Model comparison
Gemini 4 Argon vs Gemma 4 26B A4B (free)
Compare published model capabilities and API prices.
Gemini 4 Argon
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Goo
Gemma 4 26B A4B (free)
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — deli
| Metric | Gemini 4 Argon | Gemma 4 26B A4B (free) |
|---|---|---|
| Provider | ||
| Context window | 1,048,576 | 262,144 |
| Input $/Mtok | $2.00 | $0 |
| Output $/Mtok | $10.00 | $0 |
| Modalities | audio, text, vision, video | vision, text, video |
| License | unknown | open-weights |
Quick take
On input price, Gemma 4 26B A4B (free) is cheaper at $0/Mtok. For context window, Gemini 4 Argon leads with 1,048,576 tokens.
Pick based on your workload: high-volume cheap inference vs long-document / agent loops. Enterprise DNA can wire either model into Omni with evals, secrets, and job orchestration.