ERNIE 4.5 0.3B PT vs Gemini 2.5 Flash Lite
At a Glance
| Compare | ERNIE 4.5 0.3B PTBaidu | Gemini 2.5 Flash LiteGoogle DeepMind |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.10Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.40Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 131K | 1,049K |
| Model facts checked | Aug 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
Side-by-Side Facts
| Field | ERNIE-4.5-0.3B-PT | Gemini 2.5 Flash-Lite |
|---|---|---|
| Developer | Baidu | Google DeepMind |
| Family | Ernie 4 5 0 3b Pt | Gemini 2 5 |
| Model | ERNIE-4.5-0.3B-PT | Gemini 2.5 Flash-Lite |
| Version | ERNIE-4.5-0.3B-PT | Gemini 2.5 Flash-Lite |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | 2025-01-01 |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 131K | 1,049K |
| Total parameters | 360.7M | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, tools |
ERNIE 4.5 0.3B PT Capabilities
Gemini 2.5 Flash Lite Capabilities
Primary Evidence
Sources and Freshness
Questions
ERNIE 4.5 0.3B PT vs Gemini 2.5 Flash Lite FAQs
Is ERNIE 4.5 0.3B PT or Gemini 2.5 Flash Lite 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 Flash Lite, 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 Flash Lite?+
Only Gemini 2.5 Flash Lite has a directly sourced input price: $0.10 per million tokens. Only Gemini 2.5 Flash Lite has a directly sourced output price: $0.40 per million tokens.
Which has a larger context window, ERNIE 4.5 0.3B PT or Gemini 2.5 Flash Lite?+
Gemini 2.5 Flash Lite has the larger sourced context window. ERNIE 4.5 0.3B PT supports 131K and Gemini 2.5 Flash Lite supports 1,049K.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or Gemini 2.5 Flash Lite?+
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 Flash Lite 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 Flash Lite is not marked open weight.
Can ERNIE 4.5 0.3B PT and Gemini 2.5 Flash Lite understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; Gemini 2.5 Flash Lite 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 Flash Lite?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and Gemini 2.5 Flash Lite is 66K.
Do ERNIE 4.5 0.3B PT and Gemini 2.5 Flash Lite support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Gemini 2.5 Flash Lite: 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 Flash Lite?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; Gemini 2.5 Flash Lite has 2, so Gemini 2.5 Flash Lite has broader tracked availability.
Which offers better value, ERNIE 4.5 0.3B PT or Gemini 2.5 Flash Lite?+
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.