Model Comparison
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
vs. Qwen3.7 Max
Comparing 2 AI models · 7 benchmarks · Anthropic, Alibaba
Recommended Pick
An Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) 9 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
Qwen3.7 Max
100.0 value score
62.3 reasoning / $3.75/1M
Lowest Price
Qwen3.7 Max
$2.50/1M input price
Best Reasoning
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
70.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
62.0 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
Qwen3.7 Max has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.7 Max is 4.0x cheaper on input tokens than Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback).
Speed gap
Qwen3.7 Max generates about 2.6x as many tokens per second as Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback).
Reasoning gap
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) leads Qwen3.7 Max by 7.9 points on reasoning.
Coding gap
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) leads Qwen3.7 Max by 11.9 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 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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Qwen3.7 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?
Full Comparison
| Metric | Top Pick An Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) | Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $10.00/1M | $2.50/1M |
| Output Cost | $50.00/1M | $7.50/1M |
| Blended (3:1) | $20.00/1M | $3.75/1M |
| Specifications | ||
| Organization | Anthropic | Alibaba |
| Release Date | Jun 9, 2026 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | 71.6 tok/s | 188.1 tok/s |
| TTFT | 66725ms | 1602ms |
| Latency | 66725ms | 14406ms |
| Composite Indices | ||
| Value Score | 21.1 | 100.0 |
| Reasoning Score | 70.3 | 62.3 |
| Intelligence | 64.9 | 56.6 |
| Coding | 62.0 | 50.1 |
| Standard Benchmarks | ||
| GPQA | 92.6% | 92.3% |
| HLE | 53.3% | 38.1% |
| SciCode | 60.2% | 48.8% |
| LCR | 70.0% | 69.0% |
| IFBench | 63.5% | 80.5% |
| TAU-bench v2 | 98.5% | 94.7% |
| TerminalBench Hard | 62.9% | 50.8% |
Key Takeaways
Qwen3.7 Max offers the best value at $2.50/1M, making it ideal for high-volume applications and cost-conscious projects.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) has the strongest reasoning profile with a 70.3 reasoning score, combining the available reasoning-heavy benchmarks.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) reaches a 62.0 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 Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3.7 Max
- Cost-sensitive applications
- High-volume processing
