Gemini 4 Argon vs Qwen3.8-27B: Specs & Benchmark Comparison
Gemini 4 Argon is developed by Google, while Qwen3.8-27B comes from Alibaba. Qwen3.8-27B was released in August 2026, and Gemini 4 Argon followed a month later in September 2026. Qwen3.8-27B has a published size of about 28 billion parameters; Google has not disclosed the parameter count of Gemini 4 Argon.
The two models share 2 published benchmarks. They split them evenly, 1 to 1. The widest gaps are on DeepSWE 1.1, where Gemini 4 Argon scores 77.9% against 42.2%; Agents' Last Exam, where Qwen3.8-27B scores 42.9% against 39.5%. Averaged across everything we track, Gemini 4 Argon sits at 67.3% and Qwen3.8-27B at 66.3%.
| Characteristic | Gemini 4 Argon | Qwen3.8-27B |
|---|---|---|
| Company | Alibaba | |
| Release Date | September 30, 2026 | August 14, 2026 |
| Parameters | — | 28B |
| Multimodal | Yes | Yes |
| Average Score | 67.3% | 66.3% |
| Benchmarks | ||
| DeepSWE 1.1 | 77.9% | 42.2% |
| Agents' Last Exam | 39.5% | 42.9% |
Visual Benchmark Comparison
Verdict
Gemini 4 Argon leads in 1 out of 2 comparison categories.
Both models show comparable average scores: Gemini 4 Argon — 0.7, Qwen3.8-27B — 0.7.
Gemini 4 Argon is newer: released 9/30/2026 vs 8/14/2026.
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Frequently Asked Questions
Which is better for coding — Gemini 4 Argon or Qwen3.8-27B?
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The Gemini 4 Argon and Qwen3.8-27B 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 Qwen3.8-27B page. See also the complete list of AI model comparisons.