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Home/Claude Fable 5.1 vs Grok 4.6
Winner: Claude Fable 5.1Anthropic vs xAI

Claude Fable 5.1 vs Grok 4.6

Claude Fable 5.1 wins on coding (100 vs 86) and writing quality and context window (1M vs 500K). Grok 4.6 wins on price ($2 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.

Best overall model

Claude Fable 5.1

View
Why this recommendation

Claude Fable 5.1 is the safest overall answer here when you want the strongest default instead of the lowest list price.

AnthropicPremium
Best for
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Price
$5.00/1M
Context
1M tokens
Best budget model

Mistral: Mistral Nemo

View
Why this recommendation

Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.

MistralBudget
Best for
Teams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale.
Price
$0.02/1M
Context
131k tokens
Best for speed

Grok 4.6

View
Why this recommendation

Grok 4.6 is the better pick when response speed matters more than maximum reasoning depth.

xAIBalanced
Best for
Long-running agents and multi-step codebase work
Price
$2.00/1M
Context
500k tokens

Why this page recommends it

Claude Fable 5.1 leads on coding with a score of 100 vs 86 for Grok 4.6.

Claude Fable 5.1 has the larger context window: 1M vs 500K for Grok 4.6.

Grok 4.6 is cheaper at $2/1M input tokens vs $10/1M for Claude Fable 5.1.

Decision notes

Go with Claude Fable 5.1 if you want one model to handle coding and research — it targets frontier agentic coding, long-horizon autonomous work, and agentic scientific research.

Grok 4.6 earns its place when your work is mostly long-running agents and multi-step codebase work, even though it loses the overall count here.

Grok 4.6 is the more cost-efficient option at $2/1M input — Claude Fable 5.1 costs 5x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.

Interactive decision lab

Test the recommendation against your priority

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
#2Grok 4.682 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.

Cost
$5.00/1M
$25.00/1M out
Speed
Deliberate
2/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick 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.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

AnthropicPremiumWinner: Claude Fable 5.1

Claude Fable 5.1

New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

Best use case
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Input
$5.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderFrontierAgentic
xAIBalancedOption 2

Grok 4.6

Finishes agent tasks in half the turns — cheap where it counts.

Best use case
Long-running agents and multi-step codebase work
Input
$2.00/1M
Pricing
Balanced
Speed
Fast
Context
500k tokens
AgenticReasoningTurn-efficient

Side-by-side specs

Every figure below is the provider's list price or a published capability score — the same numbers the recommendation on this page is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Fable 5.1Anthropic$5.00/1M$25.00/1M$1001M tokensDeliberate10098100
Grok 4.6xAI$2.00/1M$6.00/1M$32500k tokensFast868488

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.

Claude Fable 5.1

Winner: Claude Fable 5.1Anthropic

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.

Grok 4.6

xAI

xAI's long-horizon agent model — it finishes agentic tasks in roughly half the turns of its rivals, which makes it cheaper in practice than its per-token price suggests.

Input
$2.00/1M
Output
$6.00/1M
Context
500k tokens
Speed
Fast

What people actually use it for

  • Long-horizon research agents that work a topic across many sequential steps
  • Working through an unfamiliar codebase over an extended agent session
  • Interactive and visual work where turn count drives the real bill

Where it wins

  • Roughly half the turns of competing models on agent tasks — real cost per completed task lands well below the sticker price
  • 88.4% on Terminal-Bench 2.1 and 87.0% on VulcanBench v3
  • Artificial Analysis Intelligence Index of 61, 4th overall and within reach of Claude Opus 5

Where it falls down

  • No published SWE-bench Verified or SWE-bench Pro figure, so it cannot be compared directly on the standard coding leaderboard
  • GPT-5.6 Sol Max beats it on DeepSWE v1.1 and Terminal-Bench 3.0
  • Prompts of 200K tokens or more are billed at $4/$12 across the entire request, not just the overage

Skip it if

You need a published SWE-bench score to justify the pick, or your prompts routinely cross 200K tokens where the price doubles.

Our verdict

Buy it for turn efficiency, not for benchmark ceilings. On long agent runs, finishing in half the turns beats a model that scores two points higher and takes twice as many round trips.

Released August 12, 2026, succeeding Grok 4.5. Long-context billing is a cliff, not a ramp: at 200K tokens and above the whole request is charged at $4/$12. DeepSWE 65.9%, CursorBench 3.2 70.8%, FrontierCode 1.1 Extended 61.3%, Terminal-Bench 3.0 26.5%, APEX-Agents 57.5%.

Explore related decisions

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Comparison
Grok 4.6 vs Claude Opus 5Grok 4.6 vs Claude Opus 5 — see exactly which wins on SWE-bench coding, price per 1M tokens, context window, and speed, with a clear verdict for every use case.Read guide
Comparison
Grok 4.6 vs GPT-5.6 SolGrok 4.6 vs GPT-5.6 Sol — see exactly which wins on SWE-bench coding, price per 1M tokens, context window, and speed, with a clear verdict for every use case.Read guide
Anthropic
Claude Fable 5.1New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.Read guide
xAI
Grok 4.6Finishes agent tasks in half the turns — cheap where it counts.Read guide
Alternatives
Best Claude Fable 5.1 AlternativesLooking for a Claude Fable 5.1 alternative? Compare 4 rivals on real capability scores, price per 1M tokens, and context size — including cheaper and…Read guide
Alternatives
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FAQ

Is Claude Fable 5.1 better than Grok 4.6?

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. Grok 4.6 is the better pick when your work is mostly long-running agents and multi-step codebase work. Neither is universally "better": Claude Fable 5.1 is aimed at frontier agentic coding and long-horizon autonomous work, Grok 4.6 at long-running agents and multi-step codebase work.

Which is cheaper — Claude Fable 5.1 or Grok 4.6?

Grok 4.6 is cheaper at $2/1M input and $6/1M output. Claude Fable 5.1 costs $10/1M input and $50/1M output.

Which has a larger context window — Claude Fable 5.1 or Grok 4.6?

Claude Fable 5.1 has the larger context window at 1M tokens vs Grok 4.6's 500K. For large document analysis, Claude Fable 5.1 is the stronger pick.

Is Claude Fable 5.1 or Grok 4.6 better for coding?

Claude Fable 5.1 is better for coding with a score of 100 vs Grok 4.6's 86 (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 Grok 4.6?

Grok 4.6 is faster with a fast speed rating (score: 4) 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 Grok 4.6 instead.

What are the downsides of Grok 4.6?

No published SWE-bench Verified or SWE-bench Pro figure, so it cannot be compared directly on the standard coding leaderboard. GPT-5.6 Sol Max beats it on DeepSWE v1.1 and Terminal-Bench 3.0. Prompts of 200K tokens or more are billed at $4/$12 across the entire request, not just the overage. Avoid it if you need a published SWE-bench score to justify the pick, or your prompts routinely cross 200K tokens where the price doubles. Against Claude Fable 5.1 specifically, the gap shows up most on coding (100 vs 86).

What does a month of real work cost on Claude Fable 5.1 vs Grok 4.6?

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); Grok 4.6 runs $32.00 (at $2/1M in and $6/1M out). That is a $168.00/month difference — Grok 4.6 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 Grok 4.6 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 Grok 4.6 handling long-running agents and multi-step codebase work. Routing high-volume, low-stakes calls to Grok 4.6 at $2/1M and reserving Claude Fable 5.1 for the hard cases is usually the cheapest arrangement that does not cost you quality.