Model Comparison
Qwen3.6 27B (Reasoning)
vs. Qwen3.8-Flash-Next
Comparing 2 AI models · 0 benchmarks · Alibaba
Recommended Pick
Strongest on: Input price, Output price, Blended price
Lowest Price
Qwen3.8-Flash-Next
$0.15/1M input price
Differences That Matter
Price gap
Qwen3.8-Flash-Next is 4.0x cheaper on input tokens than Qwen3.6 27B (Reasoning).
Speed gap
Qwen3.8-Flash-Next generates about 1.2x as many tokens per second as Qwen3.6 27B (Reasoning).
Top-pick rationale
Qwen3.8-Flash-Next 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.
Qwen3.6 27B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.8-Flash-Next
Alibaba
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 Qwen3.6 27B (Reasoning) | Top Pick Al Qwen3.8-Flash-Next |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.15/1M |
| Output Cost | $3.60/1M | $0.47/1M |
| Blended (3:1) | $1.35/1M | $0.23/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 22, 2026 | Aug 26, 2026 |
| Performance & Speed | ||
| Throughput | 57.0 tok/s | 69.7 tok/s |
| TTFT | 3510ms | 1960ms |
| Latency | 103190ms | 30670ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 28.6 |
| Intelligence | — | 28.6 |
Key Takeaways
Qwen3.8-Flash-Next offers the best value at $0.15/1M,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
Qwen3.6 27B (Reasoning)
- General-purpose AI
- Versatile applications
Qwen3.8-Flash-Next
- Cost-sensitive applications
- High-volume processing