Grok 4.6 (SpaceXAI, August 12, 2026) and Claude Fable 5 (Anthropic, June 9, 2026) sit at opposite ends of the frontier-model spectrum. Grok 4.6 is the value play — frontier intelligence at $2/$6 per million tokens. Fable 5 is the premium specialist — Anthropic's first Mythos-class model, built for long-horizon autonomous work at $10/$50.

This guide compares the two across benchmarks, pricing, speed, latency, and context. Figures are drawn from xAI's launch table, Anthropic's documentation, Artificial Analysis, and independent reviews.

TL;DR: Fable 5 wins the overall intelligence index (62 vs 61) and leads most coding-agent benchmarks, but costs 5× more on input and 8× more on output. Grok 4.6 counters with wins in professional knowledge work (GDPVal-AA, AA-Briefcase, Harvey LAB) and dramatically better economics. It's a classic capability vs. value trade-off.

At a Glance

CategoryGrok 4.6Claude Fable 5
Release dateAugust 12, 2026June 9, 2026
DeveloperSpaceXAIAnthropic
Model classFrontier (post-training refresh)Mythos-class (above Opus)
Context window500,000 tokens1,000,000 tokens
Max output128,000 tokens
Input price$2 / 1M$10 / 1M
Output price$6 / 1M$50 / 1M
Prompt caching$0.50 / 1M cached90% input discount
ReasoningLow, medium, high, xhighAdaptive thinking (always on)
Model IDgrok-4.6claude-fable-5

Benchmark Comparison

Here is the head-to-head from xAI's official Grok 4.6 launch table (comparing each model's highest reasoning setting). Fable 5 leads the overall index and most coding-agent rows; Grok wins the professional knowledge-work evaluations.

EvaluationGrok 4.6 HighFable 5 MaxLeader
AA Intelligence Index6162Fable 5
GDPVal-AA v217531741Grok 4.6
CursorBench v3.269.9%70.5%Fable 5
DeepSWE v1.165.9%70.0%Fable 5
FrontierCode v1.1 (Ext)61.3%63.6%Fable 5
APEX-Agents57.5%59.2%Fable 5
Terminal-Bench v3.026.0%34.1%Fable 5
APEX-SWE56.4%58.8%Fable 5
AA-Briefcase15771574Grok 4.6
Harvey LAB (Vals)15.8%11.3%Grok 4.6

Source: xAI "Introducing Grok 4.6" (Aug 12, 2026). Vendor-reported; third-party scores are the best of self-reported or publicly available results.

Benchmark Head-to-Head

Fable 5's leads are consistent but modest on most coding rows (0.6–2.3 points), with a larger gap on Terminal-Bench (8.1 points) and DeepSWE (4.1 points). Grok's wins are concentrated in professional knowledge work — GDPVal-AA, AA-Briefcase, and a notably large Harvey LAB lead (15.8% vs 11.3%).

Capability Radar

Radar values are normalized (0–100) from the benchmark table for visual comparison only.

Pricing: The Deciding Factor

This is where the two models diverge most sharply. Fable 5 is 5× more expensive on input and 8.3× on output:

Cost componentGrok 4.6Claude Fable 5
Input (per 1M)$2$10
Output (per 1M)$6$50
Cached input$0.50$1 (90% off $10)
Long-context band2× above 200KFlat 1M price

Consider a hypothetical agent task using 1M input + 250K output tokens:

At headline rates, that task costs roughly $3.50 on Grok 4.6 vs. $22.50 on Fable 5 — a 6.4× difference. Fable 5's premium is only rational if it succeeds where Grok needs several retries, or if its token efficiency (fewer turns, fewer tool calls) closes the gap. Anthropic reports Fable 5 finishes complex tasks in fewer turns, which can offset the sticker price on the right workloads.

Speed & Latency

Both models are "thinking" models with significant time-to-first-token. But Fable 5's always-on adaptive thinking makes it dramatically slower to start:

Metric (Artificial Analysis)Grok 4.6 (high)Fable 5 (max effort)
Output speed85.8 t/s~63–68 t/s
Time to first token32.3 s~109–137 s

Grok 4.6 is faster on both axes. It generates ~85.8 tokens/second versus Fable 5's ~63–68, and starts answering in ~32 seconds versus Fable 5's ~109–137 seconds at max effort. Fable 5's latency is dominated by "thinking" time, which scales with the effort setting — lower-effort requests start substantially faster, but thinking cannot be disabled entirely.

Context Window: Fable 5 Doubles Grok

Fable 5 ships a 1,000,000-token context window (with 128K max output) — double Grok 4.6's 500K. For very long documents, large monorepos, or multi-hour agent sessions, Fable 5 holds more working context in a single pass. Grok 4.6's 500K is still generous, but it's a clear spec disadvantage for the longest-horizon work.

Verdict: Which Should You Choose?

Choose Claude Fable 5 if you're assigning very long, ambiguous engineering projects — repository-scale migrations, multi-day autonomous work, or anything where a single failed attempt costs more than the model premium. Its 1M context and stronger coding-agent scores justify the price when reliability is paramount.
Choose Grok 4.6 if cost and throughput matter across many coding or knowledge-work runs. It delivers 98% of Fable 5's overall intelligence at a fraction of the price, and actually beats Fable on professional document and structured knowledge work.

The smartest setup for many teams is a router: use Grok 4.6 as the default value lane for routine coding, research, and office-style workflows, and escalate the hardest long-horizon engineering tasks to Fable 5. Run the same 20–50 tasks through both with an identical harness, and measure completion rate, total tokens, and human review time — not just benchmark prestige.

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