# BenchLM AI

> BenchLM AI compares 132 tracked AI models across 43 benchmarks in 8 categories: Agentic, Coding, Multimodal & Grounded, Reasoning, Knowledge, Instruction Following, Multilingual, and Mathematics. Leaderboards exclude generated benchmark rows so the public rankings stay conservative and source-aware.

## Main Pages

- [Homepage](https://benchlm.ai/): Overall leaderboard and benchmark explorer
- [Models Directory](https://benchlm.ai/models): Canonical model families and sibling SKUs
- [Compare](https://benchlm.ai/compare): Head-to-head model comparisons
- [Benchmarks](https://benchlm.ai/benchmarks): Benchmark directory and explainer pages
- [Pricing](https://benchlm.ai/pricing): Token pricing comparison for major models
- [Alternatives Directory](https://benchlm.ai/alternatives): SEO landing pages for ChatGPT, Claude, Gemini, and OpenAI API alternatives
- [Blog](https://benchlm.ai/blog): Benchmark explainers and model analysis

## Top Model Profiles

- [GPT-5.4](https://benchlm.ai/models/gpt-5-4): #1, OpenAI, 85/100, Proprietary, 1.05M
- [Gemini 3.1 Pro](https://benchlm.ai/models/gemini-3-1-pro): #2, Google, 84/100, Proprietary, 1M
- [Claude Sonnet 4.6](https://benchlm.ai/models/claude-sonnet-4-6): #3, Anthropic, 77/100, Proprietary, 200K
- [DeepSeek V3.2 (Thinking)](https://benchlm.ai/models/deepseek-v3-2-thinking): #4, DeepSeek, 69/100, Open Weight, 128K
- [o3](https://benchlm.ai/models/o3): #5, OpenAI, 68/100, Proprietary, 200K
- [Gemini 3 Pro Deep Think](https://benchlm.ai/models/gemini-3-pro-deep-think): #6, Google, 68/100, Proprietary, 2M
- [GLM-4.7](https://benchlm.ai/models/glm-4-7): #7, Zhipu AI, 67/100, Open Weight, 200K
- [DeepSeek Coder 2.0](https://benchlm.ai/models/deepseek-coder-2-0): #8, DeepSeek, 66/100, Open Weight, 128K
- [Qwen2.5-1M](https://benchlm.ai/models/qwen2-5-1m): #9, Alibaba, 66/100, Open Weight, 1M
- [Grok 4](https://benchlm.ai/models/grok-4): #10, xAI, 65/100, Proprietary, 128K

## Best-Of Rankings

- [Best LLMs for Coding](https://benchlm.ai/best/coding)
- [Best LLMs for Math](https://benchlm.ai/best/math)
- [Best LLMs for Knowledge](https://benchlm.ai/best/knowledge)
- [Best LLMs for Reasoning](https://benchlm.ai/best/reasoning)
- [Best Agentic AI Models](https://benchlm.ai/best/agentic)
- [Best Multimodal & Grounded AI Models](https://benchlm.ai/best/multimodal-grounded)
- [Best LLMs for Instruction Following](https://benchlm.ai/best/instruction-following)
- [Best Multilingual LLMs](https://benchlm.ai/best/multilingual)
- [Best Open Source LLMs](https://benchlm.ai/best/open-source)
- [Best Proprietary LLMs](https://benchlm.ai/best/proprietary)
- [Best Reasoning AI Models](https://benchlm.ai/best/reasoning-models)
- [Best OpenAI Models](https://benchlm.ai/best/openai-models)
- [Best Anthropic Models](https://benchlm.ai/best/anthropic-models)
- [Best Google AI Models](https://benchlm.ai/best/google-models)
- [Best Meta AI Models](https://benchlm.ai/best/meta-models)
- [Best DeepSeek Models](https://benchlm.ai/best/deepseek-models)
- [Best AI Models Overall](https://benchlm.ai/best/overall)
- [Best Large Context Window LLMs](https://benchlm.ai/best/large-context-window)
- [Best Chinese AI Models](https://benchlm.ai/best/chinese-models)
- [Best Non-Reasoning LLMs](https://benchlm.ai/best/non-reasoning-models)
- [Best Mistral Models](https://benchlm.ai/best/mistral-models)
- [Best xAI Grok Models](https://benchlm.ai/best/xai-models)
- [Best Alibaba Qwen Models](https://benchlm.ai/best/alibaba-models)

## Tools & Resources

- [Alternative Finder](https://benchlm.ai/tools/alternative-finder): Replace ChatGPT, Claude, Google Gemini, or the OpenAI API using benchmark fit, pricing, context, and open-weight filters
- [LLM Selector Quiz](https://benchlm.ai/tools/llm-selector): Personalized model recommendations
- [AI Cost Calculator](https://benchlm.ai/tools/ai-cost-calculator): Budgeting by deliverable rather than raw token counts
- [Cost Calculator](https://benchlm.ai/tools/cost-calculator): Monthly API spend estimates from token usage

