Gemini 2.5 Pro vs Claude Opus 4.7Benchmark Comparison 2026

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

Google

Gemini 2.5 Pro

ELO Arena

1446

Intelligence Index

25.8

Coding Index

33.3

4 criteria won

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Anthropic

Claude Opus 4.7

ELO Arena

1503

Intelligence Index

53.5

Coding Index

73.6

4 criteria won

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Detailed Comparison

Critério	Gemini 2.5 Pro	Claude Opus 4.7
Chatbot Arena ELO	1446	1503 ✓
Intelligence Index (AA)	25.8	53.5 ✓
Coding Index (AA)	33.3	73.6 ✓
GPQA Diamond	84.0%	91.0% ✓
Input price ($/1M tok)	$1.25 ✓	$5.00
Output price ($/1M tok)	$10.00 ✓	$25.00
Context window	1.0M tokens ✓	1.0M tokens
Speed (tokens/s)	129 tok/s ✓	42 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
Speed: 129 tok/s
Release: Jun 2025
Multimodal: Yes
Open Source: No
Official website: Visit →

Claude Opus 4.7

Company: Anthropic
Context window: 1.0M tokens
Input ($/1M tok): $5.00
Output ($/1M tok): $25.00
Speed: 42 tok/s
Release: Apr 2026
Multimodal: Yes
Open Source: No
Official website: Visit →

When to use Gemini 2.5 Pro vs Claude Opus 4.7?

Choosing between Gemini 2.5 Pro and Claude Opus 4.7 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 Claude Opus 4.7 when:

Anthropic · Multimodal

→Complex reasoning, math and advanced programming — reasoning models are optimized for problems requiring multiple logical steps
→Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
→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 Claude Opus 4.7 profile →

Frequently Asked Questions

Gemini 2.5 Pro or Claude Opus 4.7: which is better?

Gemini 2.5 Pro and Claude Opus 4.7 are evenly matched in this comparison. Choose based on the criterion most important for your project.

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 Claude Opus 4.7?

Yes. Gemini 2.5 Pro costs $1.25/1M input tokens, while Claude Opus 4.7 costs $5/1M tokens — 300% more expensive. For high-volume projects, Gemini 2.5 Pro represents significant savings. Total cost also depends on output pricing and your application's usage pattern.

Gemini 2.5 Pro or Claude Opus 4.7: which has a larger context window?

Gemini 2.5 Pro has the larger context window: 1.0M tokens vs 1.0M tokens. For long document analysis, extensive transcripts or full codebases, the larger context window is a decisive criterion.

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