Compare/MiniMax M1 80k vs GLM-4.7 (Reasoning)

MiniMax M1 80kvsGLM-4.7 (Reasoning)

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

MiniMax

MiniMax M1 80k

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

GLM-4.7 (Reasoning)

Input
$0.6/M
Output
$2.2/M
Speed
80 tok/s
TTFT
0.72s

Winner by Category

Cheaper
MiniMax M1 80k
Faster (tok/s)
GLM-4.7 (Reasoning)
Lower Latency
MiniMax M1 80k
Benchmarks (1-11)
GLM-4.7 (Reasoning)

Pricing Comparison

MetricMiniMax M1 80kGLM-4.7 (Reasoning)
Input ($/M tokens)$0.55$0.6
Output ($/M tokens)$2.2$2.2
Cost for 1M input + 100K output tokens:
MiniMax M1 80k$0.77
GLM-4.7 (Reasoning)$0.82

Speed Comparison

Output Speed (tokens/s) — higher is better
MiniMax M1 80k
GLM-4.7 (Reasoning)
80 tok/s
Time to First Token (seconds) — lower is better
MiniMax M1 80k
GLM-4.7 (Reasoning)
0.72s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
24.442.1
Coding Index
14.536.3
Math Index
61.095.0
GPQA Diamond
69.7%85.9%
MMLU-Pro
81.6%85.6%
LiveCodeBench
71.1%89.4%
AIME 2025
61.0%95.0%
MATH-500
98.0%
Humanity's Last Exam
8.2%25.1%
SciCode
37.4%45.1%
IFBench
41.8%67.9%
TerminalBench
3.0%31.8%
MiniMax M1 80k1 wins
11 winsGLM-4.7 (Reasoning)

Frequently Asked Questions

Which is cheaper, MiniMax M1 80k or GLM-4.7 (Reasoning)?

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-4.7 (Reasoning).

Which model performs better on benchmarks?

GLM-4.7 (Reasoning) wins 11 out of 12 benchmarks compared to 1 for MiniMax M1 80k. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GLM-4.7 (Reasoning) generates tokens faster at 80 tok/s vs 0 tok/s. MiniMax M1 80k also has lower time-to-first-token (0.00s vs 0.72s).

When should I use MiniMax M1 80k vs GLM-4.7 (Reasoning)?

Choose based on your priorities: MiniMax M1 80k for lower cost, GLM-4.7 (Reasoning) for stronger benchmark performance, and GLM-4.7 (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.