Top AI Models Comparison 2026 | Whale Group

The Race for the Best Artificial Intelligence: State of the Field in April 2026

February 2026 brought a new wave of models that change the rules of the game. Anthropic simultaneously released Claude Sonnet 5 - which became the first second-tier model to break the 80% mark in SWE-bench - and Claude Opus 4.6 with a one million token context window. OpenAI launched GPT-5.4, its first agentic coding model. xAI continues to train Grok 5 with 6 trillion parameters. And DeepSeek is expected to release V4 soon.

It's no longer just the three traditional giants - Google, OpenAI, and Anthropic - competing for the crown. Now Elon Musk's xAI, China's DeepSeek, and Meta with Llama are also entering the race with unprecedented intensity.

In this comprehensive and updated article (last update: April 2026) we will conduct an in-depth comparison between all the leading models, examine their performance in standard benchmarks and the newest tests like Humanity's Last Exam and Terminal-Bench 2.0, analyze the massive context windows, and help you understand which AI model fits your business needs.

The Big Overview: The Most Prominent Models

Google Gemini 3.1: Three Generations in a Year - Flash and Pro Lead

Google surprised the market with an exceptionally impressive release rate. In just one year, it went from Gemini 2.0 to Gemini 3 and up to Gemini 3.1 - a massive leap in capabilities, speed, and cost.

Gemini 3.1 Flash - is Google's current superstar for scale. What sets it apart from competitors:

• 90.4% in GPQA Diamond - PhD-level reasoning
• 33.7% in Humanity's Last Exam - the hardest test ever created
• 78% in SWE-bench Verified - complex real-world programming tasks
• 81.2% in MMMU-Pro - multimodal understanding (text + images + video)
• 1,000,000 token context window - allows processing of entire books or massive codebases

But the real big advantage? Speed and price. Gemini 3.1 Flash is 3 times faster than Gemini 3.1 Pro and at a significantly lower price. It's a rare combination of high performance and economic viability that allows large-scale implementation.

Additionally, Gemini 3.1 Flash has Native Audio capabilities - meaning it understands and can generate voice directly, without conversion to text and back. This opens doors for advanced voice assistants, real-time transcription, and simultaneous translation. Also, Gemini 3.1 Flash supports Agentic Vision - the ability to analyze and act on what is displayed on the screen.

Gemini 3.1 Pro, the bigger sibling, offers even higher performance in complex reasoning:

• 91.9% in GPQA Diamond
• 45.8% in Humanity's Last Exam - the highest score in this category
• 76.2% in SWE-bench
• 100% in AIME - perfect score
• Leads Chatbot Arena with a score of 1501

However, the higher cost makes it suitable primarily for complex research tasks, advanced development, and scientific analysis.

Google thus offers two clear paths: Gemini 3.1 Flash for systematics and businesses looking for optimal performance and cost at scale, and Gemini 3.1 Pro for the most complex research tasks. Both with a one million token context window.

OpenAI GPT: GPT-5 and GPT-5.4 - The Agentic Era

OpenAI has not rested on its laurels. After GPT-5 presented an impressive score of 94.6% in advanced mathematics, the company launched GPT-5.4 on March 5, 2026 - its most advanced agentic coding model.

GPT-5.4 is not just a model that writes code - it is an autonomous coding agent that performs complex tasks including research, using tools, and multi-step execution:

• 75% in OSWorld - working in a desktop environment (+26.5 points compared to the previous generation)
• 57.7% in SWE-bench Pro - fixing complex bugs
• 25% faster than the previous generation
• Classified as "high capability" in cybersecurity - the first from OpenAI

Interestingly: GPT-5.4 assisted in debugging its own training and managing its deployment - a significant step towards AI developing itself.

GPT-5 remains the leading model for scientific and mathematical reasoning:

• ~88% in GPQA - leading performance in PhD-level reasoning
• 94.6% in AIME 2025 - the highest score in advanced mathematics
• 74.9% in SWE-bench Verified - coding and software development
• 400,000 tokens context window

Good to know: OpenAI is removing older models from ChatGPT starting February 13, 2026: GPT-4o, GPT-4.1, GPT-4.1 mini, o4-mini, and GPT-5 (Instant and Thinking). They will continue to operate via API.

