Gemini 3.8 Flash
7 benchmark results for this configuration
AI model Released
A cross-benchmark capability estimate. Index points, not a percentage; intervals show uncertainty.
Overall text preferences from head-to-head votes. Not factual accuracy or a task-success rate.
Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.
1,550.45 rating
Confidence interval: 1,540.12 – 1,560.77
3978 votes
1,509.19 rating
Confidence interval: 1,502.58 – 1,515.80
12376 votes
1,491.18 rating
Confidence interval: 1,483.87 – 1,498.48
10581 votes
1,498.26 rating
Confidence interval: 1,492.42 – 1,504.11
18714 votes
1,514.33 rating
Confidence interval: 1,508.43 – 1,520.23
35338 votes
1,526.24 rating
Confidence interval: 1,517.42 – 1,535.06
5549 votes
1,494.43 rating
Confidence interval: 1,478.25 – 1,510.61
1682 votes
1,506.58 rating
Confidence interval: 1,484.40 – 1,528.76
760 votes
1,508.28 rating
Confidence interval: 1,503.01 – 1,513.55
30731 votes
1,504.12 rating
Confidence interval: 1,497.52 – 1,510.72
12039 votes
1,480.11 rating
Confidence interval: 1,472.72 – 1,487.50
8607 votes
1,481.29 rating
Confidence interval: 1,474.48 – 1,488.09
12638 votes
1,499.53 rating
Confidence interval: 1,489.40 – 1,509.65
4087 votes
1,523.36 rating
Confidence interval: 1,515.72 – 1,531.01
7897 votes
1,519.09 rating
Confidence interval: 1,507.34 – 1,530.84
2891 votes
1,506.18 rating
Confidence interval: 1,494.91 – 1,517.45
3353 votes
1,506.57 rating
Confidence interval: 1,500.64 – 1,512.51
17809 votes
1,495.22 rating
Confidence interval: 1,488.61 – 1,501.83
13501 votes
1,492.67 rating
Confidence interval: 1,486.59 – 1,498.76
17179 votes
1,508.38 rating
Confidence interval: 1,485.95 – 1,530.80
887 votes
1,477.06 rating
Confidence interval: 1,454.55 – 1,499.56
844 votes
1,508.56 rating
Confidence interval: 1,502.69 – 1,514.44
21802 votes
1,529.90 rating
Confidence interval: 1,517.42 – 1,542.38
2496 votes
1,503.67 rating
Confidence interval: 1,495.63 – 1,511.70
7190 votes
1,491.50 rating
Confidence interval: 1,486.21 – 1,496.79
29077 votes
1,498.49 rating
Confidence interval: 1,494.06 – 1,502.92
47803 votes
1,499.46 rating
Confidence interval: 1,476.98 – 1,521.95
692 votes
1,516.41 rating
Confidence interval: 1,507.90 – 1,524.91
6256 votes
1,486.98 rating
Confidence interval: 1,471.52 – 1,502.44
1649 votes
Closed weights. No supported local deployment or GPU requirement is published.
Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.
| Provider / scope | Rate | Currency | Amount / unit |
|---|---|---|---|
| GoogleGemini 3.8 FlashStandard | Cached input | USD | 0.075 / 1M tokens |
| Input | USD | 0.75 / 1M tokens | |
| Output | USD | 3.75 / 1M tokens | |
| Google Vertex AIGemini 3.8 FlashBatch Token tier: 0 – 200,000 | Cached input | USD | 0.0375 / 1M tokens |
| Input | USD | 0.375 / 1M tokens | |
| Output | USD | 1.875 / 1M tokens | |
| Google Vertex AIGemini 3.8 FlashBatch Token tier: 200,000 – No stated upper limit | Cached input | USD | 0.0375 / 1M tokens |
| Input | USD | 0.375 / 1M tokens | |
| Output | USD | 1.875 / 1M tokens | |
| Google Vertex AIGemini 3.8 FlashStandard Token tier: 0 – 200,000 | Cached input | USD | 0.075 / 1M tokens |
| Input | USD | 0.75 / 1M tokens | |
| Output | USD | 3.75 / 1M tokens | |
| Google Vertex AIGemini 3.8 FlashStandard Token tier: 200,000 – No stated upper limit | Cached input | USD | 0.075 / 1M tokens |
| Input | USD | 0.75 / 1M tokens | |
| Output | USD | 3.75 / 1M tokens |
* Provisional data