Atria Dawn Preview vs MAI-Code-1.1-Flash: Specs & Benchmark Comparison
Atria Dawn Preview is developed by Shanghai AI Laboratory, while MAI-Code-1.1-Flash comes from Microsoft. MAI-Code-1.1-Flash was released in August 2026, and Atria Dawn Preview followed a month later in September 2026. Atria Dawn Preview is the larger model at roughly 744 billion parameters, against 138 billion for MAI-Code-1.1-Flash.
We have 12 benchmark results for Atria Dawn Preview and 2 benchmark results for MAI-Code-1.1-Flash, but they overlap on a single test: Terminal-Bench 2.1, where Atria Dawn Preview scores 78.3% against 62.9%.
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 Atria Dawn Preview, so pricing and context cannot be compared directly.
| Characteristic | Atria Dawn Preview | MAI-Code-1.1-Flash |
|---|---|---|
| Company | Shanghai AI Laboratory | Microsoft |
| Release Date | September 11, 2026 | August 11, 2026 |
| Parameters | 744B | 138B |
| Multimodal | No | Yes |
| Context (input) | — | 256K |
| Input Price / 1M | — | $0.20 |
| Output Price / 1M | — | $1.20 |
| Average Score | 72.7% | 67.8% |
| Benchmarks | ||
| Terminal-Bench 2.1 | 78.3% | 62.9% |
Visual Benchmark Comparison
Verdict
Atria Dawn Preview leads in 1 out of 2 comparison categories.
Both models show comparable average scores: Atria Dawn Preview — 0.7, MAI-Code-1.1-Flash — 0.7.
Atria Dawn Preview is newer: released 9/11/2026 vs 8/11/2026.
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Frequently Asked Questions
Which is better for coding — Atria Dawn Preview or MAI-Code-1.1-Flash?
Which model is cheaper — Atria Dawn Preview or MAI-Code-1.1-Flash?
Which has a larger context window — Atria Dawn Preview or MAI-Code-1.1-Flash?
The Atria Dawn Preview 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 Atria Dawn Preview or MAI-Code-1.1-Flash page. See also the complete list of AI model comparisons.