---
title: "Claude Opus 4.6 vs Gemini 3.1 Pro"
type: comparison
id: "claude-vs-gemini"
description: "Head-to-head comparison of Claude Opus 4.6 and Gemini 3.1 Pro — premium intelligence versus best value in frontier AI. Benchmarks, pricing, multimodal, and ecosystem analysis."
last_updated: "2026-04-10"
tags:
- "claude"
- "gemini"
- "anthropic"
- "google"
- "comparison"
---
# Claude Opus 4.6 vs Gemini 3.1 Pro
Premium intelligence versus best value. Claude Opus 4.6 is the most capable coding model available. Gemini 3.1 Pro delivers 90%+ of that capability at 60% less cost. The question is whether the gap justifies the price.
## At a Glance
| | Claude Opus 4.6 | Gemini 3.1 Pro |
|---|---|---|
| **Provider** | Anthropic | Google |
| **Release** | February 2026 | February 2026 |
| **Context Window** | 1M tokens | 1M tokens |
| **Input Pricing** | $5.00 / 1M tokens | $2.00 / 1M tokens |
| **Output Pricing** | $25.00 / 1M tokens | $12.00 / 1M tokens |
| **Reasoning** | 96/100 | 93/100 |
| **Coding** | 97/100 | 91/100 |
| **Math** | 93/100 | 92/100 |
| **Writing** | 95/100 | 89/100 |
| **Multilingual** | 88/100 | 93/100 |
| **Speed** | 62/100 | 78/100 |
| **SWE-bench** | 80.8% | Not disclosed |
| **Modalities** | Text, Image | Text, Image, Video, Audio |
| **Free Tier** | No | Yes (Google AI Studio) |
## Pricing
This is the elephant in the room. Gemini 3.1 Pro costs $2/$12 per million tokens versus Claude's $5/$25. That is 60% cheaper on input and 52% cheaper on output. Over any significant volume, the difference is substantial.
A workload processing 5 million input tokens and generating 2 million output tokens per month costs $60 with Gemini versus $75 with Claude. Scale that to enterprise volumes and the gap becomes six figures annually. Gemini also has a free tier through Google AI Studio, making it the easiest frontier model to start experimenting with.
**Winner: Gemini 3.1 Pro**, decisively.
## Coding
Claude Opus 4.6 leads with 97/100 on coding benchmarks and 80.8% on SWE-bench. Gemini 3.1 Pro scores 91/100 on coding. That 6-point gap is significant for software engineering -- it translates to better handling of complex refactors, more accurate multi-file changes, and fewer errors in generated code.
Claude Code, the CLI agent built on Claude, is purpose-built for coding workflows. Gemini is available in Google Antigravity (free IDE) and Cursor, but neither integration is as deeply optimized as Claude Code is for Claude.
For occasional coding assistance, Gemini is more than adequate. For professional software engineering where accuracy directly impacts productivity, Claude's lead is worth the premium.
**Winner: Claude Opus 4.6.**
## Reasoning and Math
Closer than you might expect. Claude scores 96/100 on reasoning versus Gemini's 93/100. On math, it is 93 versus 92 -- nearly identical. For most reasoning tasks, both models perform well enough that you will not notice the difference.
Where Claude pulls ahead is on the hardest problems. The 3-point reasoning gap becomes more apparent on multi-step analysis, complex logical chains, and problems that require holding many constraints in mind simultaneously. For routine analysis and research, Gemini's reasoning is perfectly sufficient.
**Winner: Claude Opus 4.6**, but the margin is narrow enough that Gemini's price advantage may offset it.
## Writing
Claude Opus 4.6 scores 95/100 on writing versus Gemini's 89/100. This is one of the larger gaps in the comparison, and it is immediately noticeable. Claude produces more natural prose with better structure, tone control, and nuance. Gemini's writing is competent but can feel more formulaic and less polished.
For content creation, long-form writing, marketing copy, and any task where the text quality itself is the deliverable, Claude is clearly superior. For summarization, extraction, and tasks where the content matters more than the style, Gemini is fine.
**Winner: Claude Opus 4.6.**
## Multimodal
Gemini 3.1 Pro supports text, image, video, and audio natively. Claude supports text and image only. This is the widest capability gap in the comparison.
Gemini can analyze video content, process audio, and work across modalities in ways Claude simply cannot. For applications involving video understanding, audio transcription, or mixed-media analysis, Gemini is the only choice between these two.