## Alternative Landing Pages

- [Best ChatGPT Alternatives in 2026](https://benchlm.ai/alternatives/chatgpt): chatgpt alternatives, best chatgpt alternatives, best alternative to chatgpt
- [Best Claude Alternatives in 2026](https://benchlm.ai/alternatives/claude): claude alternative, best claude alternative, cheaper alternative to claude
- [Best Google Gemini Alternatives in 2026](https://benchlm.ai/alternatives/google-gemini): google gemini alternative, best google gemini alternative, gemini alternative
- [Best OpenAI API Alternatives in 2026](https://benchlm.ai/alternatives/openai-api): openai api alternative, best openai api alternatives, cheaper openai api alternative
- [Best Free ChatGPT Alternatives in 2026](https://benchlm.ai/alternatives/chatgpt/free): free chatgpt alternative, best free chatgpt alternative, chatgpt alternative free
- [Best Open Source ChatGPT Alternatives in 2026](https://benchlm.ai/alternatives/chatgpt/open-source): open source chatgpt alternative, best open source chatgpt alternative, open-weight chatgpt alternative
- [Best Claude Alternatives for Coding in 2026](https://benchlm.ai/alternatives/claude/coding): claude alternative for coding, best claude alternative for coding, claude code alternative

## Blog Posts

- [Best LLM for Coding in 2026: Ranked by SWE-bench, LCB, and Real-World Performance](https://benchlm.ai/blog/posts/best-llm-coding): Which AI model is best for coding in 2026? We rank major LLMs by SWE-bench Pro and LiveCodeBench, with SWE-bench Verified shown as a historical baseline — plus pricing and use-case guidance.
- [BrowseComp Explained: How We Measure Web Research Agents](https://benchlm.ai/blog/posts/browsecomp-browsing-benchmark): BrowseComp evaluates whether AI models can search the web, gather evidence, and answer research questions instead of relying only on latent knowledge.
- [Claude Opus 4.6 vs GPT-5.4: Full Benchmark Breakdown (2026)](https://benchlm.ai/blog/posts/claude-opus-vs-gpt-5): Claude Opus 4.6 vs GPT-5.4 head-to-head: benchmark scores, pricing, and when to use each. GPT-5.4 leads on 16 of 20 benchmarks at 6x lower cost. But Claude holds real advantages in some areas.
- [LLM API Pricing Comparison 2026: Every Major Model, Ranked by Cost](https://benchlm.ai/blog/posts/llm-pricing-2026): Full LLM API pricing comparison for 2026 — input/output token costs for GPT-5, Claude, Gemini, DeepSeek, Grok, and more. Find the cheapest model for your use case.
- [OSWorld-Verified Explained: How We Measure Computer-Use Models](https://benchlm.ai/blog/posts/osworld-verified-computer-use-benchmark): OSWorld-Verified measures whether AI models can operate software interfaces and complete multi-step computer tasks with reliability.
- [Terminal-Bench 2.0 Explained: How We Measure Agentic Coding](https://benchlm.ai/blog/posts/terminal-bench-2-agentic-benchmark): Terminal-Bench 2.0 measures whether AI models can work through real terminal-based coding and ops workflows instead of just answering in chat.
- [What Do LLM Benchmarks Actually Measure?](https://benchlm.ai/blog/posts/what-benchmarks-measure): LLM benchmarks don't measure intelligence. They measure specific, narrow abilities under controlled conditions. Here's what each benchmark type actually tests — and what it misses.
- [AIME & HMMT: Can AI Models Do Competition Math?](https://benchlm.ai/blog/posts/aime-hmmt-competition-math): AIME and HMMT are high school math olympiad competitions now used to benchmark AI. Frontier models score 95-99% — competition math is effectively solved. Here's what that means.
- [Best LLM for Coding in 2026: What the Benchmarks Actually Show](https://benchlm.ai/blog/posts/best-llm-for-coding): We ranked every major LLM by coding benchmarks — HumanEval, SWE-bench Verified, and LiveCodeBench. Here's which model actually comes out on top, and why the answer depends on what you're building.
- [What Is Chatbot Arena Elo? How Human Preference Drives Rankings](https://benchlm.ai/blog/posts/chatbot-arena-elo-explained): Chatbot Arena ranks AI models using Elo ratings from blind human preference votes. Here's how the system works, what the scores mean, and how Elo compares to standardized benchmarks.
- [Claude Opus 4.6 vs GPT-5.4: Where Each Model Actually Wins](https://benchlm.ai/blog/posts/claude-opus-4-6-vs-gpt-5-4): A direct benchmark comparison of Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.4 across current BenchLM.ai data. GPT-5.4 now has the stronger overall profile, but Claude still has specific workflow advantages.
- [GPQA Diamond: The PhD-Level Science Benchmark](https://benchlm.ai/blog/posts/gpqa-diamond-science-benchmark): GPQA tests AI models with graduate-level questions in biology, physics, and chemistry that are 'Google-proof' — even skilled non-experts with internet access can't answer them. Here's how it works.
- [HLE (Humanity's Last Exam): The Hardest Benchmark](https://benchlm.ai/blog/posts/hle-humanitys-last-exam): Humanity's Last Exam is crowdsourced from thousands of domain experts and designed to probe the absolute frontier of AI. Top models score only 10-46%. Here's why HLE matters.
- [LiveCodeBench: Why Static Coding Benchmarks Aren't Enough](https://benchlm.ai/blog/posts/livecodebench-contamination-free): LiveCodeBench uses fresh competitive programming problems from LeetCode, Codeforces, and AtCoder to prevent data contamination. Here's why it matters and which models lead.
- [MMLU vs MMLU-Pro: What Changed and Why It Matters](https://benchlm.ai/blog/posts/mmlu-vs-mmlu-pro): MMLU and MMLU-Pro are the most cited knowledge benchmarks in AI. Here's what each measures, why MMLU is saturated, and why MMLU-Pro is the better discriminator in 2026.
- [SWE-bench Explained: How We Measure Real-World Coding](https://benchlm.ai/blog/posts/swe-bench-explained): SWE-bench Verified tests AI models on resolving real GitHub issues from Django, Flask, and scikit-learn. Here's how it works, why it matters, and which models score highest.
- [What Is HumanEval? The Coding Benchmark Explained](https://benchlm.ai/blog/posts/what-is-humaneval-coding-benchmark): HumanEval tests whether AI models can generate correct Python functions from docstrings. Here's what it measures, why it's nearly saturated, and which benchmarks matter more in 2026.
- [Building Your Own LLM Benchmark: A Practical Guide](https://benchlm.ai/blog/posts/building-custom-llm-benchmark): How to create a custom LLM benchmark for your specific use case — from defining tasks and building datasets to scoring models and avoiding common pitfalls.
- [The Complete Guide to LLM Benchmarking: Everything You Need to Know](https://benchlm.ai/blog/posts/complete-guide-llm-benchmarking): Everything you need to know about LLM benchmarking — what benchmarks measure, how to choose the right ones, common pitfalls, and how to interpret results for real-world model selection.
- [How to Interpret LLM Benchmark Results: A Practical Guide](https://benchlm.ai/blog/posts/interpreting-llm-benchmark-results): How to read LLM benchmark scores correctly — what differences are meaningful, what to ignore, common misinterpretations, and how to translate benchmark data into model selection decisions.

