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Claude Mythos 5 vs Gemini 3.1 Pro — Premium vs Mid-Tier

Gemini 3.1 Pro is 80% cheaper on input ($2 vs $10). Compare Anthropic's premium research model with Google's versatile mid-tier offering.

Pricing data verified: Jul 3, 2026

Cheaper by Far
Gemini 3.1 Pro
80% cheaper input ($2 vs $10)
Output Cost
Gemini 3.1 Pro
76% cheaper ($12 vs $50)
Best Value
Gemini 3.1 Pro
Same 1M context, 80% less cost

Premium vs Mid-Tier Models

How Anthropic's premium research model compares to Google's mid-tier workhorse.

ModelProviderTierInput (per 1M)Output (per 1M)Context
Gemini 3.1 Pro Google Mid $2.00 $12.00 1M
Claude Sonnet 5 Anthropic Mid $3.00 $15.00 1M
Claude Opus 4.8 Anthropic Premium $5.00 $25.00 1M
Claude Mythos 5 Anthropic Premium $10.00 $50.00 1M

Calculate Your Exact Costs

See the cost difference between premium Mythos 5 and mid-tier Gemini 3.1 Pro for your workload.

vs
Anthropic
Claude Mythos 5
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per month
Input cost$0.00
Output cost$0.00
Per request$0.00
Google
Gemini 3.1 Pro
$0.00
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Input cost$0.00
Output cost$0.00
Per request$0.00
Enter your usage above to see savings.

Which Should You Choose?

Complex Research

Deep research, literature review, multi-step reasoning.

Pick Mythos 5: Anthropic's premium research model excels at complex reasoning tasks. Worth the 5x premium for high-stakes research.

General-Purpose AI

Summarization, Q&A, analysis, coding, everyday tasks.

Pick Gemini 3.1 Pro: At $2/$12, it handles 90% of general tasks at 80% lower cost. No need to pay premium for standard workloads.

Enterprise Deployment

Production workloads at scale with cost sensitivity.

Pick Gemini 3.1 Pro: At $2 input, Gemini 3.1 Pro is the clear enterprise choice. Mythos 5's $10 input makes it prohibitive for production-scale deployments.

Data Analysis

Processing data, generating insights, report writing.

Pick Gemini 3.1 Pro: For most analysis tasks, Gemini 3.1 Pro delivers quality output at 80% lower cost. Reserve Mythos 5 for the most complex analytical work.

Code Generation

Writing code, debugging, architecture decisions.

Pick Gemini 3.1 Pro: For coding tasks, Gemini 3.1 Pro delivers excellent results at 80% lower cost. Mythos 5's research strengths don't justify the premium for code.

Budget-Conscious Teams

Startups and small teams watching every dollar.

Pick Gemini 3.1 Pro: At 80% lower cost, Gemini 3.1 Pro is the only sensible choice for budget-conscious teams. You get capable AI without premium pricing.

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Frequently Asked Questions

Is Claude Mythos 5 or Gemini 3.1 Pro cheaper?

Gemini 3.1 Pro is much cheaper. It costs $2.00/$12.00 per 1M tokens while Claude Mythos 5 costs $10.00/$50.00. That's 80% cheaper on input and 76% cheaper on output. At 1M tokens/month, Gemini 3.1 Pro costs $42 vs Mythos 5's $180.

What is Claude Mythos 5 used for?

Claude Mythos 5 at $10/$50 is Anthropic's premium research and analysis model, designed for complex reasoning, deep analysis, multi-step research, and tasks requiring maximum intellectual capability. It's 2x more expensive than Opus 4.8 and 5x more than Gemini 3.1 Pro.

When should I use Mythos 5 vs Gemini 3.1 Pro?

Mythos 5 ($10/$50) is for specialized research tasks requiring premium reasoning capability — complex analysis, deep research, multi-step reasoning. Gemini 3.1 Pro ($2/$12) handles 90% of general AI tasks at 80% lower cost. Most users should start with Gemini 3.1 Pro and only use Mythos 5 for research where maximum capability is critical.

How does Mythos 5 compare to Opus 4.8?

Mythos 5 ($10/$50) costs 2x more than Opus 4.8 ($5/$25). Mythos 5 is designed for the most complex reasoning tasks while Opus 4.8 is Anthropic's general-purpose premium model. For most premium tasks, Opus 4.8 offers better value. Choose Mythos 5 specifically for the most demanding research and analysis workloads.

Can I use Mythos 5 and Gemini 3.1 Pro together?

Yes! A cost-effective pattern: use Gemini 3.1 Pro ($2/$12) for 90% of tasks (analysis, coding, general queries) and route only the most complex research and reasoning tasks to Mythos 5 ($10/$50). This gives you premium capability where needed while keeping costs 80% lower for standard workloads.

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