AI Model Comparator
Compare GPT-4o, Claude, Gemini, DeepSeek, Llama, and Mistral side by side. Context windows, pricing, benchmarks, and capabilities.
Select Models to Compare
| Attribute | OpenAIGPT-4o | OpenAIGPT-4o mini | AnthropicClaude Sonnet 4.6 | AnthropicClaude Opus 4.6 | GoogleGemini 2.5 Pro | DeepSeekDeepSeek V3 | MetaLlama 3.3 70B | MistralMistral Large 2 |
|---|---|---|---|---|---|---|---|---|
| Context Window | 128K | 128K | 200K | 200K | 1.048576M | 128K | 128K | 128K |
| Input Price / 1M | $2.50 / 1M tokens | $0.15 / 1M tokens | $3.00 / 1M tokens | $15.00 / 1M tokens | $1.25 / 1M tokens | $0.27 / 1M tokens | $0.00 / 1M tokens | $2.00 / 1M tokens |
| Output Price / 1M | $10.00 / 1M tokens | $0.60 / 1M tokens | $15.00 / 1M tokens | $75.00 / 1M tokens | $10.00 / 1M tokens | $1.10 / 1M tokens | $0.00 / 1M tokens | $6.00 / 1M tokens |
| Generation Speed | Fast | Very Fast | Fast | Moderate | Moderate | Fast | Depends on hardware | Fast |
| vision | ||||||||
| reasoning | ||||||||
| open Source | ||||||||
| Primary Use Case | General purpose, multimodal tasks, production APIs | High-volume low-cost applications, simple classification | Long document analysis, professional writing, complex coding | Complex research, advanced reasoning, mission-critical tasks | Extremely long documents, video understanding, Google Workspace | Cost-sensitive applications, coding, open source deployments | Privacy-first deployments, self-hosted applications, research | European businesses, multilingual apps, GDPR-compliant deployments |
| mmlu | 88.7 | 82.0 | 90.2 | 92.4 | 91.0 | 88.5 | 86.0 | 84.0 |
| humaneval | 90.2 | 87.2 | 93.7 | 95.1 | 92.0 | 91.6 | 88.4 | 92.1 |
| mathbench | 76.6 | 70.2 | 78.4 | 81.2 | 83.1 | 79.2 | 72.3 | 69.0 |
Which model should I use?
Tell us what you are building and we will highlight the best models for your specific requirements.
Pricing and specifications change frequently. Always verify on the provider's official pricing page before making architectural decisions.
How to use AI Model Comparator
View the side-by-side comparison of top AI models
Use filters to narrow down models by provider or capability
Compare context windows, pricing, and benchmark scores
Check specific feature support like Vision, Tool Use, or Image Gen
Read the detailed analysis of strengths and weaknesses for each model
Privacy note: Data is updated regularly based on public documentation and official benchmarks.
Deep Dive & Guides
The AI landscape is moving faster than any technology in history. A model that was the "gold standard" three months ago might now be slower, more expensive, and less capable than a new challenger. Whether you are a developer choosing an API for your next app or a business owner deciding which chatbot subscription to buy, an AI model comparator is essential for making an informed decision.
The problem isn't a lack of information; it's an overload. Every provider uses different metrics - some talk about "tokens," some about "context windows," and others about "ELO scores." ReverseToolkit provides a clear, side-by-side comparison of the top models from OpenAI, Anthropic, Google, and the open-source community, helping you cut through the marketing noise.
This guide explains the key metrics that actually matter for real-world performance and how to choose the right model for your specific use case.
Don't get distracted by "benchmark scores" that don't reflect daily use. Focus on these four pillars to determine a model's true value for your project.
Context Window: This is the model's "short-term memory." A large context window (like Gemini's 2-million tokens) allows you to analyze entire books or massive codebases at once. A small window means the model will "forget" the start of a conversation as it gets longer.
Cost per Million Tokens: For developers, this is the most important metric. Prices vary wildly - sometimes by 10x or more. Using a "small" model (like GPT-4o-mini or Claude Haiku) for simple tasks can save thousands of dollars while providing nearly identical results.
Reasoning vs. Speed: There is always a tradeoff. "Reasoning" models (like OpenAI's o1 series) are brilliant at math and complex logic but can take 30 seconds to reply. "Flash" models are near-instant but may struggle with multi-step instructions.
Multimodal Capabilities: Does your project need to "see" images, "hear" audio, or "analyze" video? Not all models support these inputs equally. Our AI Comparison Tool highlights which models are truly multimodal.
Which model is the "best" right now?
There is no single winner. Claude 3.5 Sonnet is currently widely considered the best for coding and natural writing. GPT-4o is the most versatile all-rounder. Llama 3.1 is the king of open-source. The "best" model is simply the one that meets your specific requirements at the lowest price point.
One of the biggest decisions in 2026 is whether to use a managed API (like OpenAI) or host your own model (like Llama or Mistral).
- Proprietary (OpenAI, Anthropic): These are "plug and play." They offer the highest performance and don't require you to manage any servers. However, you have less control over privacy and your data is processed by a third party.
- Open Source (Meta, Mistral): These give you total control. You can run them on your own hardware, ensuring 100% privacy for sensitive data. They are becoming nearly as capable as the top proprietary models but require more technical expertise to set up and maintain.
How often is this data updated?
We monitor the AI space daily. Whenever a major provider releases a new model or changes their pricing, we update our comparison data within 24-48 hours to ensure you are always looking at the most current landscape.
What is an "ELO Score"?
ELO is a rating system (originally for chess) that ranks models based on human preference. In "blind tests," users are shown two anonymous model responses and pick the better one. A higher ELO score means the model's output is consistently more satisfying to human readers.
Can I try these models for free?
Most providers offer a "free tier" on their web interfaces. For developers, we recommend checking out platforms like Groq or Together AI, which often provide free credits to test various open-source models at incredibly high speeds.
Don't overpay for AI. Find the perfect balance of power and price with the ReverseToolkit AI Model Comparator. It's the fastest way to navigate the future of intelligence.