Model Comparison
Qwen3 Max
vs. Ring-flash-2.0
Comparing 2 AI models · 10 benchmarks · Alibaba, InclusionAI
Recommended Pick
Al Qwen3 Max 13 metric wins Strongest on: Throughput, Reasoning, Intelligence
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
Qwen3 Max
56.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 Max
26.4 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 11.8x cheaper on input tokens than Qwen3 Max.
Reasoning gap
Qwen3 Max leads Ring-flash-2.0 by 3.5 points on reasoning.
Coding gap
Qwen3 Max leads Ring-flash-2.0 by 15.8 points on coding.
Top-pick rationale
Qwen3 Max wins 13 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 Max
Alibaba
TTFT
—
Time
—
tok/s
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Tokens
—
Cost
—
Ring-flash-2.0
InclusionAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Al Qwen3 Max | In Ring-flash-2.0 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.66/1M | $0.14/1M |
| Output Cost | $7.22/1M | $0.57/1M |
| Blended (3:1) | $3.05/1M | $0.25/1M |
| Specifications | ||
| Organization | Alibaba | InclusionAI |
| Release Date | Sep 23, 2025 | Sep 19, 2025 |
| Performance & Speed | ||
| Throughput | 57.0 tok/s | — |
| TTFT | 1940ms | — |
| Latency | 1940ms | — |
| Composite Indices | ||
| Value Score | 8.7 | 100.0 |
| Reasoning Score | 56.1 | 52.6 |
| Intelligence | 31.4 | 14.0 |
| Coding | 26.4 | 10.6 |
| Math | 80.7 | 83.7 |
| Standard Benchmarks | ||
| GPQA | 76.4% | 72.5% |
| MMLU Pro | 84.1% | 79.3% |
| HLE | 11.1% | 8.9% |
| LiveCodeBench | 76.7% | 62.8% |
| AIME 2025 | 80.7% | 83.7% |
| SciCode | 38.3% | 16.8% |
| LCR | 46.7% | 21.0% |
| IFBench | 44.1% | 43.3% |
| TAU-bench v2 | 74.3% | 0.0% |
| TerminalBench Hard | 20.5% | 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.
Qwen3 Max has the strongest reasoning profile with a 56.1 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 Max reaches a 26.4 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
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Ring-flash-2.0
- Cost-sensitive applications
- High-volume processing
