Model Comparison
Qwen3 VL 235B A22B Instruct
vs. Ring-2.6-1T
Comparing 2 AI models · 10 benchmarks · Alibaba, InclusionAI
Recommended Pick
In Ring-2.6-1T 10 metric wins Strongest on: Throughput, Intelligence, Coding
Best Value
Qwen3 VL 235B A22B Instruct
100.0 value score
47.9 reasoning / $0.70/1M
Lowest Price
Qwen3 VL 235B A22B Instruct
$0.30/1M input price
Best Reasoning
Qwen3 VL 235B A22B Instruct
47.9 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
Qwen3 VL 235B A22B Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Speed gap
Ring-2.6-1T generates about 2.5x as many tokens per second as Qwen3 VL 235B A22B Instruct.
Reasoning gap
Qwen3 VL 235B A22B Instruct leads Ring-2.6-1T by 0.4 points on reasoning.
Coding gap
Ring-2.6-1T leads Qwen3 VL 235B A22B Instruct by 16.8 points on coding.
Top-pick rationale
Ring-2.6-1T wins 10 measurable categories, including Throughput, Intelligence, Coding, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 235B A22B Instruct
Alibaba
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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Ring-2.6-1T
InclusionAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al Qwen3 VL 235B A22B Instruct | Top Pick In Ring-2.6-1T |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.30/1M | $0.30/1M |
| Output Cost | $1.90/1M | $2.50/1M |
| Blended (3:1) | $0.70/1M | $0.85/1M |
| Specifications | ||
| Organization | Alibaba | InclusionAI |
| Release Date | Sep 23, 2025 | May 8, 2026 |
| Performance & Speed | ||
| Throughput | 53.5 tok/s | 132.8 tok/s |
| TTFT | 1090ms | 1811ms |
| Latency | 1090ms | 16866ms |
| Composite Indices | ||
| Value Score | 100.0 | 81.6 |
| Reasoning Score | 47.9 | 47.5 |
| Intelligence | 20.8 | 38.5 |
| Coding | 16.5 | 33.3 |
| Math | 70.7 | — |
| Standard Benchmarks | ||
| GPQA | 71.2% | 85.7% |
| MMLU Pro | 82.3% | — |
| HLE | 6.3% | 18.3% |
| LiveCodeBench | 59.4% | — |
| AIME 2025 | 70.7% | — |
| SciCode | 35.9% | 42.4% |
| LCR | 31.7% | 64.3% |
| IFBench | 42.7% | 44.6% |
| TAU-bench v2 | 35.1% | 92.4% |
| TerminalBench Hard | 6.8% | 28.8% |
Key Takeaways
Qwen3 VL 235B A22B Instruct offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 235B A22B Instruct has the strongest reasoning profile with a 47.9 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 235B A22B Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Ring-2.6-1T
- Code generation
- Software development
