ERNIE 4.5 0.3B PT vs Grok 4.5
At a Glance
| Compare | ERNIE 4.5 0.3B PTBaidu | Grok 4.5xAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #25 of 4660.1 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #15 of 44$0.063 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #11 of 3859.2 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $2.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $6.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 131K | 500K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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 | Grok 4.5 |
|---|---|---|
| Developer | Baidu | xAI |
| Family | Ernie 4 5 0 3b Pt | Grok 4 |
| Model | ERNIE-4.5-0.3B-PT | Grok 4.5 |
| Version | ERNIE-4.5-0.3B-PT | Grok 4.5 |
| Lifecycle | active | active |
| Released | Unknown | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 500K |
| 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 | Xai (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, structured_outputs, tools |
ERNIE 4.5 0.3B PT Capabilities
Grok 4.5 Capabilities
Primary Evidence
Sources and Freshness
Questions
ERNIE 4.5 0.3B PT vs Grok 4.5 FAQs
Is ERNIE 4.5 0.3B PT or Grok 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and Grok 4.5, 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 Grok 4.5?+
Only Grok 4.5 has a directly sourced input price: $2.00 per million tokens. Only Grok 4.5 has a directly sourced output price: $6.00 per million tokens.
Which has a larger context window, ERNIE 4.5 0.3B PT or Grok 4.5?+
Grok 4.5 has the larger sourced context window. ERNIE 4.5 0.3B PT supports 131K and Grok 4.5 supports 500K.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or Grok 4.5?+
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 Grok 4.5 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; Grok 4.5 is not marked open weight.
Can ERNIE 4.5 0.3B PT and Grok 4.5 understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; Grok 4.5 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 Grok 4.5?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and Grok 4.5 is —.
Do ERNIE 4.5 0.3B PT and Grok 4.5 support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Grok 4.5: 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 Grok 4.5?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; Grok 4.5 has 1, so Grok 4.5 has broader tracked availability.
Which offers better value, ERNIE 4.5 0.3B PT or Grok 4.5?+
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.