Claude Fable 5.1 wins on coding (100 vs 96) and writing quality. Kimi K3 wins on price ($3 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 2, 2026/Model data modified Sep 2, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$5.00/1M
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.
Kimi K3 is the better pick when response speed matters more than maximum reasoning depth.
MoonshotPremium
Best for
Frontier-level reasoning and agentic coding
Price
$3.00/1M
Context
1M tokens
Why this page recommends it
Claude Fable 5.1 leads on coding with a score of 100 vs 96 for Kimi K3.
Kimi K3 is cheaper at $3/1M input tokens vs $10/1M for Claude Fable 5.1.
Claude Fable 5.1 is the stronger default for coding tasks.
Decision notes
Choose Claude Fable 5.1 for frontier agentic coding, long-horizon autonomous work, and agentic scientific research. Its coding and research scores are what carry the recommendation here.
Switch to Kimi K3 when your work is mostly frontier-level reasoning and agentic coding; on that narrower brief it is the better tool.
Kimi K3 is the more cost-efficient option at $3/1M input — Claude Fable 5.1 costs 3x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Interactive decision lab
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Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
#1Claude Fable 5.191 pts
#2Kimi K388 pts
Quality first
Claude Fable 5.1
Anthropic / Premium / Sep 2, 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
$5.00/1M
Output
$25.00/1M
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.
Moonshot's 2.8-trillion-parameter multimodal reasoning flagship with always-on thinking — the largest open-weight model ever released and the closest Chinese challenger to the Western frontier.
Input
$3.00/1M
Output
$15.00/1M
Context
1M tokens
Speed
Deliberate
What people actually use it for
Hardest reasoning tasks — #4 of all models on AA Intelligence Index v4.1 (57.1), ahead of Claude Opus 4.8
Agentic coding at 81.2 FrontierSWE and 88.3 Terminal-Bench 2.0 (Moonshot-reported)
1M-context research synthesis with always-on extended thinking
Where it wins
AA Intelligence Index v4.1: 57.1 — #4 overall, behind only Claude Fable 5 and GPT-5.6 Sol, ahead of Claude Opus 4.8
Open weights (July 26, 2026) — at 2.8T parameters, the largest open-weight release in history
Where it falls down
Most expensive Chinese-lab model ever ($3/$15) with always-on thinking driving high output-token burn and slow responses
2.8T size makes self-hosting impractical despite open weights; consumer signups were paused July 19 over GPU capacity
Skip it if
You need fast responses or predictable output costs — always-on thinking burns tokens.
Our verdict
The first Chinese model to genuinely crowd the Western frontier — #4 on aggregate intelligence ahead of Opus 4.8. The always-on thinking makes it slow and output-heavy, so cost per task runs above the sticker price. A serious Opus-class alternative if latency isn't critical.
Released July 16, 2026; open weights July 26. Cache-hit input $0.30/1M. Subscriptions: Adagio (free) to Vivace $199/mo; full 1M context only on Allegro ($99) and up. New signups paused July 19 near GPU capacity, reopening in batches.
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 Kimi K3?
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. Kimi K3 is the better pick when your work is mostly frontier-level reasoning and agentic coding. Neither is universally "better": Claude Fable 5.1 is aimed at frontier agentic coding and long-horizon autonomous work, Kimi K3 at frontier-level reasoning and agentic coding.
Which is cheaper — Claude Fable 5.1 or Kimi K3?
Kimi K3 is cheaper at $3/1M input and $15/1M output. Claude Fable 5.1 costs $10/1M input and $50/1M output.
Which has a larger context window — Claude Fable 5.1 or Kimi K3?
Both Claude Fable 5.1 and Kimi K3 have the same 1M context window.
Is Claude Fable 5.1 or Kimi K3 better for coding?
Claude Fable 5.1 is better for coding with a score of 100 vs Kimi K3's 96 (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 Kimi K3?
Both Claude Fable 5.1 and Kimi K3 have similar speed profiles — rated deliberate. Neither will be the bottleneck if latency is your deciding factor.
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 Kimi K3 instead.
What are the downsides of Kimi K3?
Most expensive Chinese-lab model ever ($3/$15) with always-on thinking driving high output-token burn and slow responses. 2.8T size makes self-hosting impractical despite open weights; consumer signups were paused July 19 over GPU capacity. Avoid it if you need fast responses or predictable output costs — always-on thinking burns tokens. Against Claude Fable 5.1 specifically, the gap shows up most on coding (100 vs 96).
What does a month of real work cost on Claude Fable 5.1 vs Kimi K3?
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); Kimi K3 runs $60.00 (at $3/1M in and $15/1M out). That is a $140.00/month difference — Kimi K3 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 Kimi K3 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 Kimi K3 handling frontier-level reasoning and agentic coding. Routing high-volume, low-stakes calls to Kimi K3 at $3/1M and reserving Claude Fable 5.1 for the hard cases is usually the cheapest arrangement that does not cost you quality.