ERNIE 4.5 0.3B PT vs DeepSeek V4 Pro
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | ERNIE-4.5-0.3B-PT | DeepSeek-V4-Pro |
|---|---|---|
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #9 of 36$0.054 per LiveBench case |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | ERNIE-4.5-0.3B-PT | DeepSeek-V4-Pro |
|---|---|---|
| Developer | Baidu | DeepSeek |
| Family | Ernie 4 5 0 3b Pt | Deepseek V4 Pro |
| Model | ERNIE-4.5-0.3B-PT | DeepSeek-V4-Pro |
| Version | ERNIE-4.5-0.3B-PT | DeepSeek-V4-Pro |
| Lifecycle | active | active |
| Released | Unknown | 2026-04-24 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 1,049K |
| Total parameters | 360.7M | 1.6T |
| Active parameters | Unknown | 49B |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
ERNIE 4.5 0.3B PT Capabilities
DeepSeek V4 Pro Capabilities
Internal Comparison Graph
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 | 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 DeepSeek V4 Pro FAQs
Is ERNIE 4.5 0.3B PT or DeepSeek V4 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and DeepSeek V4 Pro, 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 DeepSeek V4 Pro?+
Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.
Which has a larger context window, ERNIE 4.5 0.3B PT or DeepSeek V4 Pro?+
DeepSeek V4 Pro has the larger sourced context window. ERNIE 4.5 0.3B PT supports 131K and DeepSeek V4 Pro supports 1,049K.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or DeepSeek V4 Pro?+
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 DeepSeek V4 Pro be self-hosted?+
Both models have the same recorded self-hosting status: supported. ERNIE 4.5 0.3B PT is open weight; DeepSeek V4 Pro is open weight.
Can ERNIE 4.5 0.3B PT and DeepSeek V4 Pro understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; DeepSeek V4 Pro 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 DeepSeek V4 Pro?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and DeepSeek V4 Pro is —.
Do ERNIE 4.5 0.3B PT and DeepSeek V4 Pro support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. DeepSeek V4 Pro: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 4.5 0.3B PT or DeepSeek V4 Pro?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; DeepSeek V4 Pro has 6, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, ERNIE 4.5 0.3B PT or DeepSeek V4 Pro?+
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.