#25 Gemini 3.5 Flash
minimal- Cost
- $0.041
- Time
- 20.4s
- Tokens
- 4,608 tok
Google
Release: 2026-05-19
Tested on: 2026-05-22 00:28
google/gemini-3.5-flash::minimal
~500B total (~20B active)MoEClosedEstimated
Summary
Gemini 3.5 Flash scores 7.9 on AI BENCHY and ranks #25. It has 10.0 reliability, a 71.7% pass rate, $0.103 total cost, and 1.58s average response time.
What makes Gemini 3.5 Flash unique: It stands out most in Domain specific, where it ranks #1, while Anti-AI Tricks is its weakest area at #18. Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.
Model facts
Researched on 2026-08-12
- Parameters
- ~500B 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.
7.9
Consistency
9.6
10.0
$0.103
Total Output Tokens
5,271
Total Input Tokens
0
Input Price
$1.500 / 1M
Output Price
$9.000 / 1M
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.
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-08-14 02:46 Re-test | 6.7 | 10.0 | $0.300 | Compare | |
| 2026-07-16 22:54 New test added | 6.8 | 10.0 | $0.300 | Compare | |
| 2026-06-04 14:01 New test added | 7.7 | 10.0 | $0.108 | Compare | |
| 2026-05-22 00:28 Suite changed | 7.9 | 10.0 | $0.103 | Current run | |
| 2026-05-19 23:35 Initial run | 8.1 | 10.0 | $0.070 | Compare |
This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-05-22 00:28 · Suite changed | 60/60 attempts | 7.9 | 9.6 | 10.0 | 14/20 | 1 | 5,271 | 0 | $0.103 | 1.58s |
| 2026-08-14 02:46 · Re-test | 66/66 attempts | 6.7 | 9.6 | 10.0 | 13/22 | 1 | 16,454 | 100,762 | $0.300 | 2.65s |
| Difference | — | +1.2 | 0.0 | 0.0 | +1 | 0 | -11183 | -100762 | -$0.197 | -1069ms |
Benchmark coverage differs: 60/60 attempts (Target: 3 repeats per test) versus 66/66 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.
These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.
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
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Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Anti-AI Tricks | 6.5 | 10.0 | |
| Coding | 7.0 | 9.8 | |
| Combined | 3.0 | 10.0 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 10.0 | 10.0 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 6.4 | 5.8 | |
| Puzzle Solving | 10.0 | 10.0 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |