Claude Fable 5 wins on coding (100 vs 85) and writing quality and context window (1M vs 200K). GPT-5.2 wins on price ($1.75 vs $10/1M input). For most workflows, Claude Fable 5 is the stronger default — superseded by fable 5.1 — still 80.3% swe-bench pro, but 5.1 is better and cheaper to run.
The safest Claude Fable 5 vs GPT-5.2 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Fable 5 is the strongest answer here for Claude Fable 5 vs GPT-5.2 — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.
GPT-5.2 handles the same job for about 74% less per token. Start here and only move up if the output is not good enough.
GPT-5.2 is the fastest of these for Claude Fable 5 vs GPT-5.2 — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Claude Fable 5 leads on coding with a score of 100 vs 85 for GPT-5.2.
Claude Fable 5 has the larger context window: 1M vs 200K for GPT-5.2.
GPT-5.2 is cheaper at $1.75/1M input tokens vs $10/1M for Claude Fable 5.
Go with Claude Fable 5 if you want one model to handle coding and research — it targets the hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning.
Choose GPT-5.2 when your work is mostly serious coding and complex product work — that is the workload it was tuned for.
GPT-5.2 is the more cost-efficient option at $1.75/1M input — Claude Fable 5 costs 6x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the Claude Fable 5 vs GPT-5.2 answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Premium / Sep 1, 2026
Superseded by Fable 5.1 — still 80.3% SWE-Bench Pro, but 5.1 is better and cheaper to run.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You are starting new work — Claude Fable 5.1 supersedes it at the same base price with 75% cheaper cache reads. Also skip it if you are latency- or cost-sensitive.
Where the Claude Fable 5 vs GPT-5.2 recommendation shifts once you weigh price or latency differently.
Superseded by Fable 5.1 — still 80.3% SWE-Bench Pro, but 5.1 is better and cheaper to run.
Capable but outclassed — GPT-5.4 is now cheaper and better.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Fable 5Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 98 | 100 |
| GPT-5.2OpenAI | $1.75/1M | $14.00/1M | $46 | 200k tokens | Balanced | 85 | 82 | 84 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for Claude Fable 5 vs GPT-5.2, what it is genuinely good at, and where we would steer you away from it.
Our pick for Claude Fable 5 vs GPT-5.2. It scores 100/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
You are starting new work — Claude Fable 5.1 supersedes it at the same base price with 75% cheaper cache reads. Also skip it if you are latency- or cost-sensitive.
Superseded by Claude Fable 5.1 on September 1, 2026, which beats it on every benchmark Anthropic published and costs less to run thanks to a 75% cache-read cut. Fable 5 remains a frontier-class model — 80.3% SWE-Bench Pro, an 11-point leap over Opus 4.8 — and stays available at the same $10/$50, but there is no reason to start new work on it.
Full pricing, benchmark table and release notes on the Claude Fable 5 page.
The cost-conscious pick for Claude Fable 5 vs GPT-5.2, about 74% less per token than Claude Fable 5 than the top choice while holding 85/100 on coding.
Reliable OpenAI flagship for serious coding and product work — a strong default before GPT-5.4 was released.
You're starting a new project — GPT-5.4 is cheaper and more capable.
Still capable but GPT-5.4 at $2.50/1M input is now cheaper and better. Hard to justify GPT-5.2 at $12/1M for new projects.
Full pricing, benchmark table and release notes on the GPT-5.2 page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Newsletter
We email when the Claude Fable 5 vs GPT-5.2 pick changes, when one of these models moves on price, or when something new displaces the current leader.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Claude Fable 5 wins on more of the categories we score — coding, research, long context — so it is the better default of the two. GPT-5.2 is the better pick when your work is mostly serious coding and complex product work. Neither is universally "better": Claude Fable 5 is aimed at the hardest coding tasks and autonomous multi-step agents, GPT-5.2 at serious coding and complex product work.
GPT-5.2 is cheaper at $1.75/1M input and $14/1M output. Claude Fable 5 costs $10/1M input and $50/1M output.
Claude Fable 5 has the larger context window at 1M tokens vs GPT-5.2's 200K. For large document analysis, Claude Fable 5 is the stronger pick.
Claude Fable 5 is better for coding with a score of 100 vs GPT-5.2's 85 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
GPT-5.2 is faster with a balanced speed rating (score: 3) vs Claude Fable 5's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Fable 5 latency penalty is usually invisible.
Priced at $10/$50 per 1M tokens — double Opus 4.8 ($5/$25). Deliberate pace; not for latency-sensitive interactive apps. Standard-use safeguards block some high-risk security workloads (use Mythos 5 with partner access). Avoid it if you are starting new work — Claude Fable 5.1 supersedes it at the same base price with 75% cheaper cache reads. Also skip it if you are latency- or cost-sensitive. That is the main case for looking at GPT-5.2 instead.
Superseded by GPT-5.4 for most use cases. Claude Sonnet 4.6 leads on both coding and writing quality. Avoid it if you're starting a new project — GPT-5.4 is cheaper and more capable. Against Claude Fable 5 specifically, the gap shows up most on coding (100 vs 85).
Take a moderate workload of 10M input and 2M output tokens a month. Claude Fable 5 runs $200.00 (at $10/1M in and $50/1M out); GPT-5.2 runs $45.50 (at $1.75/1M in and $14/1M out). That is a $154.50/month difference — GPT-5.2 is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is Claude Fable 5 for the hardest coding tasks and autonomous multi-step agents, with GPT-5.2 handling serious coding and complex product work. Routing high-volume, low-stakes calls to GPT-5.2 at $1.75/1M and reserving Claude Fable 5 for the hard cases is usually the cheapest arrangement that does not cost you quality.