Claude Opus 4.1 vs GPT-5.2
GPT-5.2 leads the LLM Stats Score 41.1 to 29.8. GPT-5.2 is 6.2x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
GPT-5.2 leads the overall LLM Stats Score 41.1 to 29.8, ranking #64 overall.
In the 4 individual benchmarks reported for both models, GPT-5.2 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5.2 is roughly 6.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.2 also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 4.1
- you want predictable pricing at $15.00/M input and $75.00/M output
Choose GPT-5.2
- overall performance matters — it scores 41.1 and ranks #64 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- cost matters — it's about 6.2x cheaper per token
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Claude Opus 4.1 · 24 for GPT-5.2
Claude Opus 4.1 outperforms in 0 benchmarks, while GPT-5.2 is better at 4 benchmarks (AIME 2025, GPQA, MMMLU, SWE-Bench Verified).
GPT-5.2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.1 ($15.00/1M tokens) is 8.6x more expensive than GPT-5.2 ($1.75/1M tokens).
For output processing, Claude Opus 4.1 ($75.00/1M tokens) is 5.4x more expensive than GPT-5.2 ($14.00/1M tokens).
In conclusion, Claude Opus 4.1 is more expensive than GPT-5.2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.2 accepts 400,000 input tokens compared to Claude Opus 4.1's 200,000 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while Claude Opus 4.1 is limited to 32,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Opus 4.1 and GPT-5.2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.1
GPT-5.2
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Opus 4.1 was released on 2025-08-05, while GPT-5.2 was released on 2025-12-11.
GPT-5.2 is 4 months newer than Claude Opus 4.1.
Aug 5, 2025
1.2 years ago
Dec 11, 2025
10 months ago
4mo newerKnowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Claude Opus 4.1's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Claude Opus 4.1's cutoff date.
—
Aug 2025
Provider Availability
Claude Opus 4.1 is available from Anthropic, Bedrock, Google. GPT-5.2 is available from OpenAI.
Claude Opus 4.1
GPT-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.1 and GPT-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.1 vs GPT-5.2.