AI Model Comparison

Gemma 4 12B vs Claude Fable 5

Compare Gemma 4 12B (Non-reasoning) vs Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) with benchmark results, speed, pricing, and practical workflow guidance.

Best For Gemma 4 12B (Non-reasoning)

  • Zero-cost applications
  • Lightweight, simple tasks
  • Budget-constrained environments

Best For Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)

  • Complex reasoning workflows
  • Advanced coding projects
  • High-stakes technical analysis

Gemma 4 12B offers a free, lightweight solution for basic tasks, while Claude Fable 5 provides high-performance, adaptive reasoning capabilities for complex professional workflows at a premium price point.

Quick Take

Released in June 2026, these two models represent vastly different segments of the AI market. Google’s Gemma 4 12B is a non-reasoning, lightweight model focused on accessibility, while Anthropic’s Claude Fable 5 is a high-effort, adaptive reasoning powerhouse designed for complex problem-solving.

Benchmark Read

Claude Fable 5 consistently outperforms Gemma 4 12B across all measured benchmarks.

  • Intelligence & Coding: Claude Fable 5 leads with an Intelligence index of 64.9 and a Coding index of 62, compared to Gemma 4 12B’s 19.5 and 17.5, respectively.
  • Reasoning & Logic: In GPQA, Claude scores 0.926 against Gemma’s 0.661. The gap widens significantly in specialized benchmarks like TAU2, where Claude achieves 0.985 compared to Gemma’s 0.318.
  • Instruction Following: Claude Fable 5 demonstrates superior adherence to prompts with an IFBench score of 0.634, outperforming Gemma’s 0.451.

Cost and Speed

Gemma 4 12B is entirely free to use, with input and output costs at $0.00/1M tokens. In contrast, Claude Fable 5 is a premium tool, costing $12.50/1M input tokens and $50.00/1M output tokens, resulting in a blended cost of $21.88/1M tokens.

Regarding performance, Claude Fable 5 operates at an output speed of 62.827 tok/s, though it requires a time-to-first-token of 55.198s. Performance metrics for Gemma 4 12B remain unknown.

Best Fit

Gemma 4 12B is best suited for developers or hobbyists looking for a cost-effective, lightweight model for basic tasks. Claude Fable 5 is designed for enterprise users, researchers, and engineers who require high-level reasoning, advanced coding assistance, and reliable performance on complex technical benchmarks.

Benchmark table

Side-by-side scores, speed, and pricing for the selected models.

Metric Google Gemma 4 12B (Non-reasoning) Anthropic Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
Index Scores
Intelligence Index 19.5 64.9
Coding Index 17.5 62.0
Math Index--
Benchmark Scores
GPQA 66.1 92.6
SciCode 29.7 60.2
IFBench 45.2 63.5
HLE 6.2 53.3
LCR 30.7 70.0
TAU2 31.9 98.5
TerminalBench Hard 11.4 62.9

Verdict

Choose Gemma 4 12B if you require a zero-cost model for simple, non-intensive tasks where budget is the primary constraint. However, for professional-grade coding, complex reasoning, and high-stakes benchmarks, Claude Fable 5 is the superior choice. Despite the significantly higher cost, its performance metrics and adaptive reasoning capabilities make it the clear winner for demanding technical applications.

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