Model Comparison
GLM-5.1 (Non-reasoning)
vs. o3-mini
Comparing 2 AI models · 11 benchmarks · Z AI, OpenAI
Recommended Pick
Z GLM-5.1 (Non-reasoning) 8 metric wins Strongest on: TTFT, Latency, Intelligence
Best Value
o3-mini
100.0 value score
56.7 reasoning / $1.93/1M
Lowest Price
o3-mini
$1.10/1M input price
Best Reasoning
o3-mini
56.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.1 (Non-reasoning)
35.8 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
o3-mini has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
o3-mini is 1.3x cheaper on input tokens than GLM-5.1 (Non-reasoning).
Speed gap
o3-mini generates about 2.7x as many tokens per second as GLM-5.1 (Non-reasoning).
Reasoning gap
o3-mini leads GLM-5.1 (Non-reasoning) by 5.6 points on reasoning.
Coding gap
GLM-5.1 (Non-reasoning) leads o3-mini by 17.9 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.1 (Non-reasoning)
Z AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
o3-mini
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Z GLM-5.1 (Non-reasoning) | Op o3-mini |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $1.10/1M |
| Output Cost | $4.40/1M | $4.40/1M |
| Blended (3:1) | $2.15/1M | $1.93/1M |
| Specifications | ||
| Organization | Z AI | OpenAI |
| Release Date | Apr 7, 2026 | Jan 31, 2025 |
| Performance & Speed | ||
| Throughput | 66.4 tok/s | 181.6 tok/s |
| TTFT | 805ms | 5464ms |
| Latency | 805ms | 5464ms |
| Composite Indices | ||
| Value Score | 80.6 | 100.0 |
| Reasoning Score | 51.1 | 56.7 |
| Intelligence | 43.8 | 25.9 |
| Coding | 35.8 | 17.9 |
| Standard Benchmarks | ||
| GPQA | 83.9% | 74.8% |
| MMLU Pro | — | 79.1% |
| HLE | 25.6% | 8.7% |
| LiveCodeBench | — | 71.7% |
| MATH 500 | — | 97.3% |
| AIME (Original) | — | 77.0% |
| SciCode | 36.1% | 39.9% |
| LCR | 44.3% | — |
| IFBench | 52.0% | — |
| TAU-bench v2 | 97.1% | 28.7% |
| TerminalBench Hard | 35.6% | 6.8% |
Key Takeaways
o3-mini offers the best value at $1.10/1M, making it ideal for high-volume applications and cost-conscious projects.
o3-mini has the strongest reasoning profile with a 56.7 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-5.1 (Non-reasoning) reaches a 35.8 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-5.1 (Non-reasoning)
- Code generation
- Software development
o3-mini
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
