- Score
- 9.4 (-0.18 points)
- Total Cost (Current Price)
- $0.183 · 89.9% cheaper
- Response Time (avg)
- 6.24s · 67.2% faster
Summary
Gemini 4 Argon scores 9.5 on AI BENCHY and ranks #17. It has 9.9 reliability, a 97.1% pass rate, $1.802 total cost, and 19.03s average response time.
What makes Gemini 4 Argon unique: It stands out most in Domain specific, where it ranks #1, while Combined is its weakest area at #17.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 9.6 (+0.01 points)
- Total Cost (Current Price)
- $0.460 · 74.5% cheaper
- Response Time (avg)
- 7.15s · 62.4% faster
- Score
- 9.8 (+0.25 points)
- Total Cost (Current Price)
- $0.577 · 68.0% cheaper
- Response Time (avg)
- 14.03s · 26.3% faster
Model facts
Researched on 2026-10-13
- Parameters
- ~1.2T total (~20B active)
- Architecture
- MoE
- Availability
- Closed
- License
- -
Best estimate from public evidence; the vendor did not disclose every value. Google does not disclose parameter counts or dense-versus-MoE architecture for this exact checkpoint. The 1.2T total / 20B active MoE values are a provisional, low-confidence catalog estimate carried from the Gemini Pro family; they are not vendor-reported or measured Argon specifications. Exact checkpoint is API-only, with no official downloadable weights or checkpoint license found. OpenRouter declares mandatory reasoning with low, medium and high efforts, medium default and a 1,048,576-token context. Its model catalog lists a 65,536-token top-provider output limit; individual Google AI Studio endpoints advertise 943,718 tokens. Google describes a 1M output limit for its own offering; provider-specific limits still apply. The fallback release date records this onboarding request date.
9.5
Consistency
9.3
9.9
$1.802
Total Output Tokens
132,073
Total Input Tokens
240,264
Input Price
$2.000 / 1M
Output Price
$10.000 / 1M
Cache Read Price
$0.100 / 1M
Cache Write Price
$0.188 / 1M
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Flaky tests
2
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#17 Gemini 4 Argon
high- Cost
- $0.173
- Time
- 141.5s
- Tokens
- 17,366 tok
Charts
Choose the first model, then click a second model to open a side-by-side page.
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Quick Compare
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 10.0 | 10.0 | |
| Anti-AI Tricks | 10.0 | 10.0 | |
| Coding | 10.0 | 10.0 | |
| Combined | 7.3 | 5.8 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 8.2 | 7.2 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 10.0 | 10.0 | |
| Puzzle Solving | 10.0 | 10.0 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 10.0 | 10.0 |