Gemini 2.5 Pro vs DeepSeek V4 ProBenchmark Comparison 2026

Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.

Overall winner (2026)

DeepSeek V4 Pro

6 of 6 criteria won

Google

Gemini 2.5 Pro

Intelligence Index

34.6

Coding Index

32.0

0 criteria won

View full profile

DeepSeek

DeepSeek V4 Pro

Winner

Intelligence Index

51.5

Coding Index

47.5

6 criteria won

View full profile

Detailed Comparison

CritérioGemini 2.5 ProDeepSeek V4 Pro
Chatbot Arena ELO
Intelligence Index (AA)34.651.5
Coding Index (AA)32.047.5
GPQA Diamond84.4%91.0%
Input price ($/1M tok)$1.25$0.43
Output price ($/1M tok)$10.00$0.87
Context window1.0M tokens1.0M tokens
Speed (tokens/s)54 tok/s

✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly

Technical Specifications

Gemini 2.5 Pro

Company
Google
Context window
1.0M tokens
Input ($/1M tok)
$1.25
Output ($/1M tok)
$10.00
Release
Jun 2025
Multimodal
Yes
Open Source
No
Official website
Visit

DeepSeek V4 Pro

Company
DeepSeek
Context window
1.0M tokens
Input ($/1M tok)
$0.43
Output ($/1M tok)
$0.87
Speed
54 tok/s
Release
Apr 2026
Multimodal
No
Open Source
Yes
Official website
Visit

When to use Gemini 2.5 Pro vs DeepSeek V4 Pro?

Choosing between Gemini 2.5 Pro and DeepSeek V4 Pro depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.

Use Gemini 2.5 Pro when:

Google · Multimodal

  • Complex reasoning, math and advanced programming — reasoning models are optimized for problems requiring multiple logical steps
  • High-volume token projects — at $1.25/1M input tokens, the cost per call is low enough for production use at scale
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Applications with audio input or output — transcription, call analysis and voice assistants
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
  • API integration in SaaS applications — direct API access with documented SLA
View full Gemini 2.5 Pro profile

Use DeepSeek V4 Pro when:

DeepSeek · Text · Open Source

  • High-volume token projects — at $0.435/1M input tokens, the cost per call is low enough for production use at scale
  • Self-hosted projects with privacy requirements — ideal for sensitive data that cannot leave your own infrastructure
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
View full DeepSeek V4 Pro profile
SWEN Verdict: DeepSeek V4 Pro wins in more objective criteria in this comparison (6 vs 0). For most use cases, DeepSeek V4 Pro offers better aggregate performance — but Gemini 2.5 Pro may be preferable if your project prioritizes complex reasoning, math and advanced programming.

Frequently Asked Questions

Gemini 2.5 Pro or DeepSeek V4 Pro: which is better?

DeepSeek V4 Pro wins in 6 of 6 criteria analyzed. Check the full table to choose based on your use case.

Where does this benchmark data come from?

Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.

What is the Intelligence Index?

The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.

Is Gemini 2.5 Pro cheaper than DeepSeek V4 Pro?

No. DeepSeek V4 Pro is cheaper: $0.435/1M input tokens vs $1.25/1M tokens for Gemini 2.5 Pro — a 187% difference. For high-volume projects, DeepSeek V4 Pro can reduce costs substantially.

Gemini 2.5 Pro or DeepSeek V4 Pro: which has a larger context window?

Gemini 2.5 Pro and DeepSeek V4 Pro have the same context window: 1.0M tokens. For this criterion, the choice should be based on other factors like pricing and quality for your specific use case.

Other Comparisons

claude-opus-4-7 vs gpt-5-5claude-opus-4-7 vs gpt-5-5-proclaude-opus-4-7 vs deepseek-v4-proclaude-opus-4-7 vs deepseek-v3-2claude-opus-4-7 vs gemini-3-1-pro-previewclaude-opus-4-7 vs grok-4-3claude-opus-4-7 vs o4-miniclaude-opus-4-7 vs gpt-5-4gpt-5-5 vs gemini-3-1-pro-previewgpt-5-5 vs grok-4-3gpt-5-5 vs deepseek-v4-progpt-5-5 vs deepseek-v3-2gpt-5-5 vs o4-minigpt-5-5-pro vs claude-opus-4-7gpt-5-5-pro vs gemini-3-1-pro-previewgpt-5-5-pro vs deepseek-v4-progpt-5-5-pro vs grok-4-3gemini-3-1-pro-preview vs claude-opus-4-7gemini-3-1-pro-preview vs deepseek-v4-progemini-3-1-pro-preview vs grok-4-3deepseek-v4-pro vs grok-4-3deepseek-v4-pro vs deepseek-v3-2deepseek-v3-2 vs grok-4-3deepseek-v3-2 vs gemini-3-1-pro-previewdeepseek-v3-2 vs gemini-3-1-flash-litegrok-4-3 vs gemini-3-1-pro-previewo4-mini vs gemini-3-1-pro-previewo4-mini vs deepseek-v4-proo4-mini vs grok-4-3gemini-3-1-flash-lite vs o4-minigemini-2-5-pro vs claude-opus-4-7gemini-2-5-pro vs gpt-5-5claude-sonnet-4-6 vs gpt-5-4-miniclaude-sonnet-4-6 vs gemini-3-flash-previewgpt-5-4-pro vs claude-opus-4-7gpt-5-4-pro vs gemini-3-1-pro-previewgrok-4-20 vs claude-opus-4-7grok-4-20 vs gpt-5-5gpt-4o vs claude-opus-4-7gpt-4o vs gemini-2-5-progpt-4o vs deepseek-v3-2gpt-4o vs grok-4-3gpt-4o-mini vs claude-haiku-4-5gpt-4o-mini vs gemini-2-5-flashgpt-4o-mini vs deepseek-v3-2o3 vs claude-opus-4-7o3 vs r1o3 vs gemini-2-5-pror1 vs claude-opus-4-7r1 vs gpt-5-5llama-4-maverick vs claude-opus-4-7llama-4-maverick vs gpt-5-5llama-4-scout vs claude-sonnet-4-6claude-sonnet-4-6 vs claude-opus-4-7claude-sonnet-4-6 vs gemini-2-5-proView all