ERNIE 4.5 0.3B PT vs Llama 3.1 405B Instruct

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens131K131K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldERNIE-4.5-0.3B-PTLlama-3.1-405B-Instruct
DeveloperBaiduMeta
FamilyErnie 4 5 0 3b PtLlama 3 1 405b Instruct
ModelERNIE-4.5-0.3B-PTLlama-3.1-405B-Instruct
VersionERNIE-4.5-0.3B-PTLlama-3.1-405B-Instruct
Lifecycleactiveactive
ReleasedUnknown2024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K131K
Total parameters360.7M405.9B
Active parametersUnknownUnknown
Licenseapache-2.0llama3.1
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownTogether Ai (Standard)
Capabilitieschat, generationchat, generation, tools

ERNIE 4.5 0.3B PT Capabilities

chatgeneration
Serving providers0
Canonical IDbaidu/ERNIE-4.5-0.3B-PT

Llama 3.1 405B Instruct Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-3.1-405B-Instruct

Primary Evidence

Sources and Freshness

Questions

ERNIE 4.5 0.3B PT vs Llama 3.1 405B Instruct FAQs

Is ERNIE 4.5 0.3B PT or Llama 3.1 405B Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and Llama 3.1 405B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, ERNIE 4.5 0.3B PT or Llama 3.1 405B Instruct?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, ERNIE 4.5 0.3B PT or Llama 3.1 405B Instruct?+

Neither model has a larger sourced context window in this comparison. ERNIE 4.5 0.3B PT is 131K and Llama 3.1 405B Instruct is 131K.

Which performs better in benchmarks, ERNIE 4.5 0.3B PT or Llama 3.1 405B Instruct?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can ERNIE 4.5 0.3B PT or Llama 3.1 405B Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. ERNIE 4.5 0.3B PT is open weight; Llama 3.1 405B Instruct is open weight.

Can ERNIE 4.5 0.3B PT and Llama 3.1 405B Instruct understand images?+

ERNIE 4.5 0.3B PT is not documented with image input; Llama 3.1 405B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 4.5 0.3B PT or Llama 3.1 405B Instruct?+

Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and Llama 3.1 405B Instruct is —.

Do ERNIE 4.5 0.3B PT and Llama 3.1 405B Instruct support reasoning and tool use?+

ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Llama 3.1 405B Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 4.5 0.3B PT or Llama 3.1 405B Instruct?+

ERNIE 4.5 0.3B PT has 0 sourced provider routes; Llama 3.1 405B Instruct has 1, so Llama 3.1 405B Instruct has broader tracked availability.

Which offers better value, ERNIE 4.5 0.3B PT or Llama 3.1 405B Instruct?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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