Model Comparison
Gemini 1.5 Pro (Sep '24)
vs. Qwen3.7 Max
Comparing 2 AI models · 11 benchmarks · Google, Alibaba
Recommended Pick
Al Qwen3.7 Max 7 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemini 1.5 Pro (Sep '24)
$0.00/1M 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
Price gap
Gemini 1.5 Pro (Sep '24) is ∞x cheaper on input tokens than Qwen3.7 Max.
Reasoning gap
Qwen3.7 Max leads Gemini 1.5 Pro (Sep '24) by 24.3 points on reasoning.
Coding gap
Qwen3.7 Max leads Gemini 1.5 Pro (Sep '24) by 26.5 points on coding.
Top-pick rationale
Qwen3.7 Max wins 7 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 1.5 Pro (Sep '24)
TTFT
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Time
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tok/s
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Tokens
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Cost
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Qwen3.7 Max
Alibaba
TTFT
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Time
—
tok/s
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Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | Go Gemini 1.5 Pro (Sep '24) | Top Pick Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $2.50/1M |
| Output Cost | $0.00/1M | $7.50/1M |
| Blended (3:1) | — | $3.75/1M |
| Specifications | ||
| Organization | Alibaba | |
| Release Date | Sep 24, 2024 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | — | 146.5 tok/s |
| TTFT | — | 1532ms |
| Latency | — | 17978ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 38.1 | 62.3 |
| Intelligence | 16.0 | 56.6 |
| Coding | 23.6 | 50.1 |
| Standard Benchmarks | ||
| GPQA | 58.9% | 92.3% |
| MMLU Pro | 75.0% | — |
| HLE | 4.9% | 38.1% |
| LiveCodeBench | 31.6% | — |
| MATH 500 | 87.6% | — |
| AIME (Original) | 23.0% | — |
| SciCode | 29.5% | 48.8% |
| LCR | — | 69.0% |
| IFBench | — | 80.5% |
| TAU-bench v2 | — | 94.7% |
| TerminalBench Hard | — | 50.8% |
Key Takeaways
Gemini 1.5 Pro (Sep '24) offers the best value at $0.00/1M, 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
Gemini 1.5 Pro (Sep '24)
- Cost-sensitive applications
- High-volume processing
Qwen3.7 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
