Latest AI Models Comparison: GPT-5.3, Gemini 3, Claude Opus 4.6
As of February 2026, OpenAI's GPT-5.3, Google's Gemini 3, and Anthropic's Claude Opus 4.6 lead. How the top LLMs compare on coding, reasoning, and cost.
The top AI models in February 2026 are OpenAI’s GPT-5.3 (including the GPT-5.3-Codex coding variant), Google’s Gemini 3 (Pro and Flash), and Anthropic’s Claude Opus 4.6. Each leads on different benchmarks and use cases. Here’s a comparison using current model names and recent release data.
OpenAI: GPT-5.3 and GPT-5.3-Codex
GPT-5.3-Codex launched February 5, 2026. It is OpenAI’s latest in the GPT-5 line and the first to merge the Codex and GPT-5 training stacks into one model. OpenAI reports it is about 25% faster than GPT-5.2-Codex and reaches state-of-the-art on SWE-Bench Pro and Terminal-Bench 2.0 while using fewer tokens. It is built for long-running agentic coding tasks: research, tool use, and execution while keeping context. GPT-5.3-Codex became generally available in GitHub Copilot on February 9, 2026, for Copilot Pro, Pro+, Business, and Enterprise users.
| Model | Role | Notes |
|---|---|---|
| GPT-5.3 | Latest flagship line | General + coding |
| GPT-5.3-Codex | Agentic coding | SWE-Bench Pro, Terminal-Bench 2.0; 25% faster than 5.2-Codex |
Anthropic: Claude Opus 4.6
Claude Opus 4.6 shipped February 5, 2026. Anthropic positions it as the top model for coding, agents, and enterprise. It adds a 1M token context window (beta) for Opus for the first time, and improves code review, debugging, and performance in large codebases. Opus 4.6 also introduces agent teams: multiple AI agents that coordinate on complex projects.
Reported benchmarks include top score on Terminal-Bench 2.0, best on “Humanity’s Last Exam” (multidisciplinary reasoning), and roughly +144 Elo over GPT-5.2 on GDPval-AA (economically valuable knowledge work). In security research, Opus 4.6 was reported to have found 500+ previously unknown zero-days in open-source code with minimal prompting. It is available on Claude (Pro, Max, Team, Enterprise), the Claude Developer Platform, Amazon Bedrock, Google Vertex AI, and Microsoft Foundry. Pricing is in the range of $5 per million input tokens and $25 per million output tokens.
Google: Gemini 3
Gemini 3 was announced in November 2025 and is Google’s current top tier. Gemini 3 Pro has a 1M token context window and targets multimodal understanding and complex problem-solving, including agentic workflows and autonomous coding. Gemini 3 Flash is the faster, scaled option with strong multimodal and coding performance. Gemini 3 Deep Think, for harder reasoning tasks, is planned for Ultra subscribers.
| Model | Focus |
|---|---|
| Gemini 3 Pro | Multimodal, 1M context, agentic coding |
| Gemini 3 Flash | Speed, multimodal, coding |
| Gemini 3 Deep Think | Deep reasoning (coming) |
Quick Comparison Table
| Provider | Latest model (Feb 2026) | Standout |
|---|---|---|
| OpenAI | GPT-5.3 / GPT-5.3-Codex | Coding agents, SWE-Bench Pro, Terminal-Bench 2.0; in Copilot |
| Anthropic | Claude Opus 4.6 | 1M context (beta), agent teams, Terminal-Bench 2.0, GDPval-AA |
| Gemini 3 Pro / Flash | 1M context, multimodal, Deep Think (coming) |
What to Pick
Use GPT-5.3 / GPT-5.3-Codex for agentic coding and integration with GitHub Copilot. Use Claude Opus 4.6 for large-context analysis, agent teams, and strong coding and reasoning benchmarks. Use Gemini 3 for multimodal tasks and Google ecosystem. All three are actively updated; check official docs and pricing for the latest as of February 2026.
Tags
Sources
- https://openai.com/index/introducing-gpt-5-3-codex
- https://github.blog/changelog/2026-02-09-gpt-5-3-codex-is-now-generally-available-for-github-copilot
- https://www.anthropic.com/news/claude-opus-4-6
- https://blog.google/products/gemini/gemini-3
- https://deepmind.google/models/gemini/
- https://azure.microsoft.com/en-us/blog/claude-opus-4-6-anthropics-powerful-model-for-coding-agents-and-enterprise-workflows-is-now-available-in-microsoft-foundry-on-azure
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