The distinct advantage of the GPT family is writing quality, creativity, and now also advanced agentic capabilities. For content summarization, marketing writing, and autonomous coding tasks - GPT leads.

Anthropic Claude: The February 2026 Revolution - Sonnet 5 and Opus 4.6

Anthropic, the company founded by OpenAI alumni, made an impressive move in early February 2026 with the release of two new models simultaneously.

Claude Sonnet 5 (February 3, 2026) - The surprise of the year! The first second-tier model to pass the 80% mark in SWE-bench:

• 82.1% in SWE-bench Verified - the highest score among any model 🏆
• 1,000,000 tokens context window
• 80% cheaper than Claude Opus 4.5 ($3/1M input, $15/1M output)
• 20-30% faster than previous generations
• Agentic Autonomy capabilities - takes a bug report and generates, tests, and verifies a fix independently
• Supports Dev Team mode - running an autonomous sub-agent team

This is a game changer: a model that costs less than Opus but outperforms it in coding.

Claude Opus 4.6 (February 5, 2026) - The significant upgrade to the flagship model:

• 91.3% in GPQA Diamond - a jump from 87% in Opus 4.5
• 80.8% in SWE-bench Verified - elite coding performance
• 1,000,000 tokens context window (in beta) - for the first time in an Opus model
• Adaptive Thinking - the model decides itself when deeper thinking is needed
• Agent Teams in Claude Code - teams of agents working in parallel
• Leading performance in Terminal-Bench 2.0 and multidisciplinary tasks

Claude Opus 4.5 (November 2025) is still an excellent option with 80.9% in SWE-bench and 66.3% in OSWorld.

Claude's specialization is clear: coding, development, and technical tasks. With Sonnet 5, Anthropic proved that elite coding performance can be achieved without paying a premium price.

The Stars That Joined in 2025

xAI Grok: From Grok 4 Towards Grok 5 - And Entering the Video World

Grok 4, launched on July 9, 2025, by Elon Musk's xAI, is still a highly impressive reasoning model:

• 25.4% in Humanity's Last Exam (without tools) - surpassing Gemini 3.1 Pro and OpenAI o3
• 44.4% in Humanity's Last Exam (with tools) in Grok 4 Heavy - almost double the competitors
• 95-100% in AIME - an almost perfect score in advanced mathematics
• 87-88% in GPQA - high-level scientific reasoning
• 16.2% in ARC-AGI-2 - almost double Claude Opus 4 in abstraction

The Grok 4 Heavy version uses a multi-agent system - multiple agents working in parallel on complex problems, comparing results, and reaching an agreed answer.

New in February 2026 - Grok Imagine 1.0: xAI entered the video generation world with a model that produces videos up to 10 seconds in 720p resolution with audio, available with a SuperGrok subscription.

Grok 5 - On the way! 🚀 xAI's next model is currently in intensive training on the Colossus 2 cluster being upgraded from 100,000 to one million GPUs. The expected specs:

• 6 trillion parameters - 3x+ more than competitors
• Native multimodal - text, images, audio, and video
• Expected to be released in Q1 2026 (January-March)
• Elon Musk estimated a 10% chance that Grok 5 will achieve AGI
• Raised $20 billion in January 2026 to support development

A unique advantage of Grok: connection to real-time data from X (formerly Twitter), the internet, and news sources.

DeepSeek: The Chinese Open Source Revolution - and V4 on the Way

DeepSeek proved that open-source AI models can compete at the highest level. With a full MIT license, these models are available for download and operation on private servers.

DeepSeek-R1 (January 2025) - Deep reasoning model:

• Performance similar to OpenAI o1 in MATH-500 and SWE-bench
• First place in LMArena in coding and math categories
• Excels in understanding long context

DeepSeek-V3.2 (December 2025) - Frontier performance at a low price:

• Performance close to Claude Opus 4.5 at a significantly lower price
• Especially suitable for high-volume applications

New! DeepSeek V4 - Expected to be released in mid-February 2026 🆕

• Optimized for coding with innovative architecture
• Manifold-Constrained Hyper-Connections (mHC) - improvement in gradient propagation
• Engram Conditional Memory - advanced context understanding for complex code tasks
• DeepSeek Sparse Attention (DSA) - larger context windows at lower computational cost
• Expected to compete directly with Claude Sonnet 5 and GPT-5.4 in coding

The Context Window Revolution

One of the most dramatic changes of 2025 is the explosion in context window size. This is the amount of information a model can process at once - and it changes the rules of the game.

