Claude Fable 5 wins on coding (100 vs 90) and writing quality and context window (1M vs 272K). GPT-5.4 wins on price ($2.5 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 For most workflows, Claude Fable 5 is the stronger default — superseded by fable 5.1 — still 80.3% swe-bench pro, but 5.1 is better and cheaper to run.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-5.4 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-5.4 — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.
GPT-5.4 handles the same job for about 71% less per token. Start here and only move up if the output is not good enough.
GPT-5.4 is the fastest of these for Claude Fable 5 vs GPT-5.4 — 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 90 for GPT-5.4.
Claude Fable 5 has the larger context window: 1M vs 272K for GPT-5.4.
GPT-5.4 is cheaper at $2.5/1M input tokens vs $10/1M for Claude Fable 5.
Claude Fable 5 is the safer default: it is built for the hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning, which covers most of what people bring to this comparison.
GPT-5.4 earns its place when your work is mostly agentic workflows and desktop automation, even though it loses the overall count here.
GPT-5.4 is the more cost-efficient option at $2.5/1M input — Claude Fable 5 costs 4x 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-5.4 answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Premium / Sep 3, 2026
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
Where the Claude Fable 5 vs GPT-5.4 recommendation shifts once you weigh price or latency differently.
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Best for agentic automation and desktop control workflows.
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-5.4OpenAI | $2.50/1M | $15.00/1M | $55 | 272k tokens | Balanced | 90 | 88 | 88 |
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-5.4, what it is genuinely good at, and where we would steer you away from it.
Our pick for Claude Fable 5 vs GPT-5.4. 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 latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
The strongest coding and reasoning model you can actually use today. 80.3% SWE-Bench Pro is an 11-point leap over Opus 4.8 — the biggest single-release jump of 2026. It costs 2× Opus 4.8, so use it for the hardest agentic and engineering work and keep Opus 4.8 or Sonnet for everyday volume.
Full pricing, benchmark table and release notes on the Claude Fable 5 page.
The cost-conscious pick for Claude Fable 5 vs GPT-5.4, about 71% less per token than Claude Fable 5 than the top choice while holding 90/100 on coding.
OpenAI's latest flagship with unique desktop-control capabilities — it can see your screen, click, and navigate apps via the API.
You need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks.
Best choice when you need a model that can operate software autonomously at the older GPT-5.4 price tier. For current premium coding quality, Claude Opus 4.7 leads.
Full pricing, benchmark table and release notes on the GPT-5.4 page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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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-5.4 is the better pick when your work is mostly agentic workflows and desktop automation. Neither is universally "better": Claude Fable 5 is aimed at the hardest coding tasks and autonomous multi-step agents, GPT-5.4 at agentic workflows and desktop automation.
GPT-5.4 is cheaper at $2.5/1M input and $15/1M 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-5.4's 272K. 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-5.4's 90 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
GPT-5.4 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-5.4 instead.
Claude Opus 4.7 and GPT-5.5 now outperform it on current premium coding benchmarks. Smaller context window (272K) vs Gemini 3.1 Pro (2M) for research. Avoid it if you need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks. Against Claude Fable 5 specifically, the gap shows up most on coding (100 vs 90).
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-5.4 runs $55.00 (at $2.5/1M in and $15/1M out). That is a $145.00/month difference — GPT-5.4 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-5.4 handling agentic workflows and desktop automation. Routing high-volume, low-stakes calls to GPT-5.4 at $2.5/1M and reserving Claude Fable 5 for the hard cases is usually the cheapest arrangement that does not cost you quality.