Google
RankedEnough results for an index.Gemini 3 Flash
Gemini 3 Flash is a standard model from Google. 21 benchmarks count toward its index, in 7 categories.
IndexAll categories, out of 100.55.0±4.0Median 51.0
CoverageIndex weight that has results.95%
SpeedOutput tokens per second.198/sMedian 67/s
First tokenSeconds to the first output token.0.9 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.50Median $0.60
Output / 1MUS dollars per 1M output tokens.$3.00Median $2.55
ContextMaximum tokens in one request.1MMedian 262K
EloLMArena rating and rank.1466±4 #37Median 1422
Capabilities
Index per category, out of 100.Results
21 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
ParseBench: document parsing for AI agents (LlamaIndex leaderboard)MultimodalAbove fitFar above this model's index.74.1%4 / 39
Sources
BenchLMCC BY-NC 4.0Epoch AICC BYSierra ResearchMITSWE-bench teamNo licence statedHistory
5 releases23 Oct 202612 Nov 2026
23 Oct 202612 Nov 2026
Questions
- How much does Gemini 3 Flash cost?
- $0.50 per 1M input tokens, $3.00 per 1M output tokens.
- How good is Gemini 3 Flash?
- Its index is 55.0 out of 100. That is place 103 of 283 ranked models.
- What is Gemini 3 Flash best at?
- Multimodal: 67.3 out of 100, place 16 of 84.
- How fast is Gemini 3 Flash?
- 198 output tokens per second, 0.9 s to the first token.
- What is the context window of Gemini 3 Flash?
- 1M tokens.
- Is Gemini 3 Flash open source?
- No. Its weights are not published.
- When was Gemini 3 Flash released?
- December 2025.
Badge
- HTML
<a href="https://inference360.ai/models/gemini-3-flash"><img src="https://inference360.ai/badges/gemini-3-flash.svg" alt="Gemini 3 Flash on Inference360: place 103 of 283, index 55.0" height="20"></a>- Markdown
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