SSyncDev

AI model comparison

Gemini Embedding 001 vs Llama 3.1 405B

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

This Gemini Embedding 001 vs Llama 3.1 405B comparison is designed for teams choosing between two production model records, not for declaring a universal winner. Gemini Embedding 001 by Google currently records 2.0K context, 1 maximum output, $0.15 input per 1M tokens, $0.00 output per 1M tokens. Llama 3.1 405B by Meta 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. 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

Google

Gemini Embedding 001

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Context
2.0K
Max output
1
Input / 1M
$0.15
Output / 1M
$0.00
Output speed
—

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗
VS

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 ↗

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 Gemini Embedding 001 leads in recorded data

  • Input price: $0.15
  • Output price: $0.00

Where Llama 3.1 405B leads in recorded data

  • Context capacity: 128K
  • Maximum output: 4.1K

Context capacity

Higher listed limit

Gemini Embedding 001:2.0K

Llama 3.1 405B:128K

Llama 3.1 405B

Maximum output

Higher listed limit

Gemini Embedding 001:1

Llama 3.1 405B:4.1K

Llama 3.1 405B

Input price

Lower recorded price

Gemini Embedding 001:$0.15

Llama 3.1 405B:$3.50

Gemini Embedding 001

Output price

Lower recorded price

Gemini Embedding 001:$0.00

Llama 3.1 405B:$3.50

Gemini Embedding 001

Output speed

Higher recorded throughput

Gemini Embedding 001:—

Llama 3.1 405B:30 t/s

No complete comparison

Time to first token

Lower recorded latency

Gemini Embedding 001:—

Llama 3.1 405B:0.70s

No complete comparison

Intelligence Index

Higher directory index

Gemini Embedding 001:—

Llama 3.1 405B:74.0

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

SpecificationGemini Embedding 001Llama 3.1 405B
ProviderGoogleMeta
Model familygeminiLlama 3.1
Accepted inputstexttext
Produced outputstexttext
Context window2.0K128KRecorded lead
Max output14.1KRecorded lead
Intelligence Index—74.0
Input price / 1M$0.15Recorded lead$3.50
Output price / 1M$0.00Recorded lead$3.50
Output speed—30 t/s
Time to first token—0.70s
Reasoning modeNot documentedNot documented
Tool callingNot documentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryOpen weights
ReleasedMay 20, 2025Jul 23, 2024

Workload guidance

Which model should you choose?

Gemini Embedding 001 currently leads on lower recorded input price, lower recorded output price. Llama 3.1 405B 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