Model Comparison
GPT-5.2 (medium)
vs. Qwen3.7 Max
Comparing 2 AI models · 10 benchmarks · OpenAI, Alibaba
Recommended Pick
Strongest on: Value, Output price, Blended price
Best Value
Qwen3.7 Max
100.0 value score
62.3 reasoning / $3.75/1M
Lowest Price
GPT-5.2 (medium)
$1.75/1M input price
Best Reasoning
GPT-5.2 (medium)
70.3 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
Qwen3.7 Max has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-5.2 (medium) is 1.4x cheaper on input tokens than Qwen3.7 Max.
Reasoning gap
GPT-5.2 (medium) leads Qwen3.7 Max by 7.9 points on reasoning.
Coding gap
Qwen3.7 Max leads GPT-5.2 (medium) by 5.9 points on coding.
Top-pick rationale
Qwen3.7 Max wins 13 measurable categories, including Value, Output price, Blended price, Throughput.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5.2 (medium)
OpenAI
TTFT
—
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-5.2 (medium) | Top Pick Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.75/1M | $2.50/1M |
| Output Cost | $14.00/1M | $7.50/1M |
| Blended (3:1) | $4.81/1M | $3.75/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Dec 11, 2025 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | — | 186.5 tok/s |
| TTFT | — | 1754ms |
| Latency | — | 14673ms |
| Composite Indices | ||
| Value Score | 87.8 | 100.0 |
| Reasoning Score | 70.3 | 62.3 |
| Intelligence | 46.6 | 56.6 |
| Coding | 44.2 | 50.1 |
| Math | 96.7 | — |
| Standard Benchmarks | ||
| GPQA | 86.4% | 92.3% |
| MMLU Pro | 85.9% | — |
| HLE | 24.9% | 38.1% |
| LiveCodeBench | 89.4% | — |
| AIME 2025 | 96.7% | — |
| SciCode | 46.2% | 48.8% |
| LCR | 63.3% | 69.0% |
| IFBench | 65.2% | 80.5% |
| TAU-bench v2 | 74.3% | 94.7% |
| TerminalBench Hard | 43.2% | 50.8% |
Key Takeaways
GPT-5.2 (medium) offers the best value at $1.75/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.2 (medium) has the strongest reasoning profile with a 70.3 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-5.2 (medium)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen3.7 Max
- Code generation
- Software development