GPT-6.1 Sol vs Claude Opus 5.5 — LLM API Cost Comparison
Compare GPT-6.1 Sol (OpenAI) vs Claude Opus 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
- Input
- $2/1M tokens
- Output
- $10/1M tokens
- Context
- 1M tokens
- Released
- 2026-09
Auto-added 2026-11; set isCurrent: true after review
- Input
- $4/1M tokens
- Output
- $20/1M 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)
| Usage | GPT-6.1 Sol | Claude Opus 5.5 | Cheaper by |
|---|---|---|---|
| Light (1M tokens) | $4.40 | $8.80 | GPT-6.1 Sol (50%) |
| Moderate (10M tokens) | $44.00 | $88.00 | GPT-6.1 Sol (50%) |
| Heavy (100M tokens) | $440 | $880 | GPT-6.1 Sol (50%) |
| Very Heavy (1B tokens) | $4,400 | $8,800 | GPT-6.1 Sol (50%) |
Frequently Asked Questions
Which is cheaper — GPT-6.1 Sol or Claude Opus 5.5?
For input tokens, GPT-6.1 Sol is cheaper at $2/1M tokens (2.0x lower). For output tokens, GPT-6.1 Sol is cheaper at $10/1M tokens. Total cost depends on the input and output mix.
What is the context window difference between GPT-6.1 Sol and Claude Opus 5.5?
GPT-6.1 Sol supports 1,050,000 tokens per request; Claude Opus 5.5 supports 1,000,000 tokens. GPT-6.1 Sol has the longer listed context window.
When should I choose GPT-6.1 Sol over Claude Opus 5.5?
Choose GPT-6.1 Sol (OpenAI) if you prefer OpenAI's ecosystem, tooling, or reliability track record. Auto-added 2026-11; set isCurrent: true after review. Choose Claude Opus 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 Sol vs Claude Opus 5.5?
At 700M input + 300M output tokens (1B total): GPT-6.1 Sol costs $4400; Claude Opus 5.5 costs $8800. The difference is $4400/billion tokens at this 70/30 input/output ratio.