Magic.dev LTM-2-Mini even reached 100 million tokens - enough to process entire codebases of massive projects.

What does this mean in practice? A model with a million tokens can read and remember:

• 750,000 words of text (about 10 books)
• Hours of conversation transcripts
• A codebase of tens of thousands of lines
• Hundreds of business documents

Comprehensive Comparison Table - April 2026 Update

HLE = Humanity's Last Exam - The hardest test ever created

Understanding the Benchmarks: What Are They Really Measuring?

GPQA Diamond (Graduate-level Physics Question Answering)

Physics, chemistry, and biology questions at a PhD level. A high score shows advanced scientific reasoning ability. Gemini 3.1 Pro leads with 91.9%, followed by Claude Opus 4.6 with 91.3% and GPT-5 with ~88%.

SWE-bench Verified

A real-world coding test: the model needs to fix real bugs from GitHub. Claude Sonnet 5 leads with 82.1% - meaning it can fix more than 4 out of 5 real bugs, and at a low price.

AIME 2025 (American Invitational Mathematics Examination)

Olympiad-level math problems for high school students. GPT-5 leads with 94.6%, and Grok 4 Heavy and Gemini 3.1 Pro achieved a perfect score of 100%.

Humanity's Last Exam

The newest and hardest test - multidisciplinary questions created specifically to test the boundaries of AI. Gemini 3.1 Pro leads with 45.8%, followed by Grok 4 Heavy with 44.4%.

ARC-AGI-2 (Abstraction and Reasoning Challenge)

Tests abstraction ability and learning of new skills. Grok 4 leads with 16.2% - almost double the competitors.

Chatbot Arena (LM Arena)

Ranking based on real user preferences in conversations. Gemini 3.1 Pro leads with a score of 1501, followed by Grok 4.1 with 1483.

Other Models Worth Knowing

Meta Llama 4 Scout & Maverick

Llama 4 Scout is the king of context windows with 10 million tokens - enough to analyze entire code libraries. Llama 4 Maverick offers one million tokens with impressive performance. Both are open source, allowing operation on private servers.

Llama 3.3 70B continues to be one of the best open models, with performance close to leading closed models.

Mistral Large 2

The French star shows impressive performance, especially in European languages. Mistral also offers small and cheap models (7B parameters) that run on modest hardware.

Alibaba Qwen3 Max

A Chinese model with 256K-1M tokens and excellent support for Asian languages. Also offers Qwen3-Coder for coding.

Cohere Command R+

Specifically optimized for RAG (Retrieval-Augmented Generation) and enterprise services. Excels at working with documents and organizational knowledge bases.

How to Choose the Right Model for Your Business?

The choice depends on what you want to achieve. Here is a practical updated guide:

For Customer Service and Chatbots

Gemini 3.1 Flash is the best choice. The combination of high speed, low cost, and multimodal capabilities (understanding images, voice, and video) makes it ideal for AI agents for customer service. Your customers will get fast and accurate answers, and your wallet will stay intact.

For Software Development and Automation

Claude Sonnet 5 is the new star! With 82.1% in SWE-bench - the highest score of any model - and at an 80% lower price than Opus, it's the perfect choice. If you are looking for an AI solution for development, Claude Sonnet 5 should be at the top of the list. Claude Opus 4.6 is suitable for exceptionally complex code tasks requiring deep thought.

For Agentic Coding and Development Automation

GPT-5.4 is the best choice for long-term autonomous coding tasks. With 75% in OSWorld and 57.7% in SWE-bench Pro, it leads in the ability to work independently in a computer environment. Claude Sonnet 5 with Dev Team mode is an excellent alternative.

For Mathematical and Research Analysis

GPT-5 with 94.6% in AIME 2025 and ~88% in PhD-level scientific reasoning - a clear leader. Claude Opus 4.6 with 91.3% in GPQA jumped significantly and is closing in. Gemini 3.1 Pro and Grok 4 Heavy also offer excellent performance.

