Gemini 4 Argon or Claude Sonnet 5.5?
Choose Gemini 4 Argon for multi-agent persistent workspaces, massive 2M multimodal inputs, and built-in sandbox code execution. Choose Claude Sonnet 5.5 for rapid repository-scale refactoring in Claude Code and proven desktop computer control.
Multi-modal reasoning, native sandbox execution and 2M context
Sub-second coding velocity and desktop computer use in Claude Code
Gemini 4 Argon
Google DeepMind's flagship model for persistent multi-agent orchestration and sustained reasoning.
Official specification ↗Claude Sonnet 5.5
Anthropic's workhorse model with enhanced computer use and sub-second token generation.
Official specification ↗Side-by-side comparison
| Category | Gemini 4 Argon | Claude Sonnet 5.5 |
|---|---|---|
| Primary focus | Multimodal agent orchestration | Agentic coding and computer use |
| Standard input / 1M tokens | $4 | $2 |
| Standard output / 1M tokens | $18 | $10 |
| Cached input / 1M tokens | $0.40 | $0.20 |
| Active context window | 2,000,000 tokens | 500,000 tokens |
| Maximum output | 128,000 tokens | 128,000 tokens |
| Input modalities | Text, image, audio, video | Text and image |
| Specialized capabilities | Native container execution & web grounding | Desktop UI control & Claude Code CLI |
| Best fit | Data-heavy multimodal workflows | Software engineering teams |
| Company | Anthropic | |
| Product category | Model · Multimodal frontier model | Model · Balanced reasoning model |
| Current pricing note | $4 input, $0.40 cached input and $18 output per 1M tokens | $2 input, $0.20 cache read and $10 output per 1M tokens |
| Best suited to | Multi-agent systems, deep technical research and multimodal repository analysis | Full-stack software development, automated UI testing and production agent workflows |
| Key capabilities | 2M native multimodal context; Native sandbox code execution; Persistent workspace sessions; Agent orchestration | Sub-second latency; Enhanced desktop computer use; 500K context; Claude Code default |
| Last verified | 2026-10-15 | 2026-10-15 |
| Official product source | https://ai.google.dev/gemini-api/docs/models/gemini-4-argon | https://platform.claude.com/docs/en/models/sonnet-5-5/overview |
How we reached this verdict
We looked at the things that affect everyday use: what each product can do, how its plans are structured, where it fits into your existing workflow, and what the provider currently documents. Benchmark results are useful context, but they are not a universal winner score because test settings and tools vary.
Common questions
Gemini 4 Argon or Claude Sonnet 5.5: which should I choose?
Choose Gemini 4 Argon for multi-modal reasoning, native sandbox execution and 2m context. Choose Claude Sonnet 5.5 for sub-second coding velocity and desktop computer use in claude code. Validate the decision with your own prompts and total task cost.
Is Gemini 4 Argon cheaper than Claude Sonnet 5.5?
Pricing units can differ. Gemini 4 Argon: $4 input, $0.40 cached input and $18 output per 1M tokens. Claude Sonnet 5.5: $2 input, $0.20 cache read and $10 output per 1M tokens. Check tool charges, plan limits, caching and long-context rules before comparing totals.
Which is better for coding and agent work?
Capability depends on the selected product surface, tools and harness. Gemini 4 Argon is positioned for multi-agent systems, deep technical research and multimodal repository analysis; Claude Sonnet 5.5 is positioned for full-stack software development, automated ui testing and production agent workflows. Run the same repository task on both.
How do their context windows compare?
Gemini 4 Argon lists 2M tokens; Claude Sonnet 5.5 lists 500K tokens. A larger limit does not by itself guarantee better retrieval or lower cost.
Official sources
Use these provider pages to confirm current features, pricing and availability.
AI tools change quickly. We checked this page on 2026-10-15. Before you subscribe, confirm the latest price, regional availability and usage limits on the provider website.