GPT-5.6 Sol wins on price ($4 vs $10/1M input). Claude Fable 5 wins on coding (98 vs 97). For most workflows, GPT-5.6 Sol is the stronger default — former openai flagship — still strong on terminal coding, now behind gpt-6 astra.
The safest GPT-5.6 Sol vs Claude Fable 5 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-5.6 Sol is the strongest answer here for GPT-5.6 Sol vs Claude Fable 5 — pick it when quality of output matters more than the $4.00/1M/1M input you pay for it.
Claude Sonnet 5.5 handles the same job for about 50% less per token. Start here and only move up if the output is not good enough.
Claude Fable 5 is the fastest of these for GPT-5.6 Sol vs Claude Fable 5 — 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 98 vs 97 for GPT-5.6 Sol.
GPT-5.6 Sol has the larger context window: 1.05M vs 1M for Claude Fable 5.
GPT-5.6 Sol is cheaper at $4/1M input tokens vs $10/1M for Claude Fable 5.
GPT-5.6 Sol is the safer default: it is built for frontier agentic coding, deep research, and hardest reasoning tasks, which covers most of what people bring to this comparison.
Claude Fable 5 earns its place when your work is mostly the hardest coding tasks and autonomous multi-step agents, even though it loses the overall count here.
Both models serve different primary workflows — GPT-5.6 Sol for frontier agentic coding and deep research, Claude Fable 5 for the hardest coding tasks and autonomous multi-step agents — so running each where it has a clear edge often beats forcing one to do both.
Switch the scoring lens to see whether the GPT-5.6 Sol vs Claude Fable 5 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Superseded by Fable 5.1 — still 80.3% SWE-Bench Pro, but 5.1 is better and cheaper to run.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 latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
Where the GPT-5.6 Sol vs Claude Fable 5 recommendation shifts once you weigh price or latency differently.
Former OpenAI flagship — still strong on terminal coding, now behind GPT-6 Astra.
Superseded by Fable 5.1 — still 80.3% SWE-Bench Pro, but 5.1 is better and cheaper to run.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| GPT-5.6 SolOpenAI | $4.00/1M | $20.00/1M | $80 | 1.1M tokens | Deliberate | 97 | 94 | 97 |
| Claude Fable 5Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 98 | 97 | 98 |
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 GPT-5.6 Sol vs Claude Fable 5, what it is genuinely good at, and where we would steer you away from it.
The default answer for GPT-5.6 Sol vs Claude Fable 5 — 97/100 on the coding axis, and the model we would start with unless the price below rules it out.
The flagship of OpenAI's GPT-5.6 family — its most capable reasoning and agentic-coding model, with an 'ultra' mode that spawns sub-agents for long autonomous workflows.
Repo-level coding is the main job — Opus 5 leads SWE-bench Pro by ~15 points — or you're cost-sensitive (Terra is 60% cheaper at 1–4 points off).
Superseded: GPT-6 Astra (September 3, 2026) is now OpenAI's most capable model, and GPT-6.1 Sol (September 29) is the value pick at $2/$10. Still a strong terminal-workflow model. It led Terminal-Bench and agentic browsing at launch, but Claude Opus 5.5 is the better pick for repository-level software engineering.
Full pricing, benchmark table and release notes on the GPT-5.6 Sol page.
The fastest model in this shortlist for GPT-5.6 Sol vs Claude Fable 5. Pick it when turnaround is what your readers or users notice.
Anthropic's June 9, 2026 Mythos-class flagship. At launch it was the most capable coding model anyone could use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8 — and it has since been overtaken by Claude Fable 5.1 and Claude Opus 5.5. 1M context, 128K output, native parallel subagents.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
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.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Newsletter
We email when the GPT-5.6 Sol vs Claude Fable 5 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.
GPT-5.6 Sol wins on more of the categories we score — coding, research, reasoning — so it is the better default of the two. Claude Fable 5 is the better pick when your work is mostly the hardest coding tasks and autonomous multi-step agents. Neither is universally "better": GPT-5.6 Sol is aimed at frontier agentic coding and deep research, Claude Fable 5 at the hardest coding tasks and autonomous multi-step agents.
GPT-5.6 Sol is cheaper at $4/1M input and $20/1M output. Claude Fable 5 costs $10/1M input and $50/1M output.
GPT-5.6 Sol has the larger context window at 1.05M tokens vs Claude Fable 5's 1M. For large document analysis, GPT-5.6 Sol is the stronger pick.
Claude Fable 5 is better for coding with a score of 98 vs GPT-5.6 Sol's 97 (out of 100). Claude Opus 5.5 is the overall coding leader in this directory at 100/100.
Both GPT-5.6 Sol and Claude Fable 5 have similar speed profiles — rated deliberate. Neither will be the bottleneck if latency is your deciding factor.
Trails Claude Opus 5 badly on repository-level engineering (SWE-bench Pro 64.6% vs 79.2%). Long-context surcharge ($10/$45 above 272K) and 2–3x ultra-mode costs stack up fast. Avoid it if repo-level coding is the main job — Opus 5 leads SWE-bench Pro by ~15 points — or you're cost-sensitive (Terra is 60% cheaper at 1–4 points off). That is the main case for looking at Claude Fable 5 instead.
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. Against GPT-5.6 Sol specifically, the gap shows up most on coding (97 vs 98).
Take a moderate workload of 10M input and 2M output tokens a month. GPT-5.6 Sol runs $80.00 (at $4/1M in and $20/1M out); Claude Fable 5 runs $200.00 (at $10/1M in and $50/1M out). That is a $120.00/month difference — GPT-5.6 Sol 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 GPT-5.6 Sol for frontier agentic coding and deep research, with Claude Fable 5 handling the hardest coding tasks and autonomous multi-step agents. Since GPT-5.6 Sol is both the stronger and the cheaper option here, a split mainly makes sense if Claude Fable 5 covers a capability you specifically need.