Model Comparison
Gemini 2.5 Pro
vs. Claude Fable 5.2 (Max, Default Fallback)
Gemini 2.5 Pro has not been available at LLMBase since 26 October 2026. Open alternative: DeepSeek V4 Pro →
Comparing 2 AI models · 0 benchmarks · Google, Anthropic
Recommended Pick
GoGemini 2.5 Pro6 metric winsStrongest on: Input price, Output price, Blended price
Lowest Price
Gemini 2.5 Pro
$1.25/1M input price
Differences That Matter
Price gap
Gemini 2.5 Pro is 6.4x cheaper on input tokens than Claude Fable 5.2 (Max, Default Fallback).
Speed gap
Gemini 2.5 Pro generates about 1.2x as many tokens per second as Claude Fable 5.2 (Max, Default Fallback).
Top-pick rationale
Gemini 2.5 Pro wins 6 measurable categories, including Input price, Output price, Blended price, Throughput.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 2.5 Pro
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 Fable 5.2 (Max, 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?
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Full Comparison
| Metric | Top Pick Go Gemini 2.5 Pro | An Claude Fable 5.2 (Max, Default Fallback) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $8.00/1M |
| Output Cost | $10.00/1M | $40.00/1M |
| Blended (3:1) | $3.44/1M | $16.00/1M |
| Specifications | ||
| Organization | Anthropic | |
| Release Date | Jun 5, 2025 | Nov 9, 2026 |
| Performance & Speed | ||
| Throughput | 113.7 tok/s | 91.8 tok/s |
| TTFT | 20420ms | 196530ms |
| Latency | 20420ms | 196530ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 64.6 |
| Intelligence | — | 64.6 |
Key Takeaways
Gemini 2.5 Pro offers the best value at $1.25/1M,making it ideal for high-volume applications and cost-conscious projects.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Gemini 2.5 Pro
- Cost-sensitive applications
- High-volume processing
Claude Fable 5.2 (Max, Default Fallback)
- General-purpose AI
- Versatile applications
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