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Gemini 1.0 UltravsGemini 1.5 Pro

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

Gemini 1.5 Pro leads 4/5 categories

Head-to-Head Comparison

MetricGemini 1.0 UltraGemini 1.5 Pro
Provider
Google DeepMind
Google DeepMind
Arena Rank
#4
Context Window
32K
1M
Input Pricing
Subscription-based/1M tokens
$3.50/1M tokens
Output Pricing
Subscription-based/1M tokens
$10.50/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Complex reasoning, multimodal understanding
Long documents, multimodal analysis, coding
Release Date
Feb 8, 2024
May 14, 2024

Gemini 1.0 Ultra

Gemini 1.0 Ultra, developed by Google DeepMind, is the first model in the Gemini family with a 32K token context window and native multimodal capabilities. The model processes text, images, audio, and video in a unified architecture, representing Google's most ambitious AI system at the time of its release. Gemini 1.0 Ultra was the first model to exceed human expert performance on the MMLU benchmark, scoring 90.0% across 57 academic subjects. It demonstrates particular strength in mathematical reasoning, complex coding, and multimodal understanding tasks. Available through Google AI Studio and Vertex AI on a subscription basis, it targets enterprise and research applications requiring broad capability. While now superseded by Gemini 1.5 and 2.0 generations, Ultra established the architectural foundation for Google's current model lineup.

Gemini 1.5 Pro

Gemini 1.5 Pro, developed by Google DeepMind, is a high-capability multimodal model with a 1 million token context window that can process entire books, codebases, or hours of video in a single request. The model uses a Mixture-of-Experts architecture to deliver strong performance on complex reasoning, coding, mathematical analysis, and multimodal understanding tasks. Its massive context window makes it uniquely suited for tasks involving large-scale document analysis, repository-wide code review, and comprehensive media processing. Priced at $3.50 per million input tokens and $10.50 per million output tokens, it offers substantial context capacity at competitive pricing. Gemini 1.5 Pro ranks #4 on the Chatbot Arena leaderboard, reflecting its position as one of the most capable models available for tasks requiring deep, contextual understanding.

Key Differences: Gemini 1.0 Ultra vs Gemini 1.5 Pro

1

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

G

When to use Gemini 1.0 Ultra

  • +Your use case involves complex reasoning, multimodal understanding
View full Gemini 1.0 Ultra specs →
G

When to use Gemini 1.5 Pro

  • +You need to process long documents (1M context)
  • +Your use case involves long documents, multimodal analysis, coding
View full Gemini 1.5 Pro specs →

The Verdict

Gemini 1.5 Pro wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for long documents, multimodal analysis, coding, though Gemini 1.0 Ultra holds an edge in complex reasoning, multimodal understanding.

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

Frequently Asked Questions

Which is better, Gemini 1.0 Ultra or Gemini 1.5 Pro?
In our head-to-head comparison, Gemini 1.5 Pro leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Gemini 1.5 Pro excels at long documents, multimodal analysis, coding, while Gemini 1.0 Ultra is better suited for complex reasoning, multimodal understanding. The best choice depends on your specific requirements, budget, and use case.
How does Gemini 1.0 Ultra pricing compare to Gemini 1.5 Pro?
Gemini 1.0 Ultra charges Subscription-based per 1M input tokens and Subscription-based per 1M output tokens. Gemini 1.5 Pro charges $3.50 per 1M input tokens and $10.50 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 1.0 Ultra and Gemini 1.5 Pro?
Gemini 1.0 Ultra supports a 32K token context window, while Gemini 1.5 Pro supports 1M tokens. Gemini 1.5 Pro 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 1.0 Ultra or Gemini 1.5 Pro for free?
Gemini 1.0 Ultra is a paid API model starting at Subscription-based per 1M input tokens. Gemini 1.5 Pro is a paid API model starting at $3.50 per 1M input tokens.
Which model has better benchmarks, Gemini 1.0 Ultra or Gemini 1.5 Pro?
Gemini 1.0 Ultra's arena rank is not yet available, while Gemini 1.5 Pro holds rank #4. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Gemini 1.0 Ultra or Gemini 1.5 Pro better for coding?
Gemini 1.0 Ultra's primary strength is complex reasoning, multimodal understanding. Gemini 1.5 Pro is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.