Compare/GLM-4.6 (Non-reasoning) vs MiniMax M1 80k

GLM-4.6 (Non-reasoning)vsMiniMax M1 80k

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

Z AI

GLM-4.6 (Non-reasoning)

Input
$0.6/M
Output
$2.2/M
Speed
86 tok/s
TTFT
1.68s
MiniMax

MiniMax M1 80k

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

Winner by Category

Cheaper
MiniMax M1 80k
Faster (tok/s)
GLM-4.6 (Non-reasoning)
Lower Latency
MiniMax M1 80k
Benchmarks (3-9)
MiniMax M1 80k

Pricing Comparison

MetricGLM-4.6 (Non-reasoning)MiniMax M1 80k
Input ($/M tokens)$0.6$0.55
Output ($/M tokens)$2.2$2.2
Cost for 1M input + 100K output tokens:
GLM-4.6 (Non-reasoning)$0.82
MiniMax M1 80k$0.77

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-4.6 (Non-reasoning)
86 tok/s
MiniMax M1 80k
Time to First Token (seconds) — lower is better
GLM-4.6 (Non-reasoning)
1.68s
MiniMax M1 80k

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
30.224.4
Coding Index
30.214.5
Math Index
44.361.0
GPQA Diamond
63.2%69.7%
MMLU-Pro
78.4%81.6%
LiveCodeBench
56.1%71.1%
AIME 2025
44.3%61.0%
MATH-500
98.0%
Humanity's Last Exam
5.2%8.2%
SciCode
33.1%37.4%
IFBench
36.7%41.8%
TerminalBench
28.8%3.0%
GLM-4.6 (Non-reasoning)3 wins
9 winsMiniMax M1 80k

Frequently Asked Questions

Which is cheaper, GLM-4.6 (Non-reasoning) or MiniMax M1 80k?

MiniMax M1 80k is cheaper overall. Its blended price (3:1 input/output ratio) is $0.96/M tokens vs $1.00/M for GLM-4.6 (Non-reasoning).

Which model performs better on benchmarks?

MiniMax M1 80k wins 9 out of 12 benchmarks compared to 3 for GLM-4.6 (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GLM-4.6 (Non-reasoning) generates tokens faster at 86 tok/s vs 0 tok/s. However, MiniMax M1 80k has lower time-to-first-token (0.00s vs 1.68s).

When should I use GLM-4.6 (Non-reasoning) vs MiniMax M1 80k?

Choose based on your priorities: MiniMax M1 80k for lower cost, MiniMax M1 80k for stronger benchmark performance, and GLM-4.6 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.