Gemini 4 Argon vs MAI-Code-1.1-Flash: Specs & Benchmark Comparison
Gemini 4 Argon is developed by Google, while MAI-Code-1.1-Flash comes from Microsoft. MAI-Code-1.1-Flash was released in August 2026, and Gemini 4 Argon followed a month later in September 2026. MAI-Code-1.1-Flash has a published size of about 138 billion parameters; Google has not disclosed the parameter count of Gemini 4 Argon.
We have 19 benchmark results for Gemini 4 Argon and 2 benchmark results for MAI-Code-1.1-Flash, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
MAI-Code-1.1-Flash is available through an API at $0.20 per million input tokens with a 256K-token context window. We do not track a hosted API for Gemini 4 Argon, so pricing and context cannot be compared directly.
| Characteristic | Gemini 4 Argon | MAI-Code-1.1-Flash |
|---|---|---|
| Company | Microsoft | |
| Release Date | September 30, 2026 | August 11, 2026 |
| Parameters | — | 138B |
| Multimodal | Yes | Yes |
| Context (input) | — | 256K |
| Input Price / 1M | — | $0.20 |
| Output Price / 1M | — | $1.20 |
| Average Score | 67.3% | 67.8% |
Verdict
Gemini 4 Argon leads in 1 out of 2 comparison categories.
Both models show comparable average scores: Gemini 4 Argon — 0.7, MAI-Code-1.1-Flash — 0.7.
Gemini 4 Argon is newer: released 9/30/2026 vs 8/11/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — Gemini 4 Argon or MAI-Code-1.1-Flash?
Which model is cheaper — Gemini 4 Argon or MAI-Code-1.1-Flash?
Which has a larger context window — Gemini 4 Argon or MAI-Code-1.1-Flash?
The Gemini 4 Argon and MAI-Code-1.1-Flash comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 4 Argon or MAI-Code-1.1-Flash page. See also the complete list of AI model comparisons.