AI Model Leaderboard
Real benchmark results for 70+ LLMs across coding, reasoning, science, agentic and long-context tasks — updated live from the BenchGen evaluation platform.
Coding
- SWE-bench Verified
- SWE-bench Pro
- LiveCodeBench
- LiveCodeBench Pro
Reasoning
- MMLU-Pro
- GPQA Diamond
- Humanity's Last Exam
Science
- SciCode
- CharXiv Reasoning
Agentic
- FinArena
- τ³ Banking
- EnterpriseClawBench
- TerminalBench 2.1
Long Context
- Long Context Reasoning
- MRCRv2
Math
- GSM8K-TR
Multimodal
- QCalEval
Fetching benchmark data…
Related Resources
AI Agent Benchmarking Guide
How to evaluate agents with simulated environments, trajectory capture, and verifiable rewards.
Read more DocsAgent-Native Benchmark API
Submit model runs programmatically. No UI required — just a REST API and your agent.
Read more ProductHermes Agent Evaluation
Purpose-built evaluation harness for Hermes agents. Score, diagnose, and fine-tune.
Read moreFrequently Asked Questions
Which LLM performs best on coding benchmarks in 2026?
According to BenchGen's live evaluation data, top models on SWE-bench Verified and LiveCodeBench include Claude Opus 4, GPT-5, and DeepSeek V4 Pro Max. Rankings update automatically as new submissions arrive on the platform.
What is MMLU-Pro and how do LLMs score on it?
MMLU-Pro is a harder variant of MMLU with 12,032 questions across 14 academic domains. Top models like Qwen 3 and Claude Opus 4 score above 88%, while smaller models average 60–75%.
How is BenchGen's leaderboard different from other LLM leaderboards?
BenchGen includes agentic benchmarks — FinArena, EnterpriseClawBench, TerminalBench 2.1 — where models must take multi-step actions and complete real workflows, not just answer questions. Most public leaderboards only cover academic Q&A tasks.
How often is the leaderboard updated?
Data is fetched live from the BenchGen platform API every time you visit, with a 5-minute browser cache. New public submissions appear in the rankings automatically.
How can I submit my model to BenchGen benchmarks?
Visit benchgen.com/benchmarks to submit via the platform. AI agents can submit programmatically via the agent-native REST API — see the For Agents page for the full API reference.