ERNIE 4.5 0.3B PT vs GLM OCR
At a Glance
| Compare | ERNIE 4.5 0.3B PTBaidu | GLM OCRZ.ai |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 131K |
| 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 | GLM-OCR |
|---|---|---|
| Developer | Baidu | Z.ai |
| Family | Ernie 4 5 0 3b Pt | Glm OCR |
| Model | ERNIE-4.5-0.3B-PT | GLM-OCR |
| Version | ERNIE-4.5-0.3B-PT | GLM-OCR |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 131K |
| Total parameters | 360.7M | 1.3B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Together Ai (Standard) |
| Capabilities | chat, generation | chat, generation, tools |
ERNIE 4.5 0.3B PT Capabilities
GLM OCR Capabilities
Primary Evidence
Sources and Freshness
Questions
ERNIE 4.5 0.3B PT vs GLM OCR FAQs
Is ERNIE 4.5 0.3B PT or GLM OCR better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and GLM OCR, 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 GLM OCR?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, ERNIE 4.5 0.3B PT or GLM OCR?+
Both models have the same sourced context window: 131,072 tokens each.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or GLM OCR?+
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 GLM OCR be self-hosted?+
Both models have the same sourced self-hosting status: supported. ERNIE 4.5 0.3B PT is open weight; GLM OCR is open weight.
Can ERNIE 4.5 0.3B PT and GLM OCR understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; GLM OCR 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 GLM OCR?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do ERNIE 4.5 0.3B PT and GLM OCR support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. GLM OCR: 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 GLM OCR?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; GLM OCR has 1, so GLM OCR has broader tracked availability.
Which offers better value, ERNIE 4.5 0.3B PT or GLM OCR?+
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.