen3.6 35B A3B (Reasoning) generates tokens faster at 238 tok/s vs 0 tok/s. However, MiniMax M1 80k has lower time-to-first-token (0.00s vs 1.79s).

When should I use Qwen3.6 35B A3B (Reasoning) vs MiniMax M1 80k?

Choose based on your priorities: Qwen3.6 35B A3B (Reasoning) for lower cost, both perform similarly on benchmarks, and Qwen3.6 35B A3B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.