Gemini 4 Argon vs Ling 3.0 Flash: Specs & Benchmark Comparison

Gemini 4 Argon is developed by Google, while Ling 3.0 Flash comes from InclusionAI. Ling 3.0 Flash was released in August 2026, and Gemini 4 Argon followed a month later in September 2026. Ling 3.0 Flash has a published size of about 124 billion parameters; Google has not disclosed the parameter count of Gemini 4 Argon.

We have 19 benchmark results for Gemini 4 Argon and 19 benchmark results for Ling 3.0 Flash, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Ling 3.0 Flash is available through an API at $0.06 per million input tokens with a 131K-token context window. We do not track a hosted API for Gemini 4 Argon, so pricing and context cannot be compared directly.

CharacteristicGemini 4 ArgonLing 3.0 Flash
CompanyGoogleInclusionAI
Release DateSeptember 30, 2026August 4, 2026
Parameters—124B
MultimodalYesNo
Context (input)—131K
Context (output)—131K
Input Price / 1M—$0.06
Output Price / 1M—$0.18
Average Score67.3%68.5%

Verdict

Gemini 4 Argon leads in 1 out of 2 comparison categories.

Overall Performance

Both models show comparable average scores: Gemini 4 Argon — 0.7, Ling 3.0 Flash — 0.7.

Recency

Gemini 4 Argon is newer: released 9/30/2026 vs 8/4/2026.

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Frequently Asked Questions

Which is better for coding — Gemini 4 Argon or Ling 3.0 Flash?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Gemini 4 Argon or Ling 3.0 Flash?
API pricing data is available on the individual model pages.
Which has a larger context window — Gemini 4 Argon or Ling 3.0 Flash?
Context window data is available on the individual model pages.

The Gemini 4 Argon and Ling 3.0 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 3.0 Flash page. See also the complete list of AI model comparisons.