Model profile
Anthropic
New in 2026

Anthropic: Claude Fable 5

Anthropic: Claude Fable 5 is a premium-priced multimodal generalist from Anthropic with heavy runtime profile, large context posture, and the clearest fit around long-context research / coding.

Best for: Long-context research / CodingHeavy latencyLarge contextPremium pricing
Intelligence
62.1

Benchmark blend

Coding
76.5

Dev workflow signal

Context
1000K Tokens

Large

Input Price
$10.00

Premium tier

Decision snapshot
60

Anthropic: Claude Fable 5 currently reads as a premium multimodal option with large context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Coding
Latency tier
Heavy
Price tier
Premium
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
62.1
62

General reasoning and benchmark headroom.

Competitive
Speed
68 tok/s
24

TTFT 67.41s

Limited
Context
1000K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$10.00
38

$50.00 output / 1M

Expensive

Editorial Profile

Anthropic: Claude Fable 5 in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score 77Math score N/AVision enabled

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

Identity

Anthropic multimodal profile

Positioning

Long-context research / Coding with large context and heavy runtime.

Cost posture

Premium spend profile. Best when the upside justifies tighter budget control.

Strengths
  • Coding indicators point to a strong developer workflow fit.

  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Pricing sits in premium territory, so bulk usage needs tighter cost controls.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

Best fit
  • Code generation, refactors, test writing, and tool-assisted debugging.

  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Context
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Input Price
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Context
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Intelligence
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Context
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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
62.1
GPQA
92.6%
HLE
55.5%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
76.5
SciCode
60.2%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
63.5%
TAU2
98.5%
TerminalBench Hard
62.9%
LCR
76.7%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
1000K Tokens
Vision
Enabled
Modalities
file, image, text
Tokenizer
Claude
Max Completion
128000
Moderation
No
Supported Parameters
include_reasoningmax_completion_tokensmax_tokensreasoningreasoning_effortresponse_formatstopstructured_outputstool_choicetoolsverbosity
Input Modalities
fileimagetext
Output Modalities
text
Price architecture
Input
per 1M input tokens
$10.00
Output
per 1M output tokens
$50.00
Blended
AA 3:1 mix
$20.00

This model trades into premium territory. It makes sense when capability upside matters more than raw volume efficiency.

OR Web Search Price
$0.0100
OR Cache Read
$0.00
OR Cache Write
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.