Even for image analysis alone, Gemini's native multimodal training gives it an edge in understanding visual content. Claude handles images well, but Gemini was built multimodal from the ground up.
**Winner: Gemini 3.1 Pro.**
## Multilingual
Gemini scores 93/100 on multilingual versus Claude's 88/100. For non-English work, Gemini is the stronger choice. Google's training data advantage in global languages is evident -- Gemini handles European, Asian, and African languages with more consistent quality than Claude.
**Winner: Gemini 3.1 Pro.**
## Speed
Gemini at 78/100 is notably faster than Claude at 62/100. Responses come back quicker, which matters for interactive use, chat applications, and any workflow where you are waiting on the model. Claude's slower speed reflects its more deliberate approach to complex tasks, but for rapid iteration, Gemini feels more responsive.
**Winner: Gemini 3.1 Pro.**
## Ecosystem
Different ecosystems, different strengths. Google's ecosystem includes Workspace integration, Google Cloud/Vertex AI, Google AI Studio (free), and the Antigravity IDE. If your organization runs on Google Cloud, Gemini is the natural fit.
Anthropic's ecosystem is smaller but includes Claude Code (best coding CLI), the agent teams feature, and growing enterprise adoption in regulated industries. Claude has a reputation for being more careful and trustworthy with sensitive content, which matters in healthcare, legal, and financial services.
**Winner: Depends on your stack.** Google Cloud users should lean Gemini. Developers and enterprises in regulated industries should lean Claude.
## The Verdict
**Pick Claude Opus 4.6 if:**
- Coding is your primary use case and accuracy is non-negotiable.
- Writing quality is a key requirement.
- You need the absolute highest reasoning ceiling for complex analytical tasks.
- You work in a regulated industry where Claude's safety-focused approach matters.
- You use Claude Code for software engineering.
**Pick Gemini 3.1 Pro if:**
- Cost matters. At nearly half the price, Gemini is the better value for most workloads.
- You need multimodal capabilities beyond text and image (video, audio).
- Multilingual support is important for your use case.
- You are in the Google Cloud ecosystem.
- You want a free tier to prototype and experiment.
- Speed and responsiveness matter for your application.
**The honest answer:** Gemini 3.1 Pro is the better default choice for most people. It delivers 90-95% of Claude's capability at 50-60% of the cost, with better multimodal support and a free tier. Claude Opus 4.6 justifies its premium for coding, writing, and the hardest reasoning tasks -- but those are specific use cases, not the general case. If you are budget-conscious and do not need the absolute best coding model, start with Gemini.
Claude Opus 4.6 vs Gemini 3.1 Pro
Premium intelligence versus best value. Claude Opus 4.6 is the most capable coding model available. Gemini 3.1 Pro delivers 90%+ of that capability at 60% less cost. The question is whether the gap justifies the price.
At a Glance
|
Claude Opus 4.6 |
Gemini 3.1 Pro |
| Provider |
Anthropic |
Google |
| Release |
February 2026 |
February 2026 |
| Context Window |
1M tokens |
1M tokens |
| Input Pricing |
$5.00 / 1M tokens |
$2.00 / 1M tokens |
| Output Pricing |
$25.00 / 1M tokens |
$12.00 / 1M tokens |
| Reasoning |
96/100 |
93/100 |
| Coding |
97/100 |
91/100 |
| Math |
93/100 |
92/100 |
| Writing |
95/100 |
89/100 |
| Multilingual |
88/100 |
93/100 |
| Speed |
62/100 |
78/100 |
| SWE-bench |
80.8% |
Not disclosed |
| Modalities |
Text, Image |
Text, Image, Video, Audio |
| Free Tier |
No |
Yes (Google AI Studio) |
Pricing
This is the elephant in the room. Gemini 3.1 Pro costs $2/$12 per million tokens versus Claude's $5/$25. That is 60% cheaper on input and 52% cheaper on output. Over any significant volume, the difference is substantial.
A workload processing 5 million input tokens and generating 2 million output tokens per month costs $60 with Gemini versus $75 with Claude. Scale that to enterprise volumes and the gap becomes six figures annually. Gemini also has a free tier through Google AI Studio, making it the easiest frontier model to start experimenting with.
Winner: Gemini 3.1 Pro, decisively.
Coding
Claude Opus 4.6 leads with 97/100 on coding benchmarks and 80.8% on SWE-bench. Gemini 3.1 Pro scores 91/100 on coding. That 6-point gap is significant for software engineering -- it translates to better handling of complex refactors, more accurate multi-file changes, and fewer errors in generated code.
