ChatGPT vs Gemini
Right now ChatGPT's flagship model is GPT-6 Astra and Gemini's is Gemini 4 Argon.
We pick flagships the same way as our subscription guide: the model with the highest overall score among those you can use on the plans. It changes when a new model comes out.
GPT-6 Astra is OpenAI's model for extended work involving computers, browsers, complex code and source material. OpenAI describes improvements over the preceding Sol in professional tasks, tool use and adherence to assigned scope, emphasizing continued execution after reviewing evidence. Connected runtimes provide software operation and file creation, combining the model's decisions about changes with external tools that carry them out. Development, research and document production can therefore form a workflow spanning applications, from gathering information through revising deliverables and checking results. The model detail page's specifications and evaluation analysis cover context and output limits, reasoning settings, computer-use and tool-call conditions, code repair, document analysis and multi-step automation.
Gemini 4 Argon is Google's model for software development, long-document analysis and multi-step work involving text and visual material. Google says it expands the output available over earlier Gemini models, giving extended tasks more room for deliberation and finished deliverables. The company highlights code changes, specialist analysis and work across tools, alongside defenses against malicious instructions and actions outside the assigned scope. The combination connects extended deliberation with tool-driven changes and deliverable creation. Consult the model detail page's detailed specifications and evaluation analysis for context and output limits, reasoning settings, tool-call support, specialist document analysis and code repair.
GPT-6 Astra is OpenAI's model for extended work involving computers, browsers, complex code and source material. OpenAI describes improvements over the preceding Sol in professional tasks, tool use and adherence to assigned scope, emphasizing continued execution after reviewing evidence. Connected runtimes provide software operation and file creation, combining the model's decisions about changes with external tools that carry them out. Development, research and document production can therefore form a workflow spanning applications, from gathering information through revising deliverables and checking results. The model detail page's specifications and evaluation analysis cover context and output limits, reasoning settings, computer-use and tool-call conditions, code repair, document analysis and multi-step automation.
Gemini 4 Argon is Google's model for software development, long-document analysis and multi-step work involving text and visual material. Google says it expands the output available over earlier Gemini models, giving extended tasks more room for deliberation and finished deliverables. The company highlights code changes, specialist analysis and work across tools, alongside defenses against malicious instructions and actions outside the assigned scope. The combination connects extended deliberation with tool-driven changes and deliverable creation. Consult the model detail page's detailed specifications and evaluation analysis for context and output limits, reasoning settings, tool-call support, specialist document analysis and code repair.
Top 10 models in the overall ranking
Updated 2026-11-08| Rank | Model | Overall | Automation | Docs & office | Coding | Cost (per 1M tokens) | Output speed |
|---|---|---|---|---|---|---|---|
| 🥇 | — | 92.1 tok/s | |||||
| 🥈 | $16.00 | 78.5 tok/s | |||||
| 🥉 | $40.00 | 65.0 tok/s | |||||
| 4 | $40.00 | 56.0 tok/s | |||||
| 5 | $8.00 | 35.0 tok/s | |||||
| 6 | $40.00 | 36.5 tok/s | |||||
| 7 | — | $8.00 | 41.5 tok/s | ||||
| 8 | — | $16.00 | 92.0 tok/s | ||||
| 9 | $3.50 | 96.0 tok/s | |||||
| 10 | $20.00 | 65.0 tok/s |
Latest AI model comparisons
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- ClaudeClaude Opus 5.54.5vsGrokGrok 4.63.0
- GeminiGemini 4 Argon4.0vsGrokGrok 4.63.0
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