ERNIE 4.5 0.3B PT vs Granite Embedding 278m Multilingual
At a Glance
| Compare |  ERNIE 4.5 0.3B PTBaidu | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.106IBM watsonx.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 131K | 1K |
| Model facts checked | Aug 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
Side-by-Side Facts
| Field | ERNIE-4.5-0.3B-PT | granite-embedding-278m-multilingual |
|---|---|---|
| Developer | Baidu | IBM |
| Family | Ernie 4 5 0 3b Pt | Granite Embedding 278m Multilingual |
| Model | ERNIE-4.5-0.3B-PT | granite-embedding-278m-multilingual |
| Version | ERNIE-4.5-0.3B-PT | granite-embedding-278m-multilingual |
| Lifecycle | active | active |
| Released | Unknown | 2024-12-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Embedding |
| Context window | 131K | 1K |
| Total parameters | 360.7M | 278M |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Hugging Face (Standard), IBM watsonx.ai (Pay as you go) |
| Capabilities | chat, generation | embeddings |
ERNIE 4.5 0.3B PT Capabilities
Granite Embedding 278m Multilingual Capabilities
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
ERNIE-4.5-0.3B-PTBaidu | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | ERNIE-4.5-0.3B-PTBaidu | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs | Grok 4.6xAI | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | ERNIE-4.5-0.3B-PTBaidu | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  GLM-5.3Z.ai | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Hy4 previewTencent | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
ERNIE 4.5 0.3B PT vs Granite Embedding 278m Multilingual FAQs
Is ERNIE 4.5 0.3B PT or Granite Embedding 278m Multilingual better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and Granite Embedding 278m Multilingual, 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 Granite Embedding 278m Multilingual?+
Only Granite Embedding 278m Multilingual has a directly sourced input price: $0.106 per million tokens. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, ERNIE 4.5 0.3B PT or Granite Embedding 278m Multilingual?+
ERNIE 4.5 0.3B PT has the larger sourced context window. ERNIE 4.5 0.3B PT supports 131K and Granite Embedding 278m Multilingual supports 1K.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or Granite Embedding 278m Multilingual?+
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 Granite Embedding 278m Multilingual be self-hosted?+
Both models have the same recorded self-hosting status: supported. ERNIE 4.5 0.3B PT is open weight; Granite Embedding 278m Multilingual is open weight.
Can ERNIE 4.5 0.3B PT and Granite Embedding 278m Multilingual understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; Granite Embedding 278m Multilingual 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 Granite Embedding 278m Multilingual?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and Granite Embedding 278m Multilingual is —.
Do ERNIE 4.5 0.3B PT and Granite Embedding 278m Multilingual support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Granite Embedding 278m Multilingual: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 4.5 0.3B PT or Granite Embedding 278m Multilingual?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; Granite Embedding 278m Multilingual has 2, so Granite Embedding 278m Multilingual has broader tracked availability.
Which offers better value, ERNIE 4.5 0.3B PT or Granite Embedding 278m Multilingual?+
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.