Claude Fable 5.2 vs GPT-5.2 Codex
Claude Fable 5.2 leads the LLM Stats Score 61.3 to 33.7. GPT-5.2 Codex is 3.3x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
Claude Fable 5.2 leads the overall LLM Stats Score 61.3 to 33.7, ranking #1 overall.
In the 1 individual benchmarks reported for both models, Claude Fable 5.2 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5.2 Codex is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Fable 5.2 also accepts a larger context window (1,000,000 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 Fable 5.2
- overall performance matters — it scores 61.3 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose GPT-5.2 Codex
- cost matters — it's about 3.3x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
29 reported for Claude Fable 5.2 · 3 for GPT-5.2 Codex
Claude Fable 5.2 outperforms in 1 benchmarks (SWE-Bench Pro), while GPT-5.2 Codex is better at 0 benchmarks.
Claude Fable 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 Fable 5.2 ($8.00/1M tokens) is 4.6x more expensive than GPT-5.2 Codex ($1.75/1M tokens).
For output processing, Claude Fable 5.2 ($40.00/1M tokens) is 2.9x more expensive than GPT-5.2 Codex ($14.00/1M tokens).
In conclusion, Claude Fable 5.2 is more expensive than GPT-5.2 Codex.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Fable 5.2 accepts 1,000,000 input tokens compared to GPT-5.2 Codex's 400,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Fable 5.2 and GPT-5.2 Codex support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Fable 5.2
GPT-5.2 Codex
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 Fable 5.2 was released on 2026-11-09, while GPT-5.2 Codex was released on 2026-01-14.
Claude Fable 5.2 is 10 months newer than GPT-5.2 Codex.
Nov 9, 2026
0 days ago
9mo newerJan 14, 2026
9 months ago
Knowledge Cutoff
When training data ends
Claude Fable 5.2 has a documented knowledge cutoff of 2026-06-01, while GPT-5.2 Codex's cutoff date is not specified.
We can confirm Claude Fable 5.2's training data extends to 2026-06-01, but cannot make a direct comparison without GPT-5.2 Codex's cutoff date.
Jun 2026
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Provider Availability
Claude Fable 5.2 is available from Anthropic. GPT-5.2 Codex is available from OpenAI.
Claude Fable 5.2
GPT-5.2 Codex
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.2 and GPT-5.2 Codex side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.2 vs GPT-5.2 Codex.