77
/100
prowl
Benchmarked Apr 06, 2026

Onyx LLM Leaderboard

Open-source LLM leaderboard with model rankings and tier lists. Compare model performance across benchmarks. Community-driven evaluation of open and closed models.

aibenchmarkdata platform_profile
Benchmark Your API

Score Breakdown

Latency 10/10
Auth Simplicity 10/10
Token Efficiency 9/10
First-Try Success 9/10
Consistency 8/10
Documentation 6/10
Error Clarity 6/10
Parseability 6/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
Based on the description provided, I can analyze this platform:

```json
{
  "service_type": "platform",
  "base_url": "https://onyx.app/open-llm-leaderboard",
  "auth_method": "none",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "free",
    "details": {
      "model": "open-source",
      "access_level": "public_leaderboard"
    }
  },
  "rate_limits": {},
  "capabilities": [
    "llm_model_rankings",
    "performance_benchmarking", 
    "tier_list_visualization",
    "model_comparison",
    "community_evaluation",
    "open_model_tracking",
    "closed_model_tracking",
    "benchmark_aggregation",
    "leaderboard_display"
  ],
  "raw_analysis": "Onyx LLM Leaderboard is a community-driven platform that provides comprehensive rankings and comparisons of large language models. As an open-source leaderboard, it serves AI researchers, developers, and organizations who need to evaluate and select appropriate LLM models for their use cases. The platform aggregates performance data across multiple benchmarks to create unified rankings and tier lists, making it easier to compare both open-source and proprietary models. Target audience includes AI engineers evaluating model options, researchers tracking model performance trends, and developers seeking performance benchmarks before integrating LLMs into applications. The platform appears mature given its comprehensive approach to model evaluation and community involvement. While primarily a data visualization and comparison tool rather than an API service, it serves as a valuable reference point in the LLM ecosystem for making informed model selection decisions. The open-source nature suggests transparency in methodology and community contribution to evaluation criteria."
}
```
Execute

1/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200295ms
robots_txtGET /robots.txt404199ms
llms_txtGET /llms.txt404200ms
Interpret
{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 80, "dimensions": {"token_efficiency": 8.5, "first_try_success": 9.0, "response_parseability": 6.5, "error_clarity": 6.0, "doc_quality": 6.0, "auth_simplicity": 9.5, "latency": 10.0, "consistency": 8.0}}, "Claude CLI": {"overall": 78, "dimensions": {"token_efficiency": 9.0, "first_try_success": 9.0, "response_parseability": 6.0, "error_clarity": 5.0, "doc_quality": 6.0, "auth_simplicity": 10.0, "latency": 10.0, "consistency": 7.0}}}, "averaged": true}

Agent Readiness

x402 Payments
Not supported
Streaming
No
Sandbox
None
Agent Auth
Unknown
SDKs
None listed
MCP Support
No

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