AI Model Benchmarks: Which Model Should You Actually Use in 2026?
A plain-English comparison of every major AI model in 2026 -- what they cost, how fast they are, which ones are free, and which one you should actually pick. Real pricing data from OpenRouter, no fluff.
Last week you set up OpenCode with OpenRouter. If you haven't done that yet, start here. Today's question: which model do you actually pick?
OpenRouter has over 300 models. Three hundred. That's paralysis by analysis if you don't know what you're looking at.
So let me make it simple. I'm going to explain what models are, who the big players are, what things actually cost (with real numbers I pulled from OpenRouter's API this week), and which ones I use every day.
No fluff. Let's go.
1. What Even Is a "Model"?
Think of AI models like cars.
Every car does the same basic thing -- it gets you from point A to point B. But a Honda Civic and a Porsche 911 are very different experiences. The Civic is cheap, reliable, and gets the job done. The Porsche is faster, smoother, and costs ten times as much. A bicycle is free but slower and can't go on the highway.
AI models work the same way. They all do the same basic thing -- you give them text, they give you text back. But they differ in three ways:
How smart they are. Some models write better code, reason more carefully, and make fewer mistakes. Think of this as horsepower.
How fast they respond. Some models answer in half a second. Others take five seconds to think through the same question. Think of this as 0-to-60 time.
How much they cost. Some are completely free. Others charge per "token" (roughly a word or syllable) and can run you hundreds of dollars a month if you use them heavily. Think of this as gas mileage.
Your job is to pick the right car for the right trip. You don't need a Porsche to drive to the grocery store. But if you're racing, a bicycle won't cut it.
2. The Big Players
There are six companies you need to know about. I covered them in Post #1, but here's the quick version with their current flagship models as of May 2026.
OpenAI -- GPT-5.5
OpenAI is the company that started the whole thing with ChatGPT back in 2022. Their latest model is GPT-5.5, and it's a beast. Fast, capable, good at almost everything. OpenAI also makes GPT-5.5 Pro for heavy reasoning tasks, and smaller models like GPT-5.4 Mini and GPT-5.4 Nano that are cheaper and faster but less capable.
GPT-5.5 is the default choice for a lot of people because it's what ChatGPT uses, it's well-rounded, and it integrates with OpenAI's Codex coding agent. If you're paying $20/month for ChatGPT Plus, you're already using it.
Anthropic -- Claude Opus 4.7
Anthropic makes Claude. Their flagship is Opus 4.7, released in early 2026. Claude has earned a reputation as the best model for coding -- developers consistently rank it higher than GPT for writing, debugging, and refactoring code. It's more careful and thorough than GPT, which means it's slightly slower but makes fewer mistakes.
Anthropic also makes Sonnet 4.5, which is their mid-tier model. Sonnet is faster and cheaper than Opus but still very capable. For most people, Sonnet is the sweet spot.
Google -- Gemini 3.1 Pro
Google's latest is Gemini 3.1 Pro (in preview as of this writing). Gemini's big advantage is its connection to the Google ecosystem -- Search, Gmail, Docs, YouTube. It's also the only major model with a 1-million-token context window on the free tier through Google AI Studio.
Previous Gemini models were hit-or-miss for coding, but 2.5 Pro was a genuine improvement and 3.1 continues that trend. Google also makes Flash and Flash Lite models that are very fast and very cheap.
Zhipu AI -- GLM 5.1
GLM (General Language Model) is made by Zhipu AI, one of China's top AI labs, spun out of Tsinghua University. GLM 5.1 is their latest and it's genuinely competitive with western models. It's less known in the US but has a large user base in China and Southeast Asia.
The reason you should care about GLM: it costs a fraction of what Claude or GPT costs for similar quality on many tasks. More on pricing below.
