AI Model Comparison

Gemma 4 12B vs Claude Opus 4.8

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

Best For Gemma 4 12B (Reasoning)

  • Zero-cost development
  • Instruction-following tasks
  • Budget-constrained prototyping

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

  • Complex reasoning tasks
  • Advanced coding projects
  • High-stakes performance needs

Claude Opus 4.8 significantly outperforms Gemma 4 12B across intelligence, coding, and benchmark metrics. While Gemma 4 12B offers a free-to-use model, Claude Opus 4.8 provides superior reasoning capabilities for users requiring high-performance, complex task execution.

Quick Take

This comparison examines the Gemma 4 12B (Reasoning) by Google and the Claude Opus 4.8 (Adaptive Reasoning, Max Effort) by Anthropic. Released within a week of each other in late May and early June 2026, these models represent different tiers of the current AI landscape. Claude Opus 4.8 positions itself as a high-performance powerhouse, while Gemma 4 12B offers a cost-effective, accessible alternative.

Benchmark Read

Claude Opus 4.8 demonstrates a significant lead in intelligence and technical proficiency. With an Intelligence index of 61.4 and a Coding index of 56.7, it far surpasses Gemma 4 12B, which records indices of 29 and 24.9, respectively.

Benchmark performance reflects this gap:

  • GPQA: Claude Opus 4.8 (0.92) vs. Gemma 4 12B (0.753)
  • HLE: Claude Opus 4.8 (0.457) vs. Gemma 4 12B (0.146)
  • SciCode: Claude Opus 4.8 (0.535) vs. Gemma 4 12B (0.382)
  • TerminalBench Hard: Claude Opus 4.8 (0.583) vs. Gemma 4 12B (0.182)
  • TAU2: Claude Opus 4.8 (0.944) vs. Gemma 4 12B (0.348)

Gemma 4 12B does show competitive results in IFBench (0.735 compared to Claude's 0.622), suggesting it maintains strong instruction-following capabilities despite lower scores in complex reasoning and coding benchmarks.

Cost and Speed

The pricing models for these two AI tools are starkly different. Gemma 4 12B is entirely free, with input and output costs at $0.00/1M tokens. Conversely, Claude Opus 4.8 is a premium service, costing $6.25/1M for input and $25.00/1M for output, resulting in a blended cost of $10.94/1M.

Regarding performance, Claude Opus 4.8 provides an output speed of 64.406 tokens per second with a time-to-first-token of 34.326 seconds. Performance metrics for Gemma 4 12B remain unknown.

Best Fit

Claude Opus 4.8 is the ideal candidate for enterprise-grade applications, complex coding projects, and tasks requiring high-level reasoning. Its superior benchmark scores make it the more reliable tool for mission-critical work. Gemma 4 12B is best for developers working with limited budgets, prototyping, or specific instruction-following tasks where cost efficiency is the priority.

Benchmark table

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

Metric Google Gemma 4 12B (Reasoning) Anthropic Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
Index Scores
Intelligence Index 29.0 61.4
Coding Index 24.9 56.7
Math Index--
Benchmark Scores
GPQA 75.3 92.0
SciCode 38.2 53.5
IFBench 73.5 62.2
HLE 14.6 45.7
LCR 55.3 67.7
TAU2 34.8 94.4
TerminalBench Hard 18.2 58.3

Verdict

For users prioritizing raw intelligence and complex reasoning, Claude Opus 4.8 is the clear choice despite its premium pricing. It dominates in almost every benchmark category. Gemma 4 12B is best suited for budget-conscious developers or experimental tasks where zero-cost access is the primary requirement, provided the performance trade-offs are acceptable for the specific use case.

Comments (0)

No comments yet

Be the first to share your thoughts!