Model Comparison
GPT-4.1 nano
vs. Qwen3.7 Max
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen3.7 Max 11 metric wins Strongest on: Throughput, Reasoning, Intelligence
Best Value
GPT-4.1 nano
100.0 value score
32.1 reasoning / $0.18/1M
Lowest Price
GPT-4.1 nano
$0.10/1M input price
Best Reasoning
Qwen3.7 Max
62.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.7 Max
50.1 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
GPT-4.1 nano has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-4.1 nano is 25x cheaper on input tokens than Qwen3.7 Max.
Speed gap
Qwen3.7 Max generates about 1.5x as many tokens per second as GPT-4.1 nano.
Reasoning gap
Qwen3.7 Max leads GPT-4.1 nano by 30.3 points on reasoning.
Coding gap
Qwen3.7 Max leads GPT-4.1 nano by 38.9 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4.1 nano
OpenAI
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.7 Max
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-4.1 nano | Top Pick Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $2.50/1M |
| Output Cost | $0.40/1M | $7.50/1M |
| Blended (3:1) | $0.18/1M | $3.75/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Apr 14, 2025 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | 123.8 tok/s | 187.5 tok/s |
| TTFT | 534ms | 1713ms |
| Latency | 534ms | 14561ms |
| Composite Indices | ||
| Value Score | 100.0 | 9.1 |
| Reasoning Score | 32.1 | 62.3 |
| Intelligence | 13.0 | 56.6 |
| Coding | 11.2 | 50.1 |
| Math | 24.0 | — |
| Standard Benchmarks | ||
| GPQA | 51.2% | 92.3% |
| MMLU Pro | 65.7% | — |
| HLE | 3.9% | 38.1% |
| LiveCodeBench | 32.6% | — |
| MATH 500 | 84.8% | — |
| AIME 2025 | 24.0% | — |
| AIME (Original) | 23.7% | — |
| SciCode | 25.9% | 48.8% |
| LCR | 17.0% | 69.0% |
| IFBench | 32.0% | 80.5% |
| TAU-bench v2 | 17.3% | 94.7% |
| TerminalBench Hard | 3.8% | 50.8% |
Key Takeaways
GPT-4.1 nano offers the best value at $0.10/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.7 Max has the strongest reasoning profile with a 62.3 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.7 Max reaches a 50.1 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
GPT-4.1 nano
- Cost-sensitive applications
- High-volume processing
Qwen3.7 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
