Model Comparison
Qwen3.8 27B (Xhigh)
vs. Solar Pro 4
Comparing 2 AI models · 0 benchmarks · Alibaba, Upstage
Recommended Pick
Strongest on: Input price, Output price, Blended price
Lowest Price
Solar Pro 4
$0.30/1M input price
Differences That Matter
Price gap
Solar Pro 4 is 1.7x cheaper on input tokens than Qwen3.8 27B (Xhigh).
Speed gap
Solar Pro 4 generates about 2.1x as many tokens per second as Qwen3.8 27B (Xhigh).
Top-pick rationale
Solar Pro 4 wins 6 measurable categories, including Input price, Output price, Blended price, Throughput.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8 27B (Xhigh)
Alibaba
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Solar Pro 4
Upstage
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Secure AI Chat made in Europe
Chat with EU-Hosted Models like Deepseek, Qwen & Kimi: open-weight, transparent, no lock-in.
EU-hosted open models, one API
Servers in Germany & Finland. Operated by a German company under the GDPR, DPA available, ISO 27001-certified data centres.
Full Comparison
| Metric | Al Qwen3.8 27B (Xhigh) | Top Pick Up Solar Pro 4 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.50/1M | $0.30/1M |
| Output Cost | $3.00/1M | $1.20/1M |
| Blended (3:1) | $1.13/1M | $0.52/1M |
| Specifications | ||
| Organization | Alibaba | Upstage |
| Release Date | Aug 14, 2026 | Aug 6, 2026 |
| Performance & Speed | ||
| Throughput | 42.9 tok/s | 90.5 tok/s |
| TTFT | 3970ms | 1900ms |
| Latency | 50650ms | 24000ms |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 20.1 | — |
| Intelligence | 20.1 | — |
Key Takeaways
Solar Pro 4 offers the best value at $0.30/1M,making it ideal for high-volume applications and cost-conscious projects.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.8 27B (Xhigh)
- General-purpose AI
- Versatile applications
Solar Pro 4
- Cost-sensitive applications
- High-volume processing