Model Comparison
Qwen3 VL 32B Instruct
vs. Ring-2.6-1T
Comparing 2 AI models · 10 benchmarks · Alibaba, InclusionAI
Recommended Pick
In Ring-2.6-1T 15 metric wins Strongest on: Value, Input price, Output price
Best Value
Ring-2.6-1T
100.0 value score
47.5 reasoning / $0.85/1M
Lowest Price
Ring-2.6-1T
$0.30/1M input price
Best Reasoning
Ring-2.6-1T
47.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Ring-2.6-1T
33.3 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
Ring-2.6-1T has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Ring-2.6-1T is 2.3x cheaper on input tokens than Qwen3 VL 32B Instruct.
Speed gap
Ring-2.6-1T generates about 1.6x as many tokens per second as Qwen3 VL 32B Instruct.
Reasoning gap
Ring-2.6-1T leads Qwen3 VL 32B Instruct by 2.1 points on reasoning.
Coding gap
Ring-2.6-1T leads Qwen3 VL 32B Instruct by 17.7 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 32B Instruct
Alibaba
TTFT
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Time
—
tok/s
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Tokens
—
Cost
—
Ring-2.6-1T
InclusionAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al Qwen3 VL 32B Instruct | Top Pick In Ring-2.6-1T |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.30/1M |
| Output Cost | $2.80/1M | $2.50/1M |
| Blended (3:1) | $1.22/1M | $0.85/1M |
| Specifications | ||
| Organization | Alibaba | InclusionAI |
| Release Date | Oct 21, 2025 | May 8, 2026 |
| Performance & Speed | ||
| Throughput | 76.1 tok/s | 120.4 tok/s |
| TTFT | 1189ms | 1848ms |
| Latency | 1189ms | 18465ms |
| Composite Indices | ||
| Value Score | 66.4 | 100.0 |
| Reasoning Score | 45.4 | 47.5 |
| Intelligence | 17.2 | 38.5 |
| Coding | 15.6 | 33.3 |
| Math | 68.3 | — |
| Standard Benchmarks | ||
| GPQA | 67.1% | 85.7% |
| MMLU Pro | 79.1% | — |
| HLE | 6.3% | 18.3% |
| LiveCodeBench | 51.4% | — |
| AIME 2025 | 68.3% | — |
| SciCode | 30.1% | 42.4% |
| LCR | 31.3% | 64.3% |
| IFBench | 39.2% | 44.6% |
| TAU-bench v2 | 29.2% | 92.4% |
| TerminalBench Hard | 8.3% | 28.8% |
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.
Ring-2.6-1T has the strongest reasoning profile with a 47.5 reasoning score, combining the available reasoning-heavy benchmarks.
Ring-2.6-1T reaches a 33.3 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 VL 32B Instruct
- General-purpose AI
- Versatile applications
Ring-2.6-1T
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
