Model Comparison
GLM-4.7-Flash (Non-reasoning)
vs. GPT-4.1 mini
Comparing 2 AI models · 12 benchmarks · Z AI, OpenAI
Recommended Pick
Op GPT-4.1 mini 9 metric wins Strongest on: TTFT, Latency, Reasoning
Best Value
GLM-4.7-Flash (Non-reasoning)
100.0 value score
24.1 reasoning / $0.15/1M
Lowest Price
GLM-4.7-Flash (Non-reasoning)
$0.07/1M input price
Best Reasoning
GPT-4.1 mini
46.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-4.1 mini
18.5 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
GLM-4.7-Flash (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-4.7-Flash (Non-reasoning) is 5.7x cheaper on input tokens than GPT-4.1 mini.
Speed gap
GLM-4.7-Flash (Non-reasoning) generates about 1.4x as many tokens per second as GPT-4.1 mini.
Reasoning gap
GPT-4.1 mini leads GLM-4.7-Flash (Non-reasoning) by 21.9 points on reasoning.
Coding gap
GPT-4.1 mini leads GLM-4.7-Flash (Non-reasoning) by 7.5 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-4.7-Flash (Non-reasoning)
Z AI
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
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GPT-4.1 mini
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Z GLM-4.7-Flash (Non-reasoning) | Top Pick Op GPT-4.1 mini |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.07/1M | $0.40/1M |
| Output Cost | $0.40/1M | $1.60/1M |
| Blended (3:1) | $0.15/1M | $0.70/1M |
| Specifications | ||
| Organization | Z AI | OpenAI |
| Release Date | Jan 19, 2026 | Apr 14, 2025 |
| Performance & Speed | ||
| Throughput | 105.6 tok/s | 74.5 tok/s |
| TTFT | 1500ms | 514ms |
| Latency | 1500ms | 514ms |
| Composite Indices | ||
| Value Score | 100.0 | 41.6 |
| Reasoning Score | 24.1 | 46.0 |
| Intelligence | 22.1 | 22.9 |
| Coding | 11.0 | 18.5 |
| Math | — | 46.3 |
| Standard Benchmarks | ||
| GPQA | 45.2% | 66.4% |
| MMLU Pro | — | 78.1% |
| HLE | 4.9% | 4.6% |
| LiveCodeBench | — | 48.3% |
| MATH 500 | — | 92.5% |
| AIME 2025 | — | 46.3% |
| AIME (Original) | — | 43.0% |
| SciCode | 25.5% | 40.4% |
| LCR | 14.7% | 42.3% |
| IFBench | 46.3% | 38.3% |
| TAU-bench v2 | 91.8% | 52.9% |
| TerminalBench Hard | 3.8% | 7.6% |
Key Takeaways
GLM-4.7-Flash (Non-reasoning) offers the best value at $0.07/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-4.1 mini has the strongest reasoning profile with a 46.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-4.1 mini reaches a 18.5 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-4.7-Flash (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
GPT-4.1 mini
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