DeepSeek -- V4 Pro / V4 Flash
DeepSeek is another Chinese lab that made headlines in early 2025 when their models matched GPT-4 at a fraction of the cost. DeepSeek V4 Pro is their latest flagship, and V4 Flash is the fast/cheap version.
DeepSeek's claim to fame is being absurdly cheap while still being very good. Their coding performance is strong. If you're on a budget, DeepSeek should be on your radar.
Meta -- Llama 4
Meta takes a different approach. Instead of keeping their models behind a paywall, they release them as "open weight" models -- meaning anyone can download the model files and run them on their own hardware. Llama 4 Maverick is their latest, and it's good.
The catch: you need the technical skill to run it yourself, or you use it through a provider like OpenRouter or Together AI. It's not as polished as GPT or Claude, but it's free (as in freedom) and capable.
3. Free Options That Actually Work
You don't need to spend any money to use good AI models. Here are the best free options in May 2026.
OpenRouter free models. OpenRouter lists several models at $0. Here are the ones worth using:
- Qwen3 Coder 480B -- This is a massive coding-specialized model from Alibaba. It's free on OpenRouter and genuinely good at writing code. If you're just starting out and want a free model that can actually help you build things, try this one first.
- Poolside Laguna M.1 -- A coding agent model designed specifically for software engineering tasks. Free on OpenRouter.
- OpenAI gpt-oss-120b -- OpenAI's open-source model. Free, decent quality, 131K context window.
- GLM 4.5 Air -- Zhipu's lighter model. Free on OpenRouter with a 131K context window.
Google AI Studio. Google lets you use Gemini 2.5 Pro for free through AI Studio (aistudio.google.com). You get a generous rate limit and a 1-million-token context window. This is probably the single best free option if you don't mind using it in a browser instead of inside OpenCode.
ChatGPT Free Tier. OpenAI gives you limited access to GPT-5.x models for free at chatgpt.com. The usage caps are low, but it's enough to get a feel for what a frontier model can do.
Claude Free Tier. Anthropic offers limited free usage at claude.ai. Same deal -- low caps, but enough to try it out.
My recommendation for a complete beginner: start with Qwen3 Coder on OpenRouter through OpenCode (since you already set that up), or use Google AI Studio in your browser. Both are free and both are good enough to learn on.
4. Budget Picks ($10-20/month)
If you're ready to spend a little money, these are the plans that give you the most value.
ChatGPT Plus -- $20/month
You get GPT-5.5 in the browser with much higher usage limits than the free tier. You also get access to image generation, web search, file uploads, and the GPT store. If you use ChatGPT for anything beyond coding (writing emails, brainstorming, research), this is a solid deal.
Claude Pro -- $20/month
Anthropic's subscription. You get higher limits on claude.ai plus access to Claude Code (their coding agent) with a monthly usage allowance. If you're primarily coding, I'd pick this over ChatGPT Plus.
Cursor Pro -- $20/month
Cursor is a code editor with AI built in. The pro plan gives you unlimited AI completions and agent mode. This is the smoothest "AI inside your editor" experience. If you want AI right where you write code -- not in a separate terminal -- this is the one.
GitHub Copilot -- $19/month (free for students)
Copilot lives inside VS Code and other editors. It's more autocomplete than full agent, but it's fast and reliable. If you have a .edu email, it's free. No brainer if you qualify.
My take for this tier: If you're mainly coding, get Claude Pro or Cursor Pro. If you want AI for everything (not just code), get ChatGPT Plus. If you're a student, Copilot is free and you should grab it.
5. Power User Picks ($100-200/month)
If you're building with AI every day -- professionally or as a serious side project -- these are the plans that remove the limits.
Claude Max -- $100-200/month
This is what I use for most of my daily work. You get Claude Code with very high usage limits, access to Opus 4.7 (their best model), and priority during peak hours. The difference between free Claude and Max is like the difference between a library computer and a personal workstation. Both work, but one doesn't make you wait.
If you're shipping real software with AI and you want the best experience, this is the one.