## Markdown Mirrors

- [Homepage (md)](https://benchlm.ai/md/index.md)
- [Models directory (md)](https://benchlm.ai/md/models/index.md)
- [Benchmarks directory (md)](https://benchlm.ai/md/benchmarks/index.md)
- [Compare index (md)](https://benchlm.ai/md/compare/index.md)
- [Pricing (md)](https://benchlm.ai/md/pricing.md)
- [Alternatives directory (md)](https://benchlm.ai/md/alternatives/index.md)
- [Alternative Finder (md)](https://benchlm.ai/md/tools/alternative-finder.md)
- [AI Cost Calculator (md)](https://benchlm.ai/md/tools/ai-cost-calculator.md)
- [LLM Selector (md)](https://benchlm.ai/md/tools/llm-selector.md)
- [Cost Calculator (md)](https://benchlm.ai/md/tools/cost-calculator.md)
- Individual alternative pages available at: `https://benchlm.ai/md/alternatives/[slug].md`
- Individual model pages available at: `https://benchlm.ai/md/models/[slug].md`
- Benchmark pages available at: `https://benchlm.ai/md/benchmarks/[slug].md`
- Best-of ranking pages available at: `https://benchlm.ai/md/best/[slug].md`
- Comparison pages available at: `https://benchlm.ai/md/compare/[slug].md`
- Blog posts available at: `https://benchlm.ai/md/blog/[slug].md`

## Data & Technical Notes

- Data last updated: March 17, 2026
- Canonical model families tracked: 54
- Total pairwise comparisons available: 8646
- Built with Next.js and deployed on Cloudflare Workers via OpenNext
- Sitemap: https://benchlm.ai/sitemap.xml
- Full crawler bundle: https://benchlm.ai/llms-full.txt
- Author: [@glevd](https://x.com/glevd)