Model Comparison

Step 5 Preview
vs. Claude Fable 5.2 (Max, Default Fallback)

Comparing 2 AI models · 0 benchmarks · StepFun, Anthropic

Recommended Pick

Step 5 Preview7 metric wins

Strongest on: Value, Input price, Output price

Best Value

Step 5 Preview

100.0 value score

28.5 reasoning / $1.43/1M

Lowest Price

Step 5 Preview

$1.00/1M input price

Best Reasoning

Claude Fable 5.2 (Max, Default Fallback)

64.6 reasoning score

Blends available reasoning benchmarks

Differences That Matter

Best value

Step 5 Preview has the strongest quality-to-price mix at 100.0 out of 100 value points.

Price gap

Step 5 Preview is 8.0x cheaper on input tokens than Claude Fable 5.2 (Max, Default Fallback).

Speed gap

Step 5 Preview generates about 1.7x as many tokens per second as Claude Fable 5.2 (Max, Default Fallback).

Reasoning gap

Claude Fable 5.2 (Max, Default Fallback) leads Step 5 Preview by 36.1 points on reasoning.

Top-pick rationale

Step 5 Preview wins 7 measurable categories, including Value, Input price, Output price, Blended price.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

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Step 5 Preview

StepFun

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Claude Fable 5.2 (Max, Default Fallback)

Anthropic

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Full Comparison

Metric	Top Pick St Step 5 Preview StepFun	An Claude Fable 5.2 (Max, Default Fallback) Anthropic
Pricing per 1M tokens
Input Cost	$1.00/1M	$8.00/1M
Output Cost	$2.70/1M	$40.00/1M
Blended (3:1)	$1.43/1M	$16.00/1M
Specifications
Organization	StepFun	Anthropic
Release Date	Sep 18, 2026	Nov 9, 2026
Performance & Speed
Throughput	161.2 tok/s	94.7 tok/s
TTFT	880ms	253380ms
Latency	13280ms	253380ms
Composite Indices
Value Score	100.0	20.2
Reasoning Score	28.5	64.6
Intelligence	28.5	64.6

Key Takeaways

Step 5 Preview offers the best value at $1.00/1M,making it ideal for high-volume applications and cost-conscious projects.

Claude Fable 5.2 (Max, Default Fallback) has the strongest reasoning profile with a 64.6 reasoning score,combining the available reasoning-heavy benchmarks.

All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.