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Gemini 1.5 FlashvsGemma 2 27B

Google DeepMind vs Google DeepMind — Side-by-side model comparison

Gemini 1.5 Flash leads 4/5 categories

Head-to-Head Comparison

MetricGemini 1.5 FlashGemma 2 27B
Provider
Arena Rank
#10
#18
Context Window
1M
8K
Input Pricing
$0.075/1M tokens
Free (open)/1M tokens
Output Pricing
$0.30/1M tokens
Free (open)/1M tokens
Parameters
Undisclosed
27B
Open Source
No
Yes
Best For
High-volume tasks, summarization, chat
Research, fine-tuning, on-premise deployment
Release Date
May 14, 2024
Jun 27, 2024

Gemini 1.5 Flash

Gemini 1.5 Flash is Google DeepMind's speed-optimized model that retains the groundbreaking 1 million token context window of Gemini 1.5 Pro while offering dramatically faster inference and lower costs. It uses a novel distillation process to compress the capabilities of the larger Pro model into a lighter architecture. Flash is designed for high-volume production workloads where cost efficiency and speed are critical, while still maintaining strong multimodal understanding.

View Google DeepMind profile →

Gemma 2 27B

Gemma 2 27B is Google DeepMind's largest open-weight model in the Gemma 2 family, delivering performance that rivals much larger proprietary models. Built using research and technology from the Gemini models, it features an efficient architecture that runs well on standard hardware. Gemma 2 27B is freely available for both research and commercial use, making it one of the strongest open models available for fine-tuning and on-premise deployment scenarios.

View Google DeepMind profile →

Key Differences: Gemini 1.5 Flash vs Gemma 2 27B

1

Gemini 1.5 Flash ranks higher in arena benchmarks (#10) indicating stronger overall performance.

2

Gemini 1.5 Flash supports a larger context window (1M), allowing it to process longer documents in a single request.

3

Gemma 2 27B is open-source (free to self-host and fine-tune) while Gemini 1.5 Flash is proprietary (API-only access).

G

When to use Gemini 1.5 Flash

  • +You need the highest quality output based on arena rankings
  • +You need to process long documents (1M context)
  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves high-volume tasks, summarization, chat
View full Gemini 1.5 Flash specs →
G

When to use Gemma 2 27B

  • +You need to self-host or fine-tune the model
  • +Your use case involves research, fine-tuning, on-premise deployment
View full Gemma 2 27B specs →

The Verdict

Gemini 1.5 Flash wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for high-volume tasks, summarization, chat, though Gemma 2 27B holds an edge in research, fine-tuning, on-premise deployment.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Gemini 1.5 Flash or Gemma 2 27B?
In our head-to-head comparison, Gemini 1.5 Flash leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Gemini 1.5 Flash excels at high-volume tasks, summarization, chat, while Gemma 2 27B is better suited for research, fine-tuning, on-premise deployment. The best choice depends on your specific requirements, budget, and use case.
How does Gemini 1.5 Flash pricing compare to Gemma 2 27B?
Gemini 1.5 Flash charges $0.075 per 1M input tokens and $0.30 per 1M output tokens. Gemma 2 27B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Gemini 1.5 Flash and Gemma 2 27B?
Gemini 1.5 Flash supports a 1M token context window, while Gemma 2 27B supports 8K tokens. Gemini 1.5 Flash can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Gemini 1.5 Flash or Gemma 2 27B for free?
Gemini 1.5 Flash is a paid API model starting at $0.075 per 1M input tokens. Gemma 2 27B is a paid API model starting at Free (open) per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Gemini 1.5 Flash or Gemma 2 27B?
Gemini 1.5 Flash holds arena rank #10, while Gemma 2 27B holds rank #18. Gemini 1.5 Flash performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Gemini 1.5 Flash or Gemma 2 27B better for coding?
Gemini 1.5 Flash's primary strength is high-volume tasks, summarization, chat. Gemma 2 27B's primary strength is research, fine-tuning, on-premise deployment. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.