Model Comparison
Qwen3 Max Thinking
vs. Ring-1T
Comparing 2 AI models · 10 benchmarks · Alibaba, InclusionAI
Recommended Pick
Al Qwen3 Max Thinking 9 metric wins Strongest on: Intelligence, Coding, GPQA
Lowest Price
Ring-1T
$0.00/1M input price
Best Reasoning
Ring-1T
57.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 Max Thinking
30.5 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 Max Thinking.
Reasoning gap
Ring-1T leads Qwen3 Max Thinking by 7.1 points on reasoning.
Coding gap
Qwen3 Max Thinking leads Ring-1T by 13.7 points on coding.
Top-pick rationale
Qwen3 Max Thinking wins 9 measurable categories, including Intelligence, Coding, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 Max Thinking
Alibaba
TTFT
—
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 Max Thinking | In Ring-1T |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.20/1M | $0.00/1M |
| Output Cost | $6.00/1M | $0.00/1M |
| Blended (3:1) | $2.40/1M | — |
| Specifications | ||
| Organization | Alibaba | InclusionAI |
| Release Date | Jan 26, 2026 | Oct 13, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 50.7 | 57.8 |
| Intelligence | 39.8 | 22.8 |
| Coding | 30.5 | 16.8 |
| Math | — | 89.3 |
| Standard Benchmarks | ||
| GPQA | 86.1% | 77.4% |
| MMLU Pro | — | 80.6% |
| HLE | 26.2% | 10.2% |
| LiveCodeBench | — | 64.3% |
| AIME 2025 | — | 89.3% |
| SciCode | 43.1% | 36.7% |
| LCR | 66.0% | 45.7% |
| IFBench | 70.7% | 44.6% |
| TAU-bench v2 | 83.6% | 26.3% |
| TerminalBench Hard | 24.2% | 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.
Ring-1T has the strongest reasoning profile with a 57.8 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 Max Thinking reaches a 30.5 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
Qwen3 Max Thinking
- Code generation
- Software development
Ring-1T
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
