Model Comparison

Gemini 1.0 Pro vs DeepSeek R1 Distill Qwen 14B

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while DeepSeek R1 Distill Qwen 14B is better at 1 benchmark (GPQA).

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

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).

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Mon Apr 13 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while DeepSeek R1 Distill Qwen 14B 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 Distill Qwen 14B

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while DeepSeek R1 Distill Qwen 14B was released on 2025-01-20.

DeepSeek R1 Distill Qwen 14B is 11 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 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 Distill Qwen 14B'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 Distill Qwen 14B's cutoff date.

Gemini 1.0 Pro

Feb 2024

DeepSeek R1 Distill Qwen 14B

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Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (32,760 tokens)
DeepSeek
Has open weights
Higher GPQA score (59.1% vs 27.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
DeepSeek
DeepSeek R1 Distill Qwen 14B

FAQ

Common questions about Gemini 1.0 Pro vs DeepSeek R1 Distill Qwen 14B

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and DeepSeek R1 Distill Qwen 14B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%.
Gemini 1.0 Pro supports 33K tokens and DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.0 Pro is developed by Google and DeepSeek R1 Distill Qwen 14B is developed by DeepSeek.