Claude Fable 5.1 wins on coding (100 vs 91) and writing quality. GLM-5.3 wins on price ($1.4 vs $10/1M input). For most workflows, Claude Fable 5.1 is the stronger default — new frontier leader — better than fable 5 on every published benchmark, and cheaper to run.
Last verified Sep 1, 2026/Model data modified Sep 1, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$10.00/1M
Context
1M tokens
Speed
Deliberate
Clear recommendation block
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GLM-5.3 is the better pick when response speed matters more than maximum reasoning depth.
Z.aiBudget
Best for
Agentic engineering and security work on open weights
Price
$1.40/1M
Context
1M tokens
Why this page recommends it
Claude Fable 5.1 leads on coding with a score of 100 vs 91 for GLM-5.3.
GLM-5.3 is cheaper at $1.4/1M input tokens vs $10/1M for Claude Fable 5.1.
Claude Fable 5.1 is the stronger default for coding tasks.
Decision notes
Claude Fable 5.1 is the safer default: it is built for frontier agentic coding, long-horizon autonomous work, and agentic scientific research, which covers most of what people bring to this comparison.
GLM-5.3 earns its place when your work is mostly agentic engineering and security work on open weights, even though it loses the overall count here.
GLM-5.3 is the more cost-efficient option at $1.4/1M input — Claude Fable 5.1 costs 7x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
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#1Claude Fable 5.191 pts
#2GLM-5.381 pts
Quality first
Claude Fable 5.1
Anthropic / Premium / Sep 1, 2026
91
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.
Recommended comparisons
The fastest way to see where the recommendation shifts when your priority changes.
Capability scores are out of 100 and reflect our own weighting of published benchmarks and production signals — see how we evaluate models. “Est. month” assumes 10M input and 2M output tokens at list price, with no batch or caching discounts applied, so treat it as a ceiling.
The case for each model
What each one is genuinely good at, where it falls down, and the situations we would steer you away from it — not just the headline score.
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
Input
$10.00/1M
Output
$50.00/1M
Context
1M tokens
Speed
Deliberate
What people actually use it for
Agentic scientific research — 52.6% on Terminal-Bench-Science 0.1, more than double Fable 5's 24.7%
Long-running autonomous coding agents that plan, run, and debug across a whole repository
Cache-heavy agent loops where the 75% cache-read cut ($1.00 → $0.25 per 1M) is the real saving
Where it wins
52.6% Terminal-Bench-Science 0.1 — 2.1x Fable 5 (24.7%), well clear of Opus 5 (29.0%) and GPT-5.6 Sol (22.4%)
55.8% Terminal-Bench 4.0 agentic coding, ahead of Opus 5 (52.3%) and Fable 5 (42.0%)
Cache reads cut 75% to $0.25/1M — ~25% cheaper for typical use, ~45% for heavily agentic work
Independent Vals AI evaluation ranks it #1 of 51 on the Vals Index, #1 on LiveCodeBench (90.5%) and MMLU Pro (92.4%)
1M-token context and 128K max output at standard rates, with adaptive thinking always enabled
Where it falls down
Base rates are still $10/$50 per 1M — double Claude Opus 5 for anything that is not cache-heavy
Anthropic published no SWE-bench Verified or SWE-bench Pro figure for 5.1 at launch
On Claude Pro it only runs on pay-as-you-go credits; Max includes it up to 50% of weekly limits
Deliberate, high-latency profile — the wrong choice for interactive, latency-bound apps
Skip it if
You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.
Our verdict
The new frontier leader, and the rare upgrade that costs less than the model it replaces. Base $10/$50 pricing did not move, but a 75% cut to cache reads makes typical workloads ~25% cheaper than Fable 5 and heavily agentic ones ~45% cheaper — while more than doubling Fable 5 on agentic science and beating Opus 5 on agentic coding. If you were already on Fable 5, switching is a straight win. If you were on Opus 5 for the price, it still costs 2x on uncached tokens.
Released September 1, 2026 alongside Claude Mythos 5.1, the first update to the Mythos-class line since Fable 5 on June 9. API ID claude-fable-5-1; generally available on the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Published launch numbers (Fable 5.1 / Fable 5 / Opus 5 / GPT-5.6 Sol): Terminal-Bench-Science 0.1 52.6 / 24.7 / 29.0 / 22.4; Terminal-Bench 4.0 55.8 / 42.0 / 52.3 / 37.3; CursorBench 3.2.0 73.4 / 70.5 / 70.0 / 67.2; AutomationBench 31.4 / 17.1 / 26.9 / 19.6; OSWorld 2.0 strict 41.7 / 36.1 / 39.6; Humanity's Last Exam (no tools) 60.9 / 57.8 / 56.6; GDPval-AA v2 1853 / 1723 / 1824 / 1711. GDPval-AA v2 is rescaled from the v1 numbers quoted on the Fable 5 page and is not directly comparable to them.