ChatGPT Pro -- $200/month
OpenAI's power tier. You get access to GPT-5.5 Pro (their heavy reasoning model), higher limits, and priority access. It's expensive but GPT-5.5 Pro is very good at complex, multi-step tasks.
OpenRouter Pay-As-You-Go
Instead of a subscription, you put credits on OpenRouter and pay per token. This is what I do alongside Claude Max. I load $20-50 onto OpenRouter and use it to access different models depending on the task. More on my exact setup in section 8.
Enterprise Plans
If you're at a company, ask about enterprise plans. Anthropic, OpenAI, and Google all offer team and enterprise tiers with higher limits, admin controls, and (sometimes) better privacy guarantees. The pricing is usually per-seat and requires talking to sales.
6. Chinese Models: Are They Safe? Are They Good?
This deserves its own section because it's the question people ask me most.
Three Chinese model families matter in 2026: GLM (Zhipu AI), DeepSeek, and Qwen (Alibaba). Let me be honest about each.
DeepSeek is the most popular globally. Their models are legitimately good at coding. DeepSeek V3.2 and V4 Pro compete with GPT-5-class performance at 10-30x lower cost. Their R1 reasoning model is excellent for problems that require step-by-step thinking. DeepSeek is based in Hangzhou and publishes extensive research papers. I use DeepSeek models regularly through OpenRouter.
GLM (Zhipu AI) is based in Beijing, spun out of Tsinghua University. GLM 5.1 is their flagship and it's strong -- competitive with Claude Sonnet on many tasks at a third of the price. Zhipu is one of China's most established AI companies. I'm running GLM 5.1 as the model powering this blog post's writing assistant. I trust it for technical tasks.
Qwen (Alibaba) is the most widely used Chinese model family globally, partly because Alibaba open-sources many Qwen models. Qwen3 Coder is specifically tuned for programming and is free on OpenRouter. It's genuinely one of the best free coding models available. Alibaba is a massive public company (NYSE: BABA) with a long track record in cloud and AI.
Are they safe? Here's my honest answer.
For coding tasks -- writing functions, debugging, refactoring, building features -- yes. I've used all three extensively and the code quality is good. These models don't "phone home" when you use them through OpenRouter (your request goes to OpenRouter, which proxies to the model provider).
For sensitive tasks -- proprietary business logic, personal data, anything you wouldn't put in a Google Doc -- think about it. The same caution applies to every cloud model, including GPT and Claude. If you're working with genuinely sensitive data, you should be running models locally (like Llama) or on dedicated infrastructure, not through any cloud API.
The "China spying on you through AI" narrative is mostly fear-mongering. Your prompts go through OpenRouter, which is a US company. But if you're handling classified data or regulated industries, you already know you need on-prem solutions anyway.
For 99% of people reading this: Chinese models are fine to use, they're cheap, and they're good. Try them.
7. The Benchmark Data
Alright, here's the part you came for. Real numbers. I pulled pricing directly from OpenRouter's API in May 2026. Context windows are from the model providers' documentation.
Let me compare the key models head to head.
Price Comparison (cost per 1 million tokens)
| Model | Input (per 1M) | Output (per 1M) | Context Window |
|---|---|---|---|
| GPT-5.5 | $5.00 | $30.00 | 1.05M tokens |
| GPT-5.5 Pro | $30.00 | $180.00 | 1.05M tokens |
| Claude Opus 4.7 | $5.00 | $25.00 | 1M tokens |
| Claude Sonnet 4.5 | $3.00 | $15.00 | 1M tokens |
| Gemini 3.1 Pro | $2.00 | ~$10.00 | 1M tokens |
| Gemini 2.5 Pro | $1.25 | $10.00 | 1M tokens |
| Gemini 2.5 Flash | $0.30 | $2.50 | 1M tokens |
| GLM 5.1 | $1.05 | $3.50 | 203K tokens |
| DeepSeek V4 Pro | $0.44 | $0.87 | 1.05M tokens |
| DeepSeek V4 Flash | $0.14 | $0.28 | 1.05M tokens |
| Llama 4 Maverick | $0.15 | $0.60 | 1.05M tokens |
| Qwen3 Coder | $0.22 | $1.80 | 262K tokens |
A few things stand out.
