ERNIE 5.1 vs Stable Diffusion 3.5 Medium

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens131K0K
Model facts checkedAug 29, 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 →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

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 5.1stable-diffusion-3.5-medium
DeveloperBaiduStability AI
FamilyErnie 5Stable Diffusion 3 5 Medium
ModelERNIE 5.1stable-diffusion-3.5-medium
VersionERNIE 5.1stable-diffusion-3.5-medium
Lifecycleactiveactive
ReleasedUnknown2024-10-29
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextImage
Context window131K0K
Total parametersUnknown2.5B
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessBaidu Qianfan (Standard)Hugging Face (Standard), Stability AI (Pay as you go)
Capabilitiesagents, chat, reasoning, search, toolsgeneration

ERNIE 5.1 Capabilities

agentschatreasoningsearchtools
Serving providers1
Canonical IDbaidu/ernie-5.1

Stable Diffusion 3.5 Medium Capabilities

generation
Serving providers2
Canonical IDstabilityai/stable-diffusion-3.5-medium

Primary Evidence

Sources and Freshness

Questions

ERNIE 5.1 vs Stable Diffusion 3.5 Medium FAQs

Is ERNIE 5.1 or Stable Diffusion 3.5 Medium better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and Stable Diffusion 3.5 Medium, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, ERNIE 5.1 or Stable Diffusion 3.5 Medium?+

Only ERNIE 5.1 has a directly sourced input price: $4.00 per million tokens. Only ERNIE 5.1 has a directly sourced output price: $18.00 per million tokens.

Which has a larger context window, ERNIE 5.1 or Stable Diffusion 3.5 Medium?+

ERNIE 5.1 has the larger sourced context window. ERNIE 5.1 supports 131K and Stable Diffusion 3.5 Medium supports 0K.

Which performs better in benchmarks, ERNIE 5.1 or Stable Diffusion 3.5 Medium?+

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

Can ERNIE 5.1 or Stable Diffusion 3.5 Medium be self-hosted?+

Stable Diffusion 3.5 Medium is the only model in this pair currently marked as self-hostable. ERNIE 5.1 is not marked open weight; Stable Diffusion 3.5 Medium is open weight.

Can ERNIE 5.1 and Stable Diffusion 3.5 Medium understand images?+

ERNIE 5.1 is not documented with image input; Stable Diffusion 3.5 Medium is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 5.1 or Stable Diffusion 3.5 Medium?+

Neither has a larger sourced maximum output. ERNIE 5.1 is 66K and Stable Diffusion 3.5 Medium is —.

Do ERNIE 5.1 and Stable Diffusion 3.5 Medium support reasoning and tool use?+

ERNIE 5.1: reasoning and tool calling. Stable Diffusion 3.5 Medium: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 5.1 or Stable Diffusion 3.5 Medium?+

ERNIE 5.1 has 1 sourced provider route; Stable Diffusion 3.5 Medium has 2, so Stable Diffusion 3.5 Medium has broader tracked availability.

Which offers better value, ERNIE 5.1 or Stable Diffusion 3.5 Medium?+

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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