Premium Tier Comparison

Claude Opus 4.8 vs Gemini 3.1 Pro

Two 1M-context flagship models with very different price tags. Gemini 3.1 Pro is 52% cheaper on output — but is it as capable?

Pricing data verified: Jun 3, 2026

Specification Claude Opus 4.8 (Anthropic) Gemini 3.1 Pro (Google)
Input Price (per 1M tokens) $5.00 $2.00
Output Price (per 1M tokens) $25.00 $12.00
Context Window 1M tokens 1M tokens
Tier Premium Mid
Provider Anthropic Google
Multimodal Text + images Text + images + audio + video

Calculate Your Exact Costs

Two 1M-context models — see the real cost difference for your usage.

Anthropic
Claude Opus 4.8
$0.00
per month
Input cost
Output cost
Cost per request
Requests/month
Google
Gemini 3.1 Pro
$0.00
per month
Input cost
Output cost
Cost per request
Requests/month

Other 1M-Context Models

GPT-5.5
OpenAI
$5 / $30 per 1M
1.05M context
Claude Opus 4.7
Anthropic
$5 / $25 per 1M
1M context
DeepSeek V4 Pro
DeepSeek
$0.44 / $0.87 per 1M
1M context

Which Model for Which Use Case?

Research & Analysis

Complex multi-step reasoning, literature review, data synthesis. Claude Opus 4.8 is known for nuanced analysis, but Gemini's 52% output savings adds up at scale.

Better value: Gemini 3.1 Pro

Long Document Processing

Both have 1M context windows. For document-heavy workloads with large outputs, Gemini 3.1 Pro's lower pricing across input AND output gives it a clear edge.

Better value: Gemini 3.1 Pro

Complex Code Generation

Architectural decisions, multi-file refactoring, complex debugging. Claude Opus 4.8 is widely regarded as the stronger coder. The premium is worth it for code quality.

Quality: Claude Opus 4.8 | Value: Gemini 3.1 Pro

Multimodal Tasks

Gemini 3.1 Pro handles text, images, audio, and video natively. Claude Opus 4.8 supports text and images. For multimodal pipelines, Gemini offers more at a lower cost.

Better value: Gemini 3.1 Pro

Modeling premium workloads?

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34 models across 10 providers
Save up to 10 scenarios
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Frequently Asked Questions

Is Gemini 3.1 Pro cheaper than Claude Opus 4.8?

Yes, significantly. Gemini 3.1 Pro costs $2/M input and $12/M output vs Claude Opus 4.8 at $5/M input and $25/M output. That's 60% cheaper on input and 52% cheaper on output. For output-heavy workloads, the savings are substantial.

Which has a larger context window?

Both Claude Opus 4.8 and Gemini 3.1 Pro offer 1M token context windows. They're equally capable for processing very long documents, codebases, or extended conversations.

Is Claude Opus 4.8 worth the premium over Gemini 3.1 Pro?

It depends on your use case. Claude Opus 4.8 excels at nuanced reasoning, complex coding tasks, and analysis where output quality directly impacts outcomes. Gemini 3.1 Pro offers better value for most production workloads, especially those with high output volume or multimodal requirements.

Can I mix both models in my application?

Absolutely. A common pattern is to use Gemini 3.1 Pro for high-volume, routine tasks (summarization, extraction, classification) and Claude Opus 4.8 for complex reasoning and code generation. This hybrid approach can cut costs by 40-60% while maintaining quality where it matters most.

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