Model Comparison
Qwen3.8 Max
vs. Claude Opus 5 (Adaptive Reasoning, Max Effort)
Comparing 2 AI models · 0 benchmarks · Alibaba, Anthropic
Recommended Pick
AlQwen3.8 Max6 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.8 Max
100.0 value score
58.1 reasoning / $3.00/1M
Lowest Price
Qwen3.8 Max
$2.00/1M input price
Best Reasoning
Claude Opus 5 (Adaptive Reasoning, Max Effort)
63.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Opus 5 (Adaptive Reasoning, Max Effort)
78.0 coding index
Differences That Matter
Best value
Qwen3.8 Max has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.8 Max is 2.5x cheaper on input tokens than Claude Opus 5 (Adaptive Reasoning, Max Effort).
Speed gap
Claude Opus 5 (Adaptive Reasoning, Max Effort) generates about 1.1x as many tokens per second as Qwen3.8 Max.
Reasoning gap
Claude Opus 5 (Adaptive Reasoning, Max Effort) leads Qwen3.8 Max by 5.0 points on reasoning.
Coding gap
Claude Opus 5 (Adaptive Reasoning, Max Effort) leads Qwen3.8 Max by 6.2 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8 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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Claude Opus 5 (Adaptive Reasoning, Max Effort)
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?
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Full Comparison
| Metric | Top Pick Al Qwen3.8 Max | An Claude Opus 5 (Adaptive Reasoning, Max Effort) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $5.00/1M |
| Output Cost | $6.00/1M | $25.00/1M |
| Blended (3:1) | $3.00/1M | $10.00/1M |
| Specifications | ||
| Organization | Alibaba | Anthropic |
| Release Date | Aug 3, 2026 | Jul 24, 2026 |
| Performance & Speed | ||
| Throughput | 49.8 tok/s | 53.0 tok/s |
| TTFT | 2560ms | 59970ms |
| Latency | 42710ms | 59970ms |
| Composite Indices | ||
| Value Score | 100.0 | 32.6 |
| Reasoning Score | 58.1 | 63.1 |
| Intelligence | 58.1 | 63.1 |
| Coding | 71.8 | 78.0 |
Key Takeaways
Qwen3.8 Max offers the best value at $2.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Claude Opus 5 (Adaptive Reasoning, Max Effort) has the strongest reasoning profile with a 63.1 reasoning score,combining the available reasoning-heavy benchmarks.
Claude Opus 5 (Adaptive Reasoning, Max Effort) reaches a 78.0 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 Max
- Cost-sensitive applications
- High-volume processing
Claude Opus 5 (Adaptive Reasoning, Max Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