DeepSeek V4 Flash is absurdly cheap. $0.14 per million input tokens and $0.28 per million output tokens. That's 35x cheaper than GPT-5.5 for input and over 100x cheaper for output. If you're processing a lot of code or documents, this adds up fast.
Claude Sonnet is the best value from Anthropic. At $3/$15, it's 40% cheaper than Opus while still being excellent for coding. For most people, Sonnet is the smarter pick.
Gemini 2.5 Flash is the budget king among western models. $0.30/$2.50 with a million-token context window. If you need a big context window (reading large codebases, long documents) and want to keep costs low, this is the one.
Llama 4 Maverick is almost free. $0.15/$0.60 for a 1-million-token context window. Meta subsidizes this to compete with OpenAI and Anthropic. You benefit.
What About Coding Accuracy?
Benchmarks like SWE-bench (which tests whether a model can fix real bugs in real open-source projects) are the gold standard for coding ability. Here's the landscape as of May 2026.
The top tier for coding accuracy is Claude Opus 4.7, GPT-5.5, and Gemini 2.5/3.1 Pro. These three trade the #1 spot depending on the specific benchmark and task. In practice, the differences between them on a single coding task are small -- any of these three will give you excellent code.
The mid tier -- Claude Sonnet 4.5, DeepSeek V4 Pro, GPT-5.4 -- is very close to the top tier. For day-to-day coding, you probably won't notice a meaningful difference. The gap shows up on complex, multi-file refactors or obscure language tasks.
The value tier -- DeepSeek V4 Flash, Llama 4 Maverick, GLM 5.1, Qwen3 Coder -- is surprisingly good. These models handle 80-90% of coding tasks at 10-30x lower cost. If you're learning or working on personal projects, these are more than enough.
Speed
In general:
- Flash/Lite models are fastest. Gemini Flash, DeepSeek V4 Flash, GPT Nano. They respond in under a second for most requests.
- Mid-tier models are fast. Claude Sonnet, GPT-5.4. Usually 1-3 seconds for a response.
- Flagship models are slower but smarter. Claude Opus, GPT-5.5 Pro. They think longer and give better answers. 3-10 seconds is normal.
- Reasoning models are slowest. DeepSeek R1, GPT-5.5 Pro in reasoning mode. These can take 10-30 seconds because they work through problems step by step. But for hard problems, the wait is worth it.
Context Windows
Context window is how much text the model can "see" at once. Bigger is better for coding because you want the model to see your entire project, not just one file.
- 1M+ tokens: GPT-5.5, Gemini 2.5/3.1, DeepSeek V4, Llama 4. These can read a small-to-medium codebase in one shot.
- 200K-1M tokens: Claude Opus 4.7 and Sonnet 4.5 (1M). GLM 5.1 (203K). Qwen3 Coder (262K). Good for most projects.
- Under 200K tokens: Older and smaller models. Fine for individual files but struggle with large projects.
8. My Personal Picks
People ask me what I actually use day to day. Here's the honest answer.
For serious coding work: Claude Max ($200/month) with Opus 4.7. This is my primary tool. I use Claude Code in the terminal for everything from building features to debugging to refactoring. The quality is consistently excellent and the context engineering support (CLAUDE.md files, project instructions) is the best in the business. I've tried everything and keep coming back to this.
For trying different models: OpenRouter with pay-as-you-go credits. I keep $20-50 loaded on OpenRouter and use it to access DeepSeek, GLM, Gemini, and other models depending on the task. Sometimes I want a second opinion from a different model. Sometimes I want to save money on a simple task. OpenRouter makes switching models trivial.
