Gemini 3.7 Flash
8 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.
1,553.60 rating
Confidence interval: 1,541.07 – 1,566.12
2547 votes
1,499.83 rating
Confidence interval: 1,492.54 – 1,507.12
8739 votes
1,487.44 rating
Confidence interval: 1,479.17 – 1,495.71
7129 votes
1,484.76 rating
Confidence interval: 1,478.51 – 1,491.02
12850 votes
1,501.36 rating
Confidence interval: 1,495.24 – 1,507.47
24023 votes
1,514.02 rating
Confidence interval: 1,503.69 – 1,524.35
3683 votes
1,495.40 rating
Confidence interval: 1,475.69 – 1,515.12
1044 votes
1,515.02 rating
Confidence interval: 1,487.91 – 1,542.13
491 votes
1,497.28 rating
Confidence interval: 1,491.83 – 1,502.72
20996 votes
1,488.68 rating
Confidence interval: 1,481.33 – 1,496.03
8413 votes
1,480.37 rating
Confidence interval: 1,471.92 – 1,488.83
5821 votes
1,475.44 rating
Confidence interval: 1,467.81 – 1,483.07
8563 votes
1,497.27 rating
Confidence interval: 1,485.15 – 1,509.39
2688 votes
1,511.28 rating
Confidence interval: 1,502.55 – 1,520.02
5367 votes
1,501.19 rating
Confidence interval: 1,487.55 – 1,514.84
2013 votes
1,497.35 rating
Confidence interval: 1,484.28 – 1,510.43
2309 votes
1,499.14 rating
Confidence interval: 1,492.76 – 1,505.52
12292 votes
1,490.21 rating
Confidence interval: 1,482.81 – 1,497.62
9004 votes
1,485.79 rating
Confidence interval: 1,479.12 – 1,492.45
11603 votes
1,513.89 rating
Confidence interval: 1,486.65 – 1,541.12
546 votes
1,484.47 rating
Confidence interval: 1,458.43 – 1,510.51
586 votes
1,494.09 rating
Confidence interval: 1,487.82 – 1,500.36
14825 votes
1,507.13 rating
Confidence interval: 1,492.44 – 1,521.81
1676 votes
1,484.86 rating
Confidence interval: 1,475.61 – 1,494.11
4935 votes
1,485.73 rating
Confidence interval: 1,480.16 – 1,491.30
19427 votes
1,489.12 rating
Confidence interval: 1,484.46 – 1,493.78
32289 votes
1,504.25 rating
Confidence interval: 1,477.54 – 1,530.97
496 votes
1,513.16 rating
Confidence interval: 1,503.27 – 1,523.05
4131 votes
1,489.03 rating
Confidence interval: 1,469.74 – 1,508.32
1028 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 3.7 FlashStandard | Cached input | USD | 0.075 / 1M tokens |
| Input | USD | 0.75 / 1M tokens | |
| Output | USD | 3.75 / 1M tokens | |
| Google Vertex AIGemini 3.7 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 3.7 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 3.7 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 3.7 FlashStandard | Cached input | USD | 0.15 / 1M tokens |
| Input | USD | 1.5 / 1M tokens | |
| Output | USD | 7.5 / 1M tokens | |
| Google Vertex AIGemini 3.7 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