Model Comparison
Qwen3.6 27B (Non-reasoning)
vs. Qwen3 Coder Next
Comparing 2 AI models · 0 benchmarks · Alibaba
Recommended Pick
AlQwen3 Coder Next6 metric winsStrongest on: Input price, Output price, Blended price
Lowest Price
Qwen3 Coder Next
$0.31/1M input price
Differences That Matter
Price gap
Qwen3 Coder Next is 1.9x cheaper on input tokens than Qwen3.6 27B (Non-reasoning).
Speed gap
Qwen3 Coder Next generates about 1.7x as many tokens per second as Qwen3.6 27B (Non-reasoning).
Top-pick rationale
Qwen3 Coder 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 (Non-reasoning)
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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Qwen3 Coder Next
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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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 (Non-reasoning) | Top Pick Al Qwen3 Coder Next |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.31/1M |
| Output Cost | $3.60/1M | $1.00/1M |
| Blended (3:1) | $1.35/1M | $0.48/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 22, 2026 | Feb 3, 2026 |
| Performance & Speed | ||
| Throughput | 56.6 tok/s | 94.5 tok/s |
| TTFT | 3580ms | 880ms |
| Latency | 3580ms | 880ms |
Key Takeaways
Qwen3 Coder Next offers the best value at $0.31/1M,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 (Non-reasoning)
- General-purpose AI
- Versatile applications
Qwen3 Coder Next
- Cost-sensitive applications
- High-volume processing
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