ERNIE 4.5 0.3B PT vs GPT-6 Astra
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | ERNIE-4.5-0.3B-PT | GPT-6 Astra |
|---|---|---|
| Developer | Baidu | OpenAI |
| Family | Ernie 4 5 0 3b Pt | Gpt 6 |
| Model | ERNIE-4.5-0.3B-PT | GPT-6 Astra |
| Version | ERNIE-4.5-0.3B-PT | GPT-6 Astra |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-03 |
| Knowledge cutoff | Unknown | 2026-04-30 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 1,050K |
| 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 | Openai (Standard) |
| Capabilities | chat, generation | chat, computer-use, generation, reasoning, research, tools |
11 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
ERNIE 4.5 0.3B PT Capabilities
GPT-6 Astra Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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ERNIE-4.5-0.3B-PTBaidu | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
ERNIE-4.5-0.3B-PTBaidu | vs | DeepSeek-V4-ProDeepSeek | 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 |
ERNIE-4.5-0.3B-PTBaidu | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
ERNIE 4.5 0.3B PT vs GPT-6 Astra FAQs
Is ERNIE 4.5 0.3B PT or GPT-6 Astra better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and GPT-6 Astra, 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 GPT-6 Astra?+
Only GPT-6 Astra has a directly sourced input price: $10.00 per million tokens. Only GPT-6 Astra has a directly sourced output price: $50.00 per million tokens.
Which has a larger context window, ERNIE 4.5 0.3B PT or GPT-6 Astra?+
GPT-6 Astra has the larger sourced context window. ERNIE 4.5 0.3B PT supports 131K and GPT-6 Astra supports 1,050K.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or GPT-6 Astra?+
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 GPT-6 Astra 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; GPT-6 Astra is not marked open weight.
Can ERNIE 4.5 0.3B PT and GPT-6 Astra understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; GPT-6 Astra 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 GPT-6 Astra?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and GPT-6 Astra is 128K.
Do ERNIE 4.5 0.3B PT and GPT-6 Astra support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. GPT-6 Astra: 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 GPT-6 Astra?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; GPT-6 Astra has 1, so GPT-6 Astra has broader tracked availability.
Which offers better value, ERNIE 4.5 0.3B PT or GPT-6 Astra?+
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.