Model Comparison
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
vs. V3.1 Terminus (Non-reasoning)
Comparing 2 AI models · 10 benchmarks · Anthropic, DeepSeek
Recommended Pick
An Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) 11 metric wins Strongest on: Throughput, Reasoning, Intelligence
Best Value
V3.1 Terminus (Non-reasoning)
100.0 value score
43.9 reasoning / $0.45/1M
Lowest Price
V3.1 Terminus (Non-reasoning)
$0.27/1M 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
V3.1 Terminus (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
V3.1 Terminus (Non-reasoning) is 37x cheaper on input tokens than 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 V3.1 Terminus (Non-reasoning) by 26.4 points on reasoning.
Coding gap
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) leads V3.1 Terminus (Non-reasoning) by 30.1 points on coding.
Top-pick rationale
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) wins 11 measurable categories, including Throughput, Reasoning, Intelligence, 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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V3.1 Terminus (Non-reasoning)
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick An Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) | De V3.1 Terminus (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $10.00/1M | $0.27/1M |
| Output Cost | $50.00/1M | $1.00/1M |
| Blended (3:1) | $20.00/1M | $0.45/1M |
| Specifications | ||
| Organization | Anthropic | DeepSeek |
| Release Date | Jun 9, 2026 | Sep 22, 2025 |
| Performance & Speed | ||
| Throughput | 71.6 tok/s | — |
| TTFT | 66725ms | — |
| Latency | 66725ms | — |
| Composite Indices | ||
| Value Score | 3.6 | 100.0 |
| Reasoning Score | 70.3 | 43.9 |
| Intelligence | 64.9 | 28.5 |
| Coding | 62.0 | 31.9 |
| Math | — | 53.7 |
| Standard Benchmarks | ||
| GPQA | 92.6% | 75.1% |
| MMLU Pro | — | 83.6% |
| HLE | 53.3% | 8.4% |
| LiveCodeBench | — | 52.9% |
| AIME 2025 | — | 53.7% |
| SciCode | 60.2% | 32.1% |
| LCR | 70.0% | 43.3% |
| IFBench | 63.5% | 41.2% |
| TAU-bench v2 | 98.5% | 37.1% |
| TerminalBench Hard | 62.9% | 31.8% |
Key Takeaways
V3.1 Terminus (Non-reasoning) offers the best value at $0.27/1M, 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
V3.1 Terminus (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
