Model Comparison
Qwen3.8 Max
vs. Ring-2.6-1T
Comparing 2 AI models · 0 benchmarks · Alibaba, InclusionAI
Recommended Pick
Strongest on: Input price, Output price, Blended price
Lowest Price
Ring-2.6-1T
$0.30/1M input price
Differences That Matter
Price gap
Ring-2.6-1T is 6.7x cheaper on input tokens than Qwen3.8 Max.
Speed gap
Ring-2.6-1T generates about 2.8x as many tokens per second as Qwen3.8 Max.
Top-pick rationale
Ring-2.6-1T wins 6 measurable categories, including Input price, 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.
Qwen3.8 Max
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Ring-2.6-1T
InclusionAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3.8 Max | Top Pick In Ring-2.6-1T |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.30/1M |
| Output Cost | $6.00/1M | $2.50/1M |
| Blended (3:1) | $3.00/1M | $0.85/1M |
| Specifications | ||
| Organization | Alibaba | InclusionAI |
| Release Date | Aug 3, 2026 | May 8, 2026 |
| Performance & Speed | ||
| Throughput | 40.3 tok/s | 114.5 tok/s |
| TTFT | 2830ms | 2770ms |
| Latency | 52490ms | 20230ms |
Key Takeaways
Ring-2.6-1T offers the best value at $0.30/1M,making it ideal for high-volume applications and cost-conscious projects.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.8 Max
- General-purpose AI
- Versatile applications
Ring-2.6-1T
- Cost-sensitive applications
- High-volume processing
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