SSyncDev

AI model comparison

Llama 3.1 405B vs Kat Coder Pro

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 Kat Coder Pro 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. Kat Coder Pro by Novita via Requesty records 256K context, $0.30 input per 1M tokens, $1.20 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

Novita via Requesty

Kat Coder Pro

KAT-Coder-Pro V2 by KwaiKAT is a non-reasoning model optimized for agentic coding. It delivers strong performance on reasoning-style tasks while requiring significantly fewer output tokens than peer models. With the 1210 release, it achieved a score of 64 on the Artificial Analysis Intelligence Index, placing it in the global Top 10 and ranking first among all non-reasoning models.

Context
256K
Max output
—
Input / 1M
$0.30
Output / 1M
$1.20
Output speed
—

Accepts

  • Text 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

No complete recorded factor currently favors this model. That does not establish lower real-world quality.

Where Kat Coder Pro leads in recorded data

  • Context capacity: 256K
  • Input price: $0.30
  • Output price: $1.20

Context capacity

Higher listed limit

Llama 3.1 405B:128K

Kat Coder Pro:256K

Kat Coder Pro

Maximum output

Higher listed limit

Llama 3.1 405B:4.1K

Kat Coder Pro:—

No complete comparison

Input price

Lower recorded price

Llama 3.1 405B:$3.50

Kat Coder Pro:$0.30

Kat Coder Pro

Output price

Lower recorded price

Llama 3.1 405B:$3.50

Kat Coder Pro:$1.20

Kat Coder Pro

Output speed

Higher recorded throughput

Llama 3.1 405B:30 t/s

Kat Coder Pro:—

No complete comparison

Time to first token

Lower recorded latency

Llama 3.1 405B:0.70s

Kat Coder Pro:—

No complete comparison

Intelligence Index

Higher directory index

Llama 3.1 405B:74.0

Kat Coder Pro:—

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 405BKat Coder Pro
ProviderMetaNovita via Requesty
Model familyLlama 3.1—
Accepted inputstexttext
Produced outputstexttext
Context window128K256KRecorded lead
Max output4.1K—
Intelligence Index74.0—
Input price / 1M$3.50$0.30Recorded lead
Output price / 1M$3.50$1.20Recorded lead
Output speed30 t/s—
Time to first token0.70s—
Reasoning modeNot documentedNot documented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputDocumentedNot documented
LicenseOpen weightsNot documented
ReleasedJul 23, 2024Not documented

Workload guidance

Which model should you choose?

Llama 3.1 405B has no complete recorded factor that establishes a lead. Kat Coder Pro currently leads on larger context, lower recorded input price, lower recorded output price. 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