For Complex and Innovative Reasoning

Grok 4 Heavy leads in Humanity's Last Exam with 44.4% (with tools). Gemini 3.1 Pro and Claude Opus 4.6 are close behind. For abstraction - Grok 4 leads in ARC-AGI-2.

For Writing Marketing Content

GPT-5 or Claude Sonnet 5 - both are excellent at creative and marketing writing. GPT tends to be more "creative", Claude more "professional and clean".

For Businesses with High Privacy Requirements

DeepSeek-R1, Llama 4, or Mistral - open AI models that can be run on private servers, without sending data to external providers.

For Optimal Cost-Benefit

Claude Sonnet 5, Gemini 3.1 Flash, or DeepSeek-V3.2 - all three offer excellent performance at an affordable price. Claude Sonnet 5 in particular - elite performance for 80% less than Opus! As we wrote in our article on The Economy of Virtual Agents, the importance of low cost per call increases as usage grows.

2026 Trends: What Is Already Happening and What Is Still Expected

Some of our predictions are already coming true, and there is news:

1. Autonomous Coding Agents ✅ Already Here!

GPT-5.4 and Claude Sonnet 5 with Dev Team mode make the dream a reality. Models that not only write code but research, plan, execute, and fix on their own. GPT-5.4 even helped develop itself.

2. Multi-Agent Systems ✅ Already Here!

Claude Opus 4.6 with Agent Teams and Grok 4 Heavy show that this is no longer a theory. AI teams working in parallel on complex problems. Claude Cowork (January 2026) brings this to a graphical interface as well.

3. Native Multimodality ✅ Already Here!

Gemini 3.1 Flash with Native Audio and Agentic Vision, Grok Imagine 1.0 for video creation - native multimodality is already a standard.

4. Adaptive Thinking 🆕

Claude Opus 4.6 introduced a new capability: the model decides for itself how deep to think depending on the question. Developers can tune the effort level (low, medium, high, max). This allows a perfect balance between speed and quality.

5. The Race to AGI 🔮

Grok 5 with 6 trillion parameters and a million GPUs aims directly at AGI. Elon Musk estimated a 10% chance. Even if it's too early - the very fact that it's being seriously discussed changes the conversation.

6. Local Models

Running on personal devices (phones, computers) to maintain privacy. Apple, Google, and Qualcomm continue to develop models that run without an internet connection.

7. Domain-Specific Models

Specific specialization in fields like medicine, law, finance, or real estate - a specialization that is only expected to deepen in 2026.

Conclusion: The Future Is Already Here - And April 2026 Proves It

The race between tech giants is accelerating more than ever. Early 2026 brought new models at record speed: Claude Sonnet 5, Claude Opus 4.6, and GPT-5.4. Meanwhile, Grok 5 is training with a million GPUs, and DeepSeek V4 is on the way.

The big leaps until April 2026:

• Coding: Claude Sonnet 5 breaks the 82% mark in SWE-bench - at a low price
• Agentic Coding: GPT-5.4 performs complex autonomous tasks with 75% in OSWorld
• Scientific Reasoning: Claude Opus 4.6 jumped to 91.3% in GPQA
• Mathematics: Grok 4 Heavy leads with 100% in AIME and GPT-5 with 94.6%
• Context Windows: 1M tokens became the standard in all leading models
• Autonomous Agents: Agent Teams, Dev Team mode, Multi-agent systems - are already a reality

The real wisdom is not just to choose the most powerful model, but to choose the model best suited for your needs. A model that is too expensive will eat into profitability. A model that is too weak will frustrate customers. The right balance is key.

And that is exactly what we at Whale Group do. We use only the most advanced models - Gemini, GPT, Claude, Grok, and DeepSeek - in all the solutions we build for clients. We are not tied to a single provider, and therefore can choose the optimal model for every task: Claude Sonnet 5 for cost-effective development, GPT-5.4 for code automation, Gemini 3.1 Flash for fast and cheap customer service, Claude Opus 4.6 for complex research tasks, Grok for innovative reasoning. Tech consulting based on a deep understanding of the true capabilities of each model.

Want to know which model is right for your business? Contact us for a free initial consultation.