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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
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 was Google DeepMind's first frontier model, the first to exceed human expert performance on the MMLU benchmark. It demonstrated native multimodal capabilities across text, images, audio, and video. Gemini Ultra powered the rebranded Google One AI Premium plan and represented Google's full entry into the frontier AI model competition.

View Google DeepMind profile →

Gemini 1.5 Pro

Gemini 1.5 Pro is Google DeepMind's flagship multimodal model featuring an industry-leading 1 million token context window, capable of processing entire codebases, books, or hours of video in a single prompt. It demonstrates exceptional performance on long-context reasoning tasks, multimodal understanding across text, images, audio, and video, and complex coding challenges. The massive context window opens entirely new use cases that were previously impossible with shorter-context models.

View Google DeepMind profile →

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: March 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.