ZAK_MODEL_BENCHMARK

React Component Creation
Real-World Performance

Scenario: Controlled component generation under governance constraints. Date: 14 Feb 2026. Models tested: 25.

Evaluation: Quality · Cost efficiency · Execution speed · Structural accuracy

TOP_PERFORMERS_BY_ROLE

🧩 Best Component Builders

Models that consistently produce clean, production-ready UI code with minimal supervision.

essentialai/rnj-1-instruct
- Highest quality score: 99.94
- Extremely efficient token usage
- Stable structure and minimal drift
mistralai/devstral-2512
- Fast execution
- Excellent React composition patterns
- Strong cost efficiency
qwen3-coder-next
- Balanced output size
- Reliable implementation logic
- High points per dollar

👉 Use these when: generating components, scaffolding UI, structured coding tasks.

⚡ Best Value Models (Performance per Dollar)

These models deliver strong results at extremely low cost.

•
xiaomi/mimo-v2-flash Highest Pts/$ ratio · Lean outputs · Ideal for high-volume automation
•
nvidia/nemotron-nano-30b Near-zero cost runs · Stable results under governance
•
gemini-3-flash-preview Fast response times · Good balance between verbosity and structure

👉 Use these when: scaling automation or running batch component generation.

🧠 Architecture & Planning Specialists

Models that excel at structure, documentation, and system-level thinking.

•
openrouter/aurora-alpha Strong architectural reasoning · Highly structured output style
•
anthropic/claude-opus-4.5 Deep design thinking · Expensive but thorough
•
x-ai/grok-4.1-fast High reasoning density · Cheaper than large premium models despite higher token usage

👉 Use these when: designing systems, migrations, or complex workflows.

KEY_INSIGHT

📊 Tokens ≠ Cost

During testing:

Claude Opus

956 output tokens

Cost ≈ $0.0717 per component

Grok 4.1 Fast

2897 output tokens

Cost ≈ $0.0145 per component

🔥 Grok was 4.9× cheaper despite producing more text.

ZAK evaluates economic efficiency — not just token counts.

COST_CALCULATOR

Component Generation Cost Calculator

Components per month

With Claude Opus 4.5

$75.30/month

With essentialai/rnj-1

$0.53/month

Savings: $74.77/month (99.3%)

Try RNJ-1 in ZAK →

COMPARE_MODELS

Compare Models Side-by-Side

Model 1

Model 2

Metric	Claude Opus 4.5	essentialai/rnj-1
Quality Score	95.2/100	99.9/100 ✓
Cost/Component	$0.0753	$0.0005 ✓
Speed	15s	10s ✓
Tokens (avg)	956	503 ✓
Best For	Architecture	Components ✓

Winner: essentialai/rnj-1 (5/5 categories)

Try This Comparison in ZAK →

PERFORMANCE_PATTERNS

Lean Builders Win

Smaller specialised models outperformed flagship reasoning models for component generation.

Structured Output Drives Scores

Models that produced clear sections, minimal narrative, and direct implementation code consistently ranked highest.

Over-Reasoning Hurts Efficiency

Large models produced high-quality results but consumed significantly more budget without increasing scores proportionally.

SAMPLE_OUTPUT

📋 Sample Output Comparison

Prompt: "Create a UserProfile component"

Claude Opus 4.5 (95 score, $0.0753)

interface User {
  name: string;
  email: string;
  avatar?: string;
  role: string;
}
// ... structured types, thorough implementation
// 956 tokens | 15s | $0.0753

essentialai/rnj-1 (99.94 score, $0.0005)

interface UserProfileProps {
  user: { name: string; email: string; ... };
  onEdit?: () => void;
  editable?: boolean;
}
// Clean, production-ready code. No bloat.
// 503 tokens | 10s | $0.0005

Notice: RNJ-1 scored higher with ~142× lower cost.

Try Both Models →

NON_FUNCTIONAL_RUNS

⚠️ Excluded from Ranking

The following models returned no usable output during this benchmark:

• openai/gpt-5.2-pro
• openai/gpt-5.2
• openai/gpt-5.1
• openai/gpt-5.1-codex-max

These appear to be provider routing or compatibility issues rather than model failures.

RECOMMENDATION_MATRIX

Task	Recommended Model Type
Component creation	rnj-1, devstral, qwen coder
High-volume automation	mimo-flash, nemotron nano
System design & planning	aurora-alpha, opus
Governance supervision	compact models (e.g. mini-class)