Model Comparison
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
vs. Qwen3.8 Max
Comparing 2 AI models · 4 benchmarks · Anthropic, Alibaba
Recommended Pick
AnClaude Opus 5 (Adaptive Reasoning, Xhigh Effort)8 metric winsStrongest on: Latency, Reasoning, Intelligence
Best Value
Qwen3.8 Max
100.0 value score
64.6 reasoning / $3.00/1M
Lowest Price
Qwen3.8 Max
$2.00/1M input price
Best Reasoning
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
70.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
77.0 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
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, Xhigh Effort).
Speed gap
Qwen3.8 Max generates about 1.2x as many tokens per second as Claude Opus 5 (Adaptive Reasoning, Xhigh Effort).
Reasoning gap
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) leads Qwen3.8 Max by 5.6 points on reasoning.
Coding gap
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) leads Qwen3.8 Max by 5.2 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Claude Opus 5 (Adaptive Reasoning, Xhigh 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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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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Which answer was more useful?
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Full Comparison
| Metric | Top Pick An Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) | Al Qwen3.8 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $5.00/1M | $2.00/1M |
| Output Cost | $25.00/1M | $6.00/1M |
| Blended (3:1) | $10.00/1M | $3.00/1M |
| Specifications | ||
| Organization | Anthropic | Alibaba |
| Release Date | Jul 24, 2026 | Aug 3, 2026 |
| Performance & Speed | ||
| Throughput | 53.5 tok/s | 66.5 tok/s |
| TTFT | 18386ms | 1911ms |
| Latency | 18386ms | 31992ms |
| Composite Indices | ||
| Value Score | 32.6 | 100.0 |
| Reasoning Score | 70.2 | 64.6 |
| Intelligence | 62.5 | 58.1 |
| Coding | 77.0 | 71.8 |
| Standard Benchmarks | ||
| GPQA | 93.7% | 92.7% |
| HLE | 54.4% | 43.0% |
| SciCode | 55.0% | 52.9% |
| LCR | 76.3% | 74.3% |
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, Xhigh Effort) has the strongest reasoning profile with a 70.2 reasoning score,combining the available reasoning-heavy benchmarks.
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) reaches a 77.0 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
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3.8 Max
- Cost-sensitive applications
- High-volume processing
