Model Comparison
GLM-4.5V (Reasoning)
vs. M2.7
Comparing 2 AI models · 10 benchmarks · Z AI, MiniMax
Recommended Pick
Mi M2.7 16 metric wins Strongest on: Value, Input price, Output price
Best Value
M2.7
100.0 value score
55.0 reasoning / $0.52/1M
Lowest Price
M2.7
$0.30/1M input price
Best Reasoning
M2.7
55.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
M2.7
41.9 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
M2.7 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
M2.7 is 2.0x cheaper on input tokens than GLM-4.5V (Reasoning).
Speed gap
M2.7 generates about 2.0x as many tokens per second as GLM-4.5V (Reasoning).
Reasoning gap
M2.7 leads GLM-4.5V (Reasoning) by 8.0 points on reasoning.
Coding gap
M2.7 leads GLM-4.5V (Reasoning) by 31.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-4.5V (Reasoning)
Z AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M2.7
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Z GLM-4.5V (Reasoning) | Top Pick Mi M2.7 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.30/1M |
| Output Cost | $1.80/1M | $1.20/1M |
| Blended (3:1) | $0.90/1M | $0.52/1M |
| Specifications | ||
| Organization | Z AI | MiniMax |
| Release Date | Aug 11, 2025 | Mar 18, 2026 |
| Performance & Speed | ||
| Throughput | 31.0 tok/s | 62.4 tok/s |
| TTFT | 1195ms | 1230ms |
| Latency | 65720ms | 40674ms |
| Composite Indices | ||
| Value Score | 49.9 | 100.0 |
| Reasoning Score | 47.1 | 55.0 |
| Intelligence | 15.1 | 49.6 |
| Coding | 10.9 | 41.9 |
| Math | 73.0 | — |
| Standard Benchmarks | ||
| GPQA | 68.4% | 87.4% |
| MMLU Pro | 78.8% | — |
| HLE | 5.9% | 28.1% |
| LiveCodeBench | 60.4% | — |
| AIME 2025 | 73.0% | — |
| SciCode | 22.1% | 47.0% |
| LCR | 0.0% | 68.7% |
| IFBench | 34.2% | 75.7% |
| TAU-bench v2 | 22.5% | 84.8% |
| TerminalBench Hard | 5.3% | 39.4% |
Key Takeaways
M2.7 offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
M2.7 has the strongest reasoning profile with a 55.0 reasoning score, combining the available reasoning-heavy benchmarks.
M2.7 reaches a 41.9 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-4.5V (Reasoning)
- General-purpose AI
- Versatile applications
M2.7
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
