Model Comparison
Qwen3 Max (Preview)
vs. Ring-flash-2.0
Comparing 2 AI models · 10 benchmarks · Alibaba, InclusionAI
Recommended Pick
Al Qwen3 Max (Preview) 12 metric wins Strongest on: Throughput, Intelligence, Coding
Best Value
Ring-flash-2.0
100.0 value score
52.6 reasoning / $0.25/1M
Lowest Price
Ring-flash-2.0
$0.14/1M input price
Best Reasoning
Ring-flash-2.0
52.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 Max (Preview)
25.5 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-flash-2.0 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Ring-flash-2.0 is 8.6x cheaper on input tokens than Qwen3 Max (Preview).
Reasoning gap
Ring-flash-2.0 leads Qwen3 Max (Preview) by 0.2 points on reasoning.
Coding gap
Qwen3 Max (Preview) leads Ring-flash-2.0 by 14.9 points on coding.
Top-pick rationale
Qwen3 Max (Preview) wins 12 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 Max (Preview)
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-flash-2.0
InclusionAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick Al Qwen3 Max (Preview) | In Ring-flash-2.0 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.20/1M | $0.14/1M |
| Output Cost | $6.00/1M | $0.57/1M |
| Blended (3:1) | $2.40/1M | $0.25/1M |
| Specifications | ||
| Organization | Alibaba | InclusionAI |
| Release Date | Sep 5, 2025 | Sep 19, 2025 |
| Performance & Speed | ||
| Throughput | 60.2 tok/s | — |
| TTFT | 1739ms | — |
| Latency | 1739ms | — |
| Composite Indices | ||
| Value Score | 10.3 | 100.0 |
| Reasoning Score | 52.4 | 52.6 |
| Intelligence | 26.1 | 14.0 |
| Coding | 25.5 | 10.6 |
| Math | 75.0 | 83.7 |
| Standard Benchmarks | ||
| GPQA | 76.4% | 72.5% |
| MMLU Pro | 83.8% | 79.3% |
| HLE | 9.3% | 8.9% |
| LiveCodeBench | 65.1% | 62.8% |
| AIME 2025 | 75.0% | 83.7% |
| SciCode | 37.0% | 16.8% |
| LCR | 39.7% | 21.0% |
| IFBench | 48.0% | 43.3% |
| TAU-bench v2 | 32.7% | 0.0% |
| TerminalBench Hard | 19.7% | 7.6% |
Key Takeaways
Ring-flash-2.0 offers the best value at $0.14/1M, making it ideal for high-volume applications and cost-conscious projects.
Ring-flash-2.0 has the strongest reasoning profile with a 52.6 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 Max (Preview) reaches a 25.5 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 (Preview)
- Code generation
- Software development
Ring-flash-2.0
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
