Model Comparison
Qwen3 Max
vs. Solar Mini
Comparing 2 AI models · 0 benchmarks · Alibaba, Upstage
Recommended Pick
AlQwen3 Max3 metric winsStrongest on: Value, Reasoning, Intelligence
Best Value
Qwen3 Max
100.0 value score
17.6 reasoning / $2.40/1M
Lowest Price
Solar Mini
$0.15/1M input price
Best Reasoning
Qwen3 Max
17.6 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Best value
Qwen3 Max has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Solar Mini is 8.0x cheaper on input tokens than Qwen3 Max.
Reasoning gap
Qwen3 Max leads Solar Mini by 16.6 points on reasoning.
Top-pick rationale
Qwen3 Max wins 3 measurable categories, including Value, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 Max
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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Solar Mini
Upstage
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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Which answer was more useful?
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OpenAI-compatible inference
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Full Comparison
| Metric | Top Pick Al Qwen3 Max | Up Solar Mini |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.20/1M | $0.15/1M |
| Output Cost | $6.00/1M | $0.15/1M |
| Blended (3:1) | $2.40/1M | $0.15/1M |
| Specifications | ||
| Organization | Alibaba | Upstage |
| Release Date | Sep 23, 2025 | Jan 25, 2024 |
| Performance & Speed | ||
| Throughput | 47.6 tok/s | — |
| TTFT | 2360ms | — |
| Latency | 2360ms | — |
| Composite Indices | ||
| Value Score | 100.0 | 90.9 |
| Reasoning Score | 17.6 | 1.0 |
| Intelligence | 17.6 | 1.0 |
Key Takeaways
Solar Mini offers the best value at $0.15/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 Max has the strongest reasoning profile with a 17.6 reasoning score,combining the available reasoning-heavy benchmarks.
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
Solar Mini
- Cost-sensitive applications
- High-volume processing
