SSyncDev

AI model comparison

Qwen3 32B 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 Qwen3 32B vs Llama 3.1 405B comparison is designed for teams choosing between two production model records, not for declaring a universal winner. Qwen3 32B by Alibaba currently records 131.1K context, 16.4K maximum output, $0.70 input per 1M tokens, $2.80 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

Alibaba

Qwen3 32B

Dense open Qwen model for self-hosted chat, reasoning, and coding

Context
131.1K
Max output
16.4K
Input / 1M
$0.70
Output / 1M
$2.80
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 Qwen3 32B leads in recorded data

  • Context capacity: 131.1K
  • Maximum output: 16.4K
  • Input price: $0.70
  • Output price: $2.80

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.

Context capacity

Higher listed limit

Qwen3 32B:131.1K

Llama 3.1 405B:128K

Qwen3 32B

Maximum output

Higher listed limit

Qwen3 32B:16.4K

Llama 3.1 405B:4.1K

Qwen3 32B

Input price

Lower recorded price

Qwen3 32B:$0.70

Llama 3.1 405B:$3.50

Qwen3 32B

Output price

Lower recorded price

Qwen3 32B:$2.80

Llama 3.1 405B:$3.50

Qwen3 32B

Output speed

Higher recorded throughput

Qwen3 32B:—

Llama 3.1 405B:30 t/s

No complete comparison

Time to first token

Lower recorded latency

Qwen3 32B:—

Llama 3.1 405B:0.70s

No complete comparison

Intelligence Index

Higher directory index

Qwen3 32B:—

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

SpecificationQwen3 32BLlama 3.1 405B
ProviderAlibabaMeta
Model familyqwenLlama 3.1
Accepted inputstexttext
Produced outputstexttext
Context window131.1KRecorded lead128K
Max output16.4KRecorded lead4.1K
Intelligence Index—74.0
Input price / 1M$0.70Recorded lead$3.50
Output price / 1M$2.80Recorded lead$3.50
Output speed—30 t/s
Time to first token—0.70s
Reasoning modeDocumentedNot documented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseOpen weightsOpen weights
ReleasedApr 1, 2025Jul 23, 2024

Workload guidance

Which model should you choose?

Qwen3 32B currently leads on larger context, larger maximum output, lower recorded input price, lower recorded output price. Llama 3.1 405B has no complete recorded factor that establishes a lead. 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