Model Comparison
GLM-5.2 (max)
vs. M3
Comparing 2 AI models · 7 benchmarks · Z AI, MiniMax
Recommended Pick
Z GLM-5.2 (max) 9 metric wins Strongest on: Throughput, Latency, Reasoning
Best Value
M3
100.0 value score
58.1 reasoning / $0.52/1M
Lowest Price
M3
$0.30/1M input price
Best Reasoning
GLM-5.2 (max)
60.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.2 (max)
50.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
M3 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
M3 is 4.7x cheaper on input tokens than GLM-5.2 (max).
Speed gap
GLM-5.2 (max) generates about 2.0x as many tokens per second as M3.
Reasoning gap
GLM-5.2 (max) leads M3 by 2.0 points on reasoning.
Coding gap
GLM-5.2 (max) leads M3 by 7.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.2 (max)
Z AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M3
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Z GLM-5.2 (max) | Mi M3 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $0.30/1M |
| Output Cost | $4.40/1M | $1.20/1M |
| Blended (3:1) | $2.15/1M | $0.52/1M |
| Specifications | ||
| Organization | Z AI | MiniMax |
| Release Date | Jun 16, 2026 | Jun 1, 2026 |
| Performance & Speed | ||
| Throughput | 114.2 tok/s | 57.0 tok/s |
| TTFT | 2125ms | 1875ms |
| Latency | 19644ms | 36955ms |
| Composite Indices | ||
| Value Score | 25.2 | 100.0 |
| Reasoning Score | 60.1 | 58.1 |
| Intelligence | 50.7 | 44.4 |
| Coding | 50.7 | 43.4 |
| Standard Benchmarks | ||
| GPQA | 89.5% | 92.9% |
| HLE | 40.1% | 37.1% |
| SciCode | 50.5% | 45.4% |
| LCR | 71.3% | 74.0% |
| IFBench | 73.3% | 82.9% |
| TAU-bench v2 | 99.1% | 88.9% |
| TerminalBench Hard | 50.8% | 42.4% |
Key Takeaways
M3 offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-5.2 (max) has the strongest reasoning profile with a 60.1 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-5.2 (max) reaches a 50.7 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GLM-5.2 (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
M3
- Cost-sensitive applications
- High-volume processing
