Model Comparison
Qwen3.8-Flash-Next
vs. Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
Comparing 2 AI models · 0 benchmarks · Alibaba, Anthropic
Recommended Pick
AlQwen3.8-Flash-Next4 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.8-Flash-Next
100.0 value score
39.8 reasoning / $0.23/1M
Lowest Price
Qwen3.8-Flash-Next
$0.15/1M input price
Best Reasoning
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
57.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.8-Flash-Next
73.1 coding index
Differences That Matter
Best value
Qwen3.8-Flash-Next has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.8-Flash-Next is 26.7x cheaper on input tokens than Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback).
Reasoning gap
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) leads Qwen3.8-Flash-Next by 17.8 points on reasoning.
Top-pick rationale
Qwen3.8-Flash-Next wins 4 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8-Flash-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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Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
Anthropic
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
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick Al Qwen3.8-Flash-Next | An Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $4.00/1M |
| Output Cost | $0.47/1M | $20.00/1M |
| Blended (3:1) | $0.23/1M | $8.00/1M |
| Specifications | ||
| Organization | Alibaba | Anthropic |
| Release Date | Aug 26, 2026 | Sep 22, 2026 |
| Performance & Speed | ||
| Throughput | 54.1 tok/s | — |
| TTFT | 2710ms | — |
| Latency | 39700ms | — |
| Composite Indices | ||
| Value Score | 100.0 | 4.2 |
| Reasoning Score | 39.8 | 57.6 |
| Intelligence | 39.8 | 57.6 |
| Coding | 73.1 | — |
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.
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) has the strongest reasoning profile with a 57.6 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.8-Flash-Next reaches a 73.1 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
Qwen3.8-Flash-Next
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
- Complex reasoning tasks
- Research & analysis