Z.ai's newest flagship, aimed squarely at software engineering, autonomous agents and cybersecurity — and the first open-weights model to beat Claude Mythos 5 on a security benchmark.
Input
$1.40/1M
Output
$4.40/1M
Context
1M tokens
Speed
Balanced
What people actually use it for
Long-horizon autonomous engineering tasks where GLM-5.2 ran out of headroom
Offensive and defensive security tooling — 84.5% on CyberGym, ahead of Claude Mythos 5
Self-hosted or coding-plan deployments that need frontier-adjacent quality at open-weights pricing
Where it wins
Huge agentic gains over GLM-5.2: Terminal-Bench 3.0 from 4.6 to 28.3, DeepSWE v1.1 from 46.2 to 66.9, SWE-Marathon v1.1 from 19.4 to 42.5
84.5% on CyberGym, narrowly ahead of Claude Mythos 5 at 83.8%; ExploitBench more than doubled from 24.4% to 54.4%
88.2% on Terminal-Bench 2.1 with a 1M token context window
Where it falls down
No published SWE-bench Verified score, so it is absent from the benchmark most buyers compare on
Priced identically to GLM-5.2 at $1.40/$4.40 — the upgrade is capability, not value
Skip it if
Your procurement process requires a SWE-bench Verified figure, or you need the closed-frontier reasoning ceiling.
Our verdict
The clear upgrade over GLM-5.2 at the same price — take it unless you specifically need a published SWE-bench Verified number to sign off on. The security benchmark lead over Mythos 5 is the genuinely new thing here.
Released August 14, 2026. Z.ai list pricing is $1.40/$4.40, the same rate as GLM-5.2; resellers discount from that list. Also available through the GLM Coding Plan from $18/mo. Reported GPQA Diamond 91.7% and Artificial Analysis Intelligence Index 59.5.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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FAQ
Is Claude Fable 5.1 better than GLM-5.3?
Claude Fable 5.1 wins on more of the categories we score — coding, research, long context — so it is the better default of the two. GLM-5.3 is the better pick when your work is mostly agentic engineering and security work on open weights. Neither is universally "better": Claude Fable 5.1 is aimed at frontier agentic coding and long-horizon autonomous work, GLM-5.3 at agentic engineering and security work on open weights.
Which is cheaper — Claude Fable 5.1 or GLM-5.3?
GLM-5.3 is cheaper at $1.4/1M input and $4.4/1M output. Claude Fable 5.1 costs $10/1M input and $50/1M output.
Which has a larger context window — Claude Fable 5.1 or GLM-5.3?
Both Claude Fable 5.1 and GLM-5.3 have the same 1M context window.
Is Claude Fable 5.1 or GLM-5.3 better for coding?
Claude Fable 5.1 is better for coding with a score of 100 vs GLM-5.3's 91 (out of 100). Claude Fable 5.1 is the overall coding leader in this directory at 100/100.
Which is faster — Claude Fable 5.1 or GLM-5.3?
GLM-5.3 is faster with a balanced speed rating (score: 3) vs Claude Fable 5.1's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Fable 5.1 latency penalty is usually invisible.
What are the downsides of Claude Fable 5.1?
Base rates are still $10/$50 per 1M — double Claude Opus 5 for anything that is not cache-heavy. Anthropic published no SWE-bench Verified or SWE-bench Pro figure for 5.1 at launch. On Claude Pro it only runs on pay-as-you-go credits; Max includes it up to 50% of weekly limits. Avoid it if you need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding. That is the main case for looking at GLM-5.3 instead.
What are the downsides of GLM-5.3?
No published SWE-bench Verified score, so it is absent from the benchmark most buyers compare on. Priced identically to GLM-5.2 at $1.40/$4.40 — the upgrade is capability, not value. Avoid it if your procurement process requires a SWE-bench Verified figure, or you need the closed-frontier reasoning ceiling. Against Claude Fable 5.1 specifically, the gap shows up most on coding (100 vs 91).
What does a month of real work cost on Claude Fable 5.1 vs GLM-5.3?
Take a moderate workload of 10M input and 2M output tokens a month. Claude Fable 5.1 runs $200.00 (at $10/1M in and $50/1M out); GLM-5.3 runs $22.80 (at $1.4/1M in and $4.4/1M out). That is a $177.20/month difference — GLM-5.3 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.
Can I use Claude Fable 5.1 and GLM-5.3 together?
Yes, and for most teams that beats picking one. A common split is Claude Fable 5.1 for frontier agentic coding and long-horizon autonomous work, with GLM-5.3 handling agentic engineering and security work on open weights. Routing high-volume, low-stakes calls to GLM-5.3 at $1.4/1M and reserving Claude Fable 5.1 for the hard cases is usually the cheapest arrangement that does not cost you quality.