LLM Cost Calculator

GPT-6.1 Terra vs Claude Sonnet 5.5 — LLM API Cost Comparison

Compare GPT-6.1 Terra (OpenAI) vs Claude Sonnet 5.5 (Anthropic) on cost per million tokens, context window, and monthly spend.

Pricing data updated 2026-11-02 · Pricing may change — use the calculator for current estimates

OpenAI
GPT-6.1 Terra
Input
$1/1M tokens
Output
$5/1M tokens
Context
1M tokens
Released
2026-10

Auto-added 2026-11; set isCurrent: true after review

Anthropic
Claude Sonnet 5.5
Input
$2/1M tokens
Output
$10/1M tokens
Context
1M tokens
Released
2026-09

Auto-added 2026-11; set isCurrent: true after review

Monthly Cost by Usage Tier (70% input / 30% output ratio)

UsageGPT-6.1 TerraClaude Sonnet 5.5Cheaper by
Light (1M tokens)$2.20$4.40GPT-6.1 Terra (50%)
Moderate (10M tokens)$22.00$44.00GPT-6.1 Terra (50%)
Heavy (100M tokens)$220$440GPT-6.1 Terra (50%)
Very Heavy (1B tokens)$2,200$4,400GPT-6.1 Terra (50%)

Frequently Asked Questions

Which is cheaper — GPT-6.1 Terra or Claude Sonnet 5.5?

For input tokens, GPT-6.1 Terra is cheaper at $1/1M tokens (2.0x lower). For output tokens, GPT-6.1 Terra is cheaper at $5/1M tokens. Total cost depends on the input and output mix.

What is the context window difference between GPT-6.1 Terra and Claude Sonnet 5.5?

GPT-6.1 Terra supports 1,050,000 tokens per request; Claude Sonnet 5.5 supports 1,000,000 tokens. GPT-6.1 Terra has the longer listed context window.

When should I choose GPT-6.1 Terra over Claude Sonnet 5.5?

Choose GPT-6.1 Terra (OpenAI) if you prefer OpenAI's ecosystem, tooling, or reliability track record. Auto-added 2026-11; set isCurrent: true after review. Choose Claude Sonnet 5.5 (Anthropic) if Auto-added 2026-11; set isCurrent: true after review. the price/performance fits your workload better. Use this calculator to find the break-even point for your exact token volume.

How much does 1 billion tokens cost on GPT-6.1 Terra vs Claude Sonnet 5.5?

At 700M input + 300M output tokens (1B total): GPT-6.1 Terra costs $2200; Claude Sonnet 5.5 costs $4400. The difference is $2200/billion tokens at this 70/30 input/output ratio.