Compare Claude 2 by Anthropic against o1 by OpenAI, context windows of 100K vs 128K, tested across 5 shared challenges. Updated April 2026.
Claude 2 and o1 are both competitive models. Claude 2 costs $11.02/M input tokens vs $15/M for o1. Context windows: 100K vs 128K tokens. Compare their real outputs side by side below.
Claude 2 is made by anthropic while o1 is from openai. Claude 2 has a 100K token context window compared to o1's 128K. On pricing, Claude 2 costs $11.02/M input tokens vs $15/M for o1.
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
o1 uses 75.8x more hedging
Ask them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.

Compare Claude 2 by Anthropic against o1 by OpenAI, context windows of 100K vs 128K, tested across 5 shared challenges. Updated April 2026.
Claude 2 and o1 are both competitive models. Claude 2 costs $11.02/M input tokens vs $15/M for o1. Context windows: 100K vs 128K tokens. Compare their real outputs side by side below.
Claude 2 is made by anthropic while o1 is from openai. Claude 2 has a 100K token context window compared to o1's 128K. On pricing, Claude 2 costs $11.02/M input tokens vs $15/M for o1.
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
o1 uses 75.8x more hedging
Ask them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.

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