Argon was officially introduced on September 30, 2026, with limited access for cybersecurity researchers. The current reports concern a broader rollout, potentially through Antigravity and developer APIs.
Reported signals:
- Argon configurations are appearing in Antigravity.
- Selected users are reportedly seeing A/B tests.
- Older models may be removed from Antigravity.
- Gemini 4 Flash could launch around the same time.
Google has not confirmed a public release date.
Technical Specifications
| Specification | Gemini 4 Argon | Gemini 3.1 Pro |
| Maximum output | Up to 1M tokens per trajectory | ~64K tokens |
| Input context | Not fully disclosed for public API | Up to 1M tokens |
| Multimodal | Yes | Yes |
| Reasoning | Long-horizon | Yes |
| Agentic coding | Core use case | Supported |
| Starting input price | $2 / 1M tokens | ~$2 / 1M tokens |
| Starting output price | $10 / 1M tokens | ~$12 / 1M tokens |
| Public availability | Limited | Broader availability |
The biggest change is the output limit. Gemini 3.1 Pro supports roughly 64K output tokens. Argon supports up to 1 million tokens per trajectory. For developers, that matters mainly for long-running agents.
The key upgrade is not “more text.” It is the ability to keep analysis, coding, testing and debugging inside a longer continuous run.
What Changes for Developers
Gemini 3.1 Pro already supports large context windows, tool use and coding. Argon is more focused on continuous execution.
Instead of splitting a task into separate requests:
- inspect repository;
- generate patch;
- run tests;
- inspect failures;
- generate another patch;
Argon is designed for:
analyze → edit → test → debug → repeat
This is the main difference for coding agents.
Coding Performance
Google reports 77.9% on DeepSWE v1.1. Argon has also been tested on large internal codebases. One project involved C/C++ to Rust migration across codebases exceeding 800,000 lines, including work related to Fuchsia's Zircon kernel.
Another involved Google's libgav1 AV1 decoder. Argon assisted with roughly 32,000 lines of SIMD-related code. Google says the resulting Rust implementation was about 2.7× faster than the previous Rust port. The target use case is repository-scale engineering, not isolated code generation.
Cybersecurity
Argon is also optimized for defensive security tasks:
- vulnerability discovery;
- exploitability analysis;
- patch generation;
- remediation.
Google reports 68% on CWE-bench v1. Cybersecurity researchers were among the first external users to receive access.
Benchmarks
| Benchmark | Gemini 4 Argon |
| DeepSWE v1.1 | 77.9% |
| AutomationBench | 51.3% |
| LVBench | 91.7% |
| CWE-bench v1 | 68% |
The more important real-world metrics will be tool-call reliability, latency, cost per completed task and stability over long agent runs.
Argon in Antigravity
Reported Antigravity configurations include:
- 256K context;
- 512K context;
- 900K context.
Reports also mention higher quota usage for larger modes, around 1.3× for 512K and 1.8× for 900K. These figures are not confirmed as final API limits.
Argon, Barium-B and Carbon
Several internal checkpoint names have appeared around Gemini 4. Barium-B is reportedly the checkpoint behind the current Argon model. Carbon is described as a newer internal checkpoint still being tested at Google. Carbon has not been announced as a commercial model.
What About Gemini 4 Flash?
Gemini 4 Flash has not been officially detailed. If Google follows its previous product structure, Flash would likely target lower latency, lower cost and high-volume API workloads. Specifications, pricing and release timing remain unconfirmed.
Gemini 4 Argon vs Gemini 3.1 Pro
| Area | Gemini 3.1 Pro | Gemini 4 Argon |
| Max output | ~64K | Up to 1M |
| Large context | Yes | Yes |
| Agent workflows | Supported | Primary focus |
| Coding | Strong | Repository-scale focus |
| Tool chains | Supported | Longer execution |
| Cybersecurity | General | Explicitly optimized |
| Output price | ~$12 / 1M | ~$10 / 1M |
Could It Roll Out Next Week?
Possibly, but Google has not confirmed the timing. The strongest signals are Antigravity testing, A/B access and reported cleanup of older model configurations.
The important distinction is that Gemini 4 Argon has already launched in limited form. The next step would be broader developer access.