Model Comparison
Qwen3.7 Max
vs. Ring-1T
Comparing 2 AI models · 10 benchmarks · Alibaba, InclusionAI
Recommended Pick
Al Qwen3.7 Max 11 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Ring-1T
$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
Ring-1T is ∞x cheaper on input tokens than Qwen3.7 Max.
Reasoning gap
Qwen3.7 Max leads Ring-1T by 4.5 points on reasoning.
Coding gap
Qwen3.7 Max leads Ring-1T by 33.3 points on coding.
Top-pick rationale
Qwen3.7 Max wins 11 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.
Qwen3.7 Max
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Ring-1T
InclusionAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Al Qwen3.7 Max | In Ring-1T |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.50/1M | $0.00/1M |
| Output Cost | $7.50/1M | $0.00/1M |
| Blended (3:1) | $3.75/1M | — |
| Specifications | ||
| Organization | Alibaba | InclusionAI |
| Release Date | May 19, 2026 | Oct 13, 2025 |
| Performance & Speed | ||
| Throughput | 172.3 tok/s | — |
| TTFT | 1638ms | — |
| Latency | 15619ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 62.3 | 57.8 |
| Intelligence | 56.6 | 22.8 |
| Coding | 50.1 | 16.8 |
| Math | — | 89.3 |
| Standard Benchmarks | ||
| GPQA | 92.3% | 77.4% |
| MMLU Pro | — | 80.6% |
| HLE | 38.1% | 10.2% |
| LiveCodeBench | — | 64.3% |
| AIME 2025 | — | 89.3% |
| SciCode | 48.8% | 36.7% |
| LCR | 69.0% | 45.7% |
| IFBench | 80.5% | 44.6% |
| TAU-bench v2 | 94.7% | 26.3% |
| TerminalBench Hard | 50.8% | 6.8% |
Key Takeaways
Ring-1T 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
Qwen3.7 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Ring-1T
- Cost-sensitive applications
- High-volume processing
