ERNIE 4.5 0.3B PT vs Seed 2.1 Pro
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | ERNIE-4.5-0.3B-PT | Seed 2.1 Pro |
|---|---|---|
| Developer | Baidu | ByteDance Seed |
| Family | Ernie 4 5 0 3b Pt | Seed 2 1 |
| Model | ERNIE-4.5-0.3B-PT | Seed 2.1 Pro |
| Version | ERNIE-4.5-0.3B-PT | Seed 2.1 Pro |
| Lifecycle | active | active |
| Released | Unknown | 2026-06-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 131K | Unknown |
| 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 | Unknown |
| Capabilities | chat, generation | agents, chat, computer-use, generation, reasoning, structured_outputs, tools |
10 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
ERNIE 4.5 0.3B PT Capabilities
Seed 2.1 Pro Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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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 |  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 Seed 2.1 Pro FAQs
Is ERNIE 4.5 0.3B PT or Seed 2.1 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and Seed 2.1 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 Seed 2.1 Pro?+
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 Seed 2.1 Pro?+
Neither model has a larger sourced context window in this comparison. ERNIE 4.5 0.3B PT is 131K and Seed 2.1 Pro is —.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or Seed 2.1 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 Seed 2.1 Pro 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; Seed 2.1 Pro is not marked open weight.
Can ERNIE 4.5 0.3B PT and Seed 2.1 Pro understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; Seed 2.1 Pro 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 Seed 2.1 Pro?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and Seed 2.1 Pro is —.
Do ERNIE 4.5 0.3B PT and Seed 2.1 Pro support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Seed 2.1 Pro: 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 Seed 2.1 Pro?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; Seed 2.1 Pro has 0, a tie.
Which offers better value, ERNIE 4.5 0.3B PT or Seed 2.1 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.