For quick questions and research: GPT-5.5 in ChatGPT. I keep a ChatGPT tab open for general knowledge questions, brainstorming, and things that aren't coding. GPT-5.5 is fast and well-rounded.
For image generation: Gemini through Google AI Studio. I use Gemini for image tasks because it's integrated with Google's image gen and it's free through AI Studio.
What I don't use: I don't pay for Cursor (I prefer terminal-based tools). I don't use Copilot (the autocomplete-only approach feels limiting after you've used a full agent). I don't run local models (my laptop isn't powerful enough for frontier-quality inference and I don't want to manage GPU infrastructure).
If I were on a $0 budget: I'd use Qwen3 Coder on OpenRouter (free) for coding, and Google AI Studio for everything else (also free). You can do real work with these.
If I were on a $20/month budget: Claude Pro. No contest. $20/month for Claude Code with Sonnet is the best value in AI right now.
9. How to Switch Models (It's Easier Than You Think)
Here's the thing most people don't realize: switching models takes about five seconds. You are not locked in.
In OpenCode: Type /model in the chat, pick a different model from the list, and you're done. Same conversation, different model. You can switch mid-conversation as many times as you want.
On OpenRouter: Go to openrouter.com/models, browse the full list with live pricing, and click any model to see its details. Your API key works with every single one.
In Claude Code: Run claude model to see available models and switch.
In Cursor: Open Settings, go to Models, and select from the dropdown.
There is no "right" model. There's the right model for what you're doing right now. Use a cheap fast model for simple tasks. Use a heavy reasoning model for complex bugs. Use a free model when you're learning. Switch whenever you want.
The biggest mistake beginners make is overthinking this. Pick one, start building, and switch if it's not working for you. The model is the least important part of the equation. What matters is that you're actually using AI to build things.
10. What's Next
The model landscape changes fast. Here's what's coming in the next few months.
GPT-6 is on the horizon. OpenAI rarely announces release dates, but the cadence suggests late 2026 or early 2027. Expect another meaningful jump in reasoning ability.
Claude 5. Anthropic releases new Claude versions roughly every 6-8 months. If the pattern holds, we'll see Claude 5 by late 2026.
Open-source models are getting scary good. Llama 4, Qwen3, and the new open-source models from Poolside and NVIDIA are closing the gap with proprietary models fast. This is great for everyone -- it puts downward pressure on pricing and means you can run frontier-quality models on your own hardware sooner rather than later.
Agent-native models. The next wave of models won't just be "better at answering questions." They'll be designed specifically for agentic workflows -- reading codebases, running commands, iterating on solutions. The model and the tool will become harder to separate. This is where the real action is in 2026.
What to watch for: If you want to stay up to date, bookmark lmarena.ai (the community model leaderboard) and swebench.com (the coding benchmark). These update in near-real-time as new models drop.
The Short Version
If you scrolled to the bottom looking for the answer, here it is:
- Free: Qwen3 Coder or Google AI Studio
- $20/month: Claude Pro
- $200/month: Claude Max
- Budget coding: DeepSeek V4 Flash (basically free, surprisingly good)
- Don't overthink it: Pick one and start building
The model you pick matters less than the fact that you're using one. Every model on this list is capable enough to help you write real software. The magic isn't in the model -- it's in you actually sitting down and building something.
That's it for this week. Next post we're going deeper on context engineering -- the skill that separates people who get mediocre results from AI from people who get amazing results. It's the most important thing I can teach you.
Subscribe to the newsletter if you want it in your inbox. One email a week, I read every reply, and I'll help you directly if you're stuck.
See you next week.
This is post #3 in the AI with Kian beginner series. Post #1: What Are AI Coding Agents? | Post #2: Setting Up OpenCode + OpenRouter | Post #4: Context Engineering (coming soon)