Model Comparison

Gemini 1.0 Pro vs DeepSeek-R1Which is better in 2026?

Comparing Gemini 1.0 Pro and DeepSeek-R1 across benchmarks, pricing, and capabilities.

Verdict: Gemini 1.0 Pro vs DeepSeek-R1 — which is better?

Gemini 1.0 Pro (by Google) and DeepSeek-R1 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Gemini 1.0 Pro is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-R1 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

  • cost matters — it's about 1.3x cheaper per token

Choose DeepSeek-R1 if…

  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 1.0 Pro and DeepSeek-R1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 1.1x cheaper than DeepSeek-R1 ($0.55/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 1.5x cheaper than DeepSeek-R1 ($2.19/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than Gemini 1.0 Pro.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Jun 18 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-R1 accepts 131,072 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Thu Jun 18 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while DeepSeek-R1 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.0 Pro

Proprietary

Closed source

DeepSeek-R1

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while DeepSeek-R1 was released on 2025-01-20.

DeepSeek-R1 is 11 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

DeepSeek-R1

Jan 20, 2025

1.4 years ago

11mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek-R1's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without DeepSeek-R1's cutoff date.

Gemini 1.0 Pro

Feb 2024

DeepSeek-R1

—

Provider Availability

Gemini 1.0 Pro is available from Google. DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
DeepSeek
Larger context window (131,072 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
DeepSeek
DeepSeek-R1

FAQ

Common questions about Gemini 1.0 Pro vs DeepSeek-R1.

Which is better, Gemini 1.0 Pro or DeepSeek-R1?

Gemini 1.0 Pro (Google) and DeepSeek-R1 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 1.0 Pro compare to DeepSeek-R1 in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%.

Is Gemini 1.0 Pro cheaper than DeepSeek-R1?

Gemini 1.0 Pro is 1.1x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek.

What are the context window sizes for Gemini 1.0 Pro and DeepSeek-R1?

Gemini 1.0 Pro supports 33K tokens and DeepSeek-R1 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and DeepSeek-R1?

Key differences include context window (33K vs 131K), input pricing ($0.50 vs $0.55/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and DeepSeek-R1?

Gemini 1.0 Pro is developed by Google and DeepSeek-R1 is developed by DeepSeek.

Related comparisons