ERNIE 4.5 0.3B PT vs Gemini 2.5 Pro

At a Glance

Compare
Gemini 2.5 ProGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.25Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$10.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens131K1,049K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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-PTGemini 2.5 Pro
DeveloperBaiduGoogle DeepMind
FamilyErnie 4 5 0 3b PtGemini 2 5
ModelERNIE-4.5-0.3B-PTGemini 2.5 Pro
VersionERNIE-4.5-0.3B-PTGemini 2.5 Pro
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2025-01-01
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesTextText
Context window131K1,049K
Total parameters360.7MUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownGoogle AI (Standard), Google Gemini (Standard)
Capabilitieschat, generationchat, generation, reasoning, tools

ERNIE 4.5 0.3B PT Capabilities

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

Gemini 2.5 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Primary Evidence

Sources and Freshness

Questions

ERNIE 4.5 0.3B PT vs Gemini 2.5 Pro FAQs

Is ERNIE 4.5 0.3B PT or Gemini 2.5 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and Gemini 2.5 Pro, 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 Gemini 2.5 Pro?+

Only Gemini 2.5 Pro has a directly sourced input price: $1.25 per million tokens. Only Gemini 2.5 Pro has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, ERNIE 4.5 0.3B PT or Gemini 2.5 Pro?+

Gemini 2.5 Pro has the larger sourced context window. ERNIE 4.5 0.3B PT supports 131K and Gemini 2.5 Pro supports 1,049K.

Which performs better in benchmarks, ERNIE 4.5 0.3B PT or Gemini 2.5 Pro?+

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 Gemini 2.5 Pro be self-hosted?+

ERNIE 4.5 0.3B PT is the only model in this pair currently marked as self-hostable. ERNIE 4.5 0.3B PT is open weight; Gemini 2.5 Pro is not marked open weight.

Can ERNIE 4.5 0.3B PT and Gemini 2.5 Pro understand images?+

ERNIE 4.5 0.3B PT is not documented with image input; Gemini 2.5 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 4.5 0.3B PT or Gemini 2.5 Pro?+

Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and Gemini 2.5 Pro is 66K.

Do ERNIE 4.5 0.3B PT and Gemini 2.5 Pro support reasoning and tool use?+

ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Gemini 2.5 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 4.5 0.3B PT or Gemini 2.5 Pro?+

ERNIE 4.5 0.3B PT has 0 sourced provider routes; Gemini 2.5 Pro has 2, so Gemini 2.5 Pro has broader tracked availability.

Which offers better value, ERNIE 4.5 0.3B PT or Gemini 2.5 Pro?+

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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