SSyncDev

AI model comparison

Llama 3.1 405B vs Claude Fable 5@Us East 1

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

This Llama 3.1 405B vs Claude Fable 5@Us East 1 comparison is designed for teams choosing between two production model records, not for declaring a universal winner. Llama 3.1 405B by Meta currently records 128K context, 4.1K maximum output, $3.50 input per 1M tokens, $3.50 output per 1M tokens, 30 t/s recorded output speed, 0.70s recorded time to first token. Claude Fable 5@Us East 1 by Bedrock via Requesty records 1M context, 128K maximum output, $11.00 input per 1M tokens, $55.00 output per 1M tokens. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.

Side-by-sideSpecs and pricing, compared

Meta

Llama 3.1 405B

Meta's largest open-weights model, competitive with frontier closed models.

Context
128K
Max output
4.1K
Input / 1M
$3.50
Output / 1M
$3.50
Output speed
30 t/s

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗
VS

Bedrock via Requesty

Claude Fable 5@Us East 1

Claude Fable 5 is Anthropic's most capable generally available model for autonomous knowledge work and coding. It is a Mythos-class model with robust safeguards. It can handle long-running, complex, and asynchronous tasks where previous models would have needed more frequent check-ins.

Context
1M
Max output
128K
Input / 1M
$11.00
Output / 1M
$55.00
Output speed
—

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profileVendor docs ↗

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Llama 3.1 405B leads in recorded data

  • Input price: $3.50
  • Output price: $3.50

Where Claude Fable 5@Us East 1 leads in recorded data

  • Context capacity: 1M
  • Maximum output: 128K

Context capacity

Higher listed limit

Llama 3.1 405B:128K

Claude Fable 5@Us East 1:1M

Claude Fable 5@Us East 1

Maximum output

Higher listed limit

Llama 3.1 405B:4.1K

Claude Fable 5@Us East 1:128K

Claude Fable 5@Us East 1

Input price

Lower recorded price

Llama 3.1 405B:$3.50

Claude Fable 5@Us East 1:$11.00

Llama 3.1 405B

Output price

Lower recorded price

Llama 3.1 405B:$3.50

Claude Fable 5@Us East 1:$55.00

Llama 3.1 405B

Output speed

Higher recorded throughput

Llama 3.1 405B:30 t/s

Claude Fable 5@Us East 1:—

No complete comparison

Time to first token

Lower recorded latency

Llama 3.1 405B:0.70s

Claude Fable 5@Us East 1:—

No complete comparison

Intelligence Index

Higher directory index

Llama 3.1 405B:74.0

Claude Fable 5@Us East 1:—

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationLlama 3.1 405BClaude Fable 5@Us East 1
ProviderMetaBedrock via Requesty
Model familyLlama 3.1—
Accepted inputstexttext, image
Produced outputstexttext
Context window128K1MRecorded lead
Max output4.1K128KRecorded lead
Intelligence Index74.0—
Input price / 1M$3.50Recorded lead$11.00
Output price / 1M$3.50Recorded lead$55.00
Output speed30 t/s—
Time to first token0.70s—
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseOpen weightsNot documented
ReleasedJul 23, 2024Not documented

Workload guidance

Which model should you choose?

Llama 3.1 405B currently leads on lower recorded input price, lower recorded output price. Claude Fable 5@Us East 1 currently leads on larger context, larger maximum output. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

Open model comparison