Gemini 4 Argon vs Ling 3.1 Flash: Specs & Benchmark Comparison
Gemini 4 Argon is developed by Google, while Ling 3.1 Flash comes from InclusionAI. Both were released in September 2026. Ling 3.1 Flash has a published size of about 560 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 Terminal-Bench 4.0, where Gemini 4 Argon scores 57.4% against 40.4%; AutomationBench, where Ling 3.1 Flash scores 52.5% against 51.3%. Averaged across everything we track, Gemini 4 Argon sits at 67.3% and Ling 3.1 Flash at 65.0%.
| Characteristic | Gemini 4 Argon | Ling 3.1 Flash |
|---|---|---|
| Company | InclusionAI | |
| Release Date | September 30, 2026 | September 30, 2026 |
| Parameters | — | 560B |
| Multimodal | Yes | No |
| Average Score | 67.3% | 65.0% |
| Benchmarks | ||
| Terminal-Bench 4.0 | 57.4% | 40.4% |
| AutomationBench | 51.3% | 52.5% |
Visual Benchmark Comparison
Verdict
Both models show equal results — the choice depends on your specific use case.
Both models show comparable average scores: Gemini 4 Argon — 0.7, Ling 3.1 Flash — 0.6.
Both models were released around the same time: 9/30/2026 and 9/30/2026.
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Frequently Asked Questions
Which is better for coding — Gemini 4 Argon or Ling 3.1 Flash?
Which model is cheaper — Gemini 4 Argon or Ling 3.1 Flash?
Which has a larger context window — Gemini 4 Argon or Ling 3.1 Flash?
The Gemini 4 Argon and Ling 3.1 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 Ling 3.1 Flash page. See also the complete list of AI model comparisons.