MultimodalMultimodalGemini 1.5 FamilyEnriched

Google Gemini 1.5 Flash

Gemini 1.5 Flash is Google's lightweight, high-throughput multimodal model in the Gemini 1.5 family, optimized for low latency and cost while still supporting very long context. It can process and reason over text, images, audio, and video within a single prompt, making it suitable for interactive and real-time applications.

by GoogleReleased 2024-05-14Proprietary
Context Window
1000K
MMLU
78.9%
HumanEval
74.3%
API Access
Available

Key Capabilities

  • +Low-latency text generation for chat and agents
  • +Multimodal understanding across text, images, audio, and video
  • +Very long-context retrieval and reasoning (up to 1M tokens in some tiers)
  • +Efficient summarization and document QA
  • +Code generation and basic debugging
  • +Real-time, streaming-style responses
  • +Cost-efficient deployment for high-traffic applications

Limitations

  • -Lower raw capability and reasoning depth than larger flagship models like Gemini 1.5 Pro or Ultra
  • -Proprietary model with no access to weights or on-prem deployment
  • -Benchmark performance is generally below state-of-the-art frontier models on the hardest reasoning tasks
  • -Multimodal performance can vary with complex or low-quality inputs (e.g., noisy audio, cluttered images)
  • -Long-context performance may degrade for extremely long or poorly structured inputs

Benchmark Performance

math

math

Grade School Math 8K

86.2%
math

MATH

54.9%

conversation

conversation

Chatbot Arena Elo

1227.0Elo

reasoning

reasoning

Massive Multitask Language Understanding

78.9%

coding

coding

HumanEval

74.3%

Alternatives & Comparisons

Competing small multimodal model optimized for low cost and latency with strong coding performance.

Strengths
  • + Tight integration with OpenAI tools and ecosystem
  • + Strong coding and reasoning for its price tier
Weaknesses
  • - Smaller maximum context window than Gemini 1.5 Flash
  • - Closed weights and proprietary API

Other Gemini 1.5 Models