- Score
- 9.4 (+0.40 points)
- Total Cost (Current Price)
- $0.183 · 72.9% cheaper
- Response Time (avg)
- 6.24s · 5.9% faster
Google
Release: 2026-10-13
Tested on: 2026-10-13 17:42
google/gemini-4-argon::medium
~1.2T total (~20B active)MoEClosedEstimated
Summary
Gemini 4 Argon scores 9.0 on AI BENCHY and ranks #47. It has 10.0 reliability, a 84.1% pass rate, $0.674 total cost, and 6.63s average response time.
What makes Gemini 4 Argon unique: It stands out most in Domain specific, where it ranks #3, while Combined is its weakest area at #17. It is notably fast compared with similar models.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 9.6 (+0.60 points)
- Total Cost (Current Price)
- $0.460 · 31.8% cheaper
- Response Time (avg)
- 7.15s · 7.8% slower
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.
9.0
Consistency
9.6
10.0
$0.674
Total Output Tokens
24,283
Total Input Tokens
215,326
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
1
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.
#47 Gemini 4 Argon
medium- Cost
- $0.053
- Time
- 43.0s
- Tokens
- 5,348 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
Gemini 4 ArgonmediumvsGemini 3.5 Flash LitehighGemini 4 ArgonmediumvsClaude Opus 5lowGemini 4 ArgonmediumvsMuse Spark 1.3mediumGemini 4 ArgonmediumvsGemini 3.6 FlashlowGemini 4 ArgonmediumvsQwen3.8 Max (0902)mediumGemini 4 ArgonmediumvsGLM 5.3 FlashmaxGemini 4 ArgonmediumvsGemini 3.5 FlashlowGemini 4 ArgonmediumvsMuse Spark 1.2highGemini 4 ArgonmediumvsMuse WonderminimalGemini 4 ArgonmediumvsMuse Spark 1.2medium
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 | 6.4 | 5.8 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 5.3 | 10.0 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 10.0 | 10.0 | |
| Puzzle Solving | 10.0 | 10.0 | |
| Tool Calling | 9.8 | 10.0 | |
| Trivia | 3.0 | 10.0 |