Claude Code, the CLI agent built on Claude, is purpose-built for coding workflows. Gemini is available in Google Antigravity (free IDE) and Cursor, but neither integration is as deeply optimized as Claude Code is for Claude.
For occasional coding assistance, Gemini is more than adequate. For professional software engineering where accuracy directly impacts productivity, Claude's lead is worth the premium.
Winner: Claude Opus 4.6.
Reasoning and Math
Closer than you might expect. Claude scores 96/100 on reasoning versus Gemini's 93/100. On math, it is 93 versus 92 -- nearly identical. For most reasoning tasks, both models perform well enough that you will not notice the difference.
Where Claude pulls ahead is on the hardest problems. The 3-point reasoning gap becomes more apparent on multi-step analysis, complex logical chains, and problems that require holding many constraints in mind simultaneously. For routine analysis and research, Gemini's reasoning is perfectly sufficient.
Winner: Claude Opus 4.6, but the margin is narrow enough that Gemini's price advantage may offset it.
Writing
Claude Opus 4.6 scores 95/100 on writing versus Gemini's 89/100. This is one of the larger gaps in the comparison, and it is immediately noticeable. Claude produces more natural prose with better structure, tone control, and nuance. Gemini's writing is competent but can feel more formulaic and less polished.
For content creation, long-form writing, marketing copy, and any task where the text quality itself is the deliverable, Claude is clearly superior. For summarization, extraction, and tasks where the content matters more than the style, Gemini is fine.
Winner: Claude Opus 4.6.
Multimodal
Gemini 3.1 Pro supports text, image, video, and audio natively. Claude supports text and image only. This is the widest capability gap in the comparison.
Gemini can analyze video content, process audio, and work across modalities in ways Claude simply cannot. For applications involving video understanding, audio transcription, or mixed-media analysis, Gemini is the only choice between these two.
Even for image analysis alone, Gemini's native multimodal training gives it an edge in understanding visual content. Claude handles images well, but Gemini was built multimodal from the ground up.
Winner: Gemini 3.1 Pro.
Multilingual
Gemini scores 93/100 on multilingual versus Claude's 88/100. For non-English work, Gemini is the stronger choice. Google's training data advantage in global languages is evident -- Gemini handles European, Asian, and African languages with more consistent quality than Claude.
Winner: Gemini 3.1 Pro.
Speed
Gemini at 78/100 is notably faster than Claude at 62/100. Responses come back quicker, which matters for interactive use, chat applications, and any workflow where you are waiting on the model. Claude's slower speed reflects its more deliberate approach to complex tasks, but for rapid iteration, Gemini feels more responsive.
Winner: Gemini 3.1 Pro.
Ecosystem
Different ecosystems, different strengths. Google's ecosystem includes Workspace integration, Google Cloud/Vertex AI, Google AI Studio (free), and the Antigravity IDE. If your organization runs on Google Cloud, Gemini is the natural fit.
Anthropic's ecosystem is smaller but includes Claude Code (best coding CLI), the agent teams feature, and growing enterprise adoption in regulated industries. Claude has a reputation for being more careful and trustworthy with sensitive content, which matters in healthcare, legal, and financial services.
Winner: Depends on your stack. Google Cloud users should lean Gemini. Developers and enterprises in regulated industries should lean Claude.
The Verdict
Pick Claude Opus 4.6 if:
- Coding is your primary use case and accuracy is non-negotiable.
- Writing quality is a key requirement.
- You need the absolute highest reasoning ceiling for complex analytical tasks.
- You work in a regulated industry where Claude's safety-focused approach matters.
- You use Claude Code for software engineering.
Pick Gemini 3.1 Pro if:
- Cost matters. At nearly half the price, Gemini is the better value for most workloads.
- You need multimodal capabilities beyond text and image (video, audio).
- Multilingual support is important for your use case.
- You are in the Google Cloud ecosystem.
- You want a free tier to prototype and experiment.
- Speed and responsiveness matter for your application.
The honest answer: Gemini 3.1 Pro is the better default choice for most people. It delivers 90-95% of Claude's capability at 50-60% of the cost, with better multimodal support and a free tier. Claude Opus 4.6 justifies its premium for coding, writing, and the hardest reasoning tasks -- but those are specific use cases, not the general case. If you are budget-conscious and do not need the absolute best coding model, start with Gemini.