Gemini 1.5 Flash (Sep ’24)

← AI Models
Google
2024-09-24
Proprietary
Modality:
Intelligence
13.8
#370/523
Coding
Math
Speed
Pricing
Google Preferred Source

Gemini 1.5 Flash is a fast and versatile multimodal model for scaling across diverse tasks. It supports audio, images, video, and text input, and produces text output. The model is optimized for generating code, extracting data, editing text, and more, making it ideal for narrow, high-frequency tasks.

Gemini 1.5 Flash (Sep ’24) is Google’s latest AI model designed for various applications in natural language processing. It features an Intelligence Index of 13.8, making it suitable for tasks that require advanced reasoning and comprehension.

When to Use Gemini 1.5 Flash (Sep ’24)

✓ Best For

  • Natural language understanding tasks.
  • Content generation and summarization.
  • Applications requiring advanced reasoning capabilities.

✗ Not Ideal For

  • High-speed processing needs due to 0 tok/sec speed.
  • Use cases requiring specific coding or math capabilities, as those indices are not available.

How Gemini 1.5 Flash (Sep ’24) Compares

Intelligence Index · Higher is better

xAIOpenAIGoogleAlibaba

Benchmark Profile

Intelligence · Coding · Math

Intelligence Coding Math

All Benchmark Scores (28)

BenchmarkScore
Intelligence Index 13.8
MMLU-Pro 68%
GPQA 463%
LiveCodeBench 273%
HLE 35%
SciCode 26.7%
AIME 18%
MATH 500 82.7%
AMC_2022_23 34.8%
BIG-Bench Hard 85.5%
FLEURS 9.6%
FunctionalMATH 53.6%
GSM8k 86.2%
HellaSwag 86.5%
HiddenMath 47.2%
HumanEval 74.3%
MATH 77.9%
MathVista 65.8%
MGSM 82.6%
MMLU 78.9%
MMMU 62.3%
MRCR 71.9%
Natural2Code 79.8%
PhysicsFinals 57.4%
Vibe-Eval 48.9%
Video-MME 76.1%
WMT23 74.1%
XSTest 97%

Data: Artificial Analysis · Updated: April 10, 2026

Frequently Asked Questions (15)

When was Gemini 1.5 Flash (Sep '24) released?
Gemini 1.5 Flash (Sep '24) was released on September 24, 2024.
Who created Gemini 1.5 Flash (Sep '24)?
Gemini 1.5 Flash (Sep '24) was created by Google.
How intelligent is Gemini 1.5 Flash (Sep '24)?
Gemini 1.5 Flash (Sep '24) scores 14 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 10).
Is Gemini 1.5 Flash (Sep '24) a reasoning model?
No, Gemini 1.5 Flash (Sep '24) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
What input modalities does Gemini 1.5 Flash (Sep '24) support?
Gemini 1.5 Flash (Sep '24) supports image input.
What output modalities does Gemini 1.5 Flash (Sep '24) support?
Gemini 1.5 Flash (Sep '24) supports text only output.
Can Gemini 1.5 Flash (Sep '24) process images?
Yes, Gemini 1.5 Flash (Sep '24) supports image input and can analyze, describe, and answer questions about images.
Is Gemini 1.5 Flash (Sep '24) multimodal?
No, Gemini 1.5 Flash (Sep '24) is not multimodal. It only supports image input.
What is the context window of Gemini 1.5 Flash (Sep '24)?
Gemini 1.5 Flash (Sep '24) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Is Gemini 1.5 Flash (Sep '24) open source?
No, Gemini 1.5 Flash (Sep '24) is proprietary. The model weights are not publicly available.
How many parameters does Gemini 1.5 Flash (Sep '24) have?
Gemini 1.5 Flash (Sep '24) is a proprietary model and Google has not disclosed the model size or parameter count.
How does Gemini 1.5 Flash (Sep '24) perform on benchmarks?
Gemini 1.5 Flash (Sep '24) achieves a score of 14 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
What is the knowledge cutoff date for Gemini 1.5 Flash (Sep '24)?
Gemini 1.5 Flash (Sep '24) has a knowledge cutoff of August 2024. The model's training data includes information up to this date.
Is Gemini 1.5 Flash (Sep '24) available via API?
Check the providers page for current API availability.
Where can I use Gemini 1.5 Flash (Sep '24)?
Visit the providers page to see availability.