Long documents
Prompts that approach the documented context limit
Claude Fable 5.1
Claude Fable 5.1 has the larger documented context window.
Updated October 17, 2026. Rank says Claude Fable 5.1 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Claude Fable 5.1 has the higher public point estimate, 83.18 versus 34.09. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. 1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Prompts that approach the documented context limit
Claude Fable 5.1
Claude Fable 5.1 has the larger documented context window.
1K fresh input + 500 output tokens
Grok Code Fast 1
Grok Code Fast 1 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Grok Code Fast 1
Grok Code Fast 1 has the lower estimated token cost for this stated workload. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
50K fresh input + 3K output tokens
Grok Code Fast 1
Grok Code Fast 1 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Grok Code Fast 1 is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Grok Code Fast 1 is not ranked on the public lane for agentic, so no winner is named for agentic.
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
Directional only · BenchAlign v5.8
Claude Fable 5.1 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
LiveCodeBench (Vals)Coding
Normalized gap 28.5Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | Claude Fable 5.1 | Grok Code Fast 1 | Basis | Reading |
|---|---|---|---|---|
| Coding | 76.8Supported · #3/150 | 16.7Estimated · #127/150 | Directional onlyBenchAlign v5.8 lane · 11 vs 2 public rows | Directional only |
| Knowledge | 86.9Supported · #2/184 | 35.9Estimated · #131/184 | Directional onlyBenchAlign v5.8 lane · 4 vs 0 public rows | Directional only |
| Agentic | 80.9Supported · #2/128 | Not ranked | Not comparableBenchAlign v5.8 lane · 12 vs 0 public rows | Not comparable |
| Reasoning | 85.2#4/28 | 62.3Unranked · 2 rankable rows | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 48.2#98/148 | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | 96.8Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Grok Code Fast 1 has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Grok Code Fast 1 has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Grok Code Fast 1 has the lower modeled cost
Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Claude Fable 5.1
Grok Code Fast 1
256K
Claude Fable 5.1
claude-fable-5-1
Anthropic Fable 5.1 and Mythos 5.1 launchGrok Code Fast 1
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Fable 5.1
$0.25 per 1M cached input tokens
Anthropic Fable 5.1 launchGrok Code Fast 1
Not published
Claude Fable 5.1
Not sourced
Grok Code Fast 1
Not sourced
Claude Fable 5.1
Not sourced
Grok Code Fast 1
Not sourced
Claude Fable 5.1
Generally Available · Claude API, Claude products, AWS, Google Cloud, Microsoft Azure
Anthropic Fable 5.1 and Mythos 5.1 launchGrok Code Fast 1
Not sourced
Claude Fable 5.1
Reasoning
Grok Code Fast 1
Non-Reasoning
Claude Fable 5.1
Proprietary
Grok Code Fast 1
Proprietary
Claude Fable 5.1
Proprietary
Grok Code Fast 1
Proprietary
Claude Fable 5.1
2026-09-01
Grok Code Fast 1
2025-08-28
Claude Fable 5.1 has the higher public point estimate, 83.18 versus 34.09. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.
Claude Fable 5.1 scores higher for coding on the public lane, 76.8 to 16.7. Grok Code Fast 1 is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Grok Code Fast 1 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
For the stated presets, chat costs $0.035 on Claude Fable 5.1 and $0.00095 on Grok Code Fast 1; repository review costs $0.65 and $0.0145; the cache-heavy agent loop costs $0.75 and $0.059. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Claude Fable 5.1 has the larger documented context window: 1M, compared with 256K.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 4.0
Not directly comparable
Terminal-Bench-Science 0.1
Not directly comparable
OSWorld 2.0
Not directly comparable
AutomationBench
Not directly comparable
Toolathlon-Verified
Not directly comparable
Toolathlon Verified Pass@3
Not directly comparable
Toolathlon Verified Pass³
Not directly comparable
Toolathlon Verified avg. turns
Not directly comparable
Terminal-Bench 2.1 (Vals)
Not directly comparable
ApprenticeBench
Not directly comparable
CWE-bench v1
Not directly comparable
MazeBench
Not directly comparable
Bug Hunt Bench
Not directly comparable
SWE-bench Pro
Not directly comparable
SWE Multilingual
Not directly comparable
SWE Multimodal
Not directly comparable
DeepSWE
Not directly comparable
FrontierSWE v2
Not directly comparable
ProgramBench
Not directly comparable
CursorBench 3.2
Not directly comparable
LiveCodeBench (Vals)
Claude Fable 5.1 leads this result
CursorBench 4.0
Not directly comparable
PostTrainBench v1.1
Not directly comparable
SWE-bench Verified
Not directly comparable
HLE
Not directly comparable
HLE w/o tools
Not directly comparable
GPQA Diamond (Vals)
Not directly comparable
MMLU-Pro (Vals)
Not directly comparable
Gray Swan IPI (15 attempts)
Not directly comparable
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Last updated October 17, 2026