DeepSeek R1 vs Google Gemini 2.5 Pro

Name: DeepSeek R1
Brand: DeepSeek
SKU: deepseek-r1

Looking for an honest DeepSeek R1 vs Google Gemini 2.5 Pro comparison in 2026? We scored both ai language models on the same six-dimension framework — performance, battery, display, camera, design and value — using identical methodology, so the numbers below are directly comparable. In our overall scoring the Google Gemini 2.5 Pro comes out ahead 71/100 to 84/100 — a 13-point gap. The widest gap is in battery life, where the Google Gemini 2.5 Pro pulls noticeably ahead.

DeepSeek

DeepSeek R1

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AI Matrix

Google Gemini 2.5 Pro edges out the DeepSeek R1 in the ai language models category, especially in battery life, scoring 84 vs 71. If you want the better overall ai language models, Google Gemini 2.5 Pro is the recommended choice.

Reviewed by VersusMatrix Editorial Team|Our methodology

4 Reasons Why Google Gemini 2.5 Pro Is Better

1.Better display rating: 29 vs 2
2.Better battery score: 100 vs 12
3.Higher design rating: 85 vs 77
4.Higher overall score: 84 vs 71

Puan Dağılımı

DeepSeek R1Google Gemini 2.5 Pro

Benchmark (MMLU)30% weight

Beraberlik

Cost Efficiency20% weight

Beraberlik

Arena ELO20% weight

Google Gemini 2.5 Pro Kazanan

Context Window10% weight

100

Google Gemini 2.5 Pro Kazanan

Speed (tok/s)10% weight

Google Gemini 2.5 Pro Kazanan

Coding (HumanEval)10% weight

Beraberlik

Scores are relative within the ai language modelscategory. Percentages show each dimension's weight in the overall score. A difference of less than 0.5 points is considered a tie.

DeepSeek R1

✗ Cons

●Weaker battery score
●Lower display score

Google Gemini 2.5 Pro

Kazanan

✓ Pros

●Overall score 84/100 — top-tier
●Better display score
●Better battery score
●Better design score

💰 Token Pricing (per 1M tokens)

Lower cost = better value. Free = open-source self-hosted.

Metric	DeepSeek R1	2.5 Pro
Input (Prompt)	✓$0.55/1M	$1.25/1M
Output (Completion)	✓$2.19/1M	$10.00/1M
Open Source	✓ Free	Proprietary

⚡ Context Window & Speed

Context Window (tokens)

DeepSeek R1128K

2.5 Pro1M

Metric	DeepSeek R1	2.5 Pro
Max Output	32,768 tok	✓65,536 tok
Speed	25 tok/s	✓100 tok/s
Time to First Token	3.0s	✓800ms
Languages	20+	✓40+

📊 Benchmark Scores

Higher is better. Industry-standard AI evaluation benchmarks.

DeepSeek R1

2.5 Pro

MMLU (Knowledge)

90.8|92.0

DeepSeek R1

2.5 Pro

HumanEval (Coding)

92.6|92.0

DeepSeek R1

2.5 Pro

MATH (Mathematics)

97.3|86.7

DeepSeek R1

2.5 Pro

GPQA (Expert Q&A)

71.5|84.0

DeepSeek R1

2.5 Pro

Chatbot Arena ELO

1358.0|1380.0

DeepSeek R1

2.5 Pro

🔧 Capabilities

Feature	DeepSeek R1	2.5 Pro
Reasoning / Chain-of-Thought	✓	✓
Vision (Image Input)	✕	✓
Audio Input	✕	✓
Video Input	✕	✓
Image/Audio Output	✕	✕
Function Calling / Tools	✕	✓
JSON Mode	✓	✓
Real-time Web Access	✕	✓
Fine-tuning Support	✓	✕
Batch API	✓	✓
Streaming	✓	✓
Open Source	✓	✕

ℹ️ Model Details

Field	DeepSeek R1	2.5 Pro
Provider	DeepSeek	Google
Parameters	671B (37B active)	—
Knowledge Cutoff	2024-07	2025-01
License	MIT	Commercial
Best For	reasoningmathscienceopen sourcecost efficiency	reasoningcodingmultimodallong contextmath

Kim Almalı

Buy DeepSeek R1 if…

The DeepSeek R1 is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.

Buy Google Gemini 2.5 Pro if…

Buy the Google Gemini 2.5 Pro if you want the best overall value in this comparison. It scores higher overall and is the recommended choice for most buyers.