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DeepSeek R1 Zero vs Gemini 1.0 Pro

DeepSeek R1 Zero leads the LLM Stats Score 16.1 to -5.3.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Zero leads the overall LLM Stats Score 16.1 to -5.3, ranking #213 overall.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Zero wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

  • overall performance matters — it scores 16.1 and ranks #213 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

Core performance indexes
16.1
#213
-5.3
#345
16.4
#204
-7.9
#343
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.50 / M
Output price
— / M
$1.50 / M
Context window
32,760

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
Gemini 1.0 Pro
17.7#187
-1.4#296
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 9 for Gemini 1.0 Pro

1 shared

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Gemini 1.0 Pro is better at 0 benchmarks.

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Sun Sep 06 2026 • llm-stats.com

License

Usage and distribution terms

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

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

DeepSeek R1 Zero

MIT

Open weights

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

11mo newer
Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek R1 Zero'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 Zero's cutoff date.

DeepSeek R1 Zero

Gemini 1.0 Pro

Feb 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and Gemini 1.0 Pro side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Gemini 1.0 Pro
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs Gemini 1.0 Pro.

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

DeepSeek R1 Zero leads the LLM Stats Score 16.1 to -5.3. DeepSeek R1 Zero is made by DeepSeek and Gemini 1.0 Pro is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%.

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

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

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

Key differences include LLM Stats Score (16.1 vs -5.3), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Gemini 1.0 Pro?

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