ERNIE 4.5 0.3B PT vs Llama 3.1 8B Instruct
At a Glance
| Compare |  ERNIE 4.5 0.3B PTBaidu | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.050Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.080Openrouter ↗ · Sep 23, 2026 |
| 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 | Llama-3.1-8B-Instruct |
|---|---|---|
| Developer | Baidu | Meta |
| Family | Ernie 4 5 0 3b Pt | Llama 3 1 8b Instruct |
| Model | ERNIE-4.5-0.3B-PT | Llama-3.1-8B-Instruct |
| Version | ERNIE-4.5-0.3B-PT | Llama-3.1-8B-Instruct |
| Lifecycle | active | active |
| Released | Unknown | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 131K |
| Total parameters | 360.7M | 8B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | llama3.1 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation | chat, generation, tools |
ERNIE 4.5 0.3B PT Capabilities
Llama 3.1 8B Instruct Capabilities
Related Comparisons
All text 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 |  DeepSeek-V4.1-FlashDeepSeek | 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 |
Primary Evidence
Sources and Freshness
Questions
ERNIE 4.5 0.3B PT vs Llama 3.1 8B Instruct FAQs
Is ERNIE 4.5 0.3B PT or Llama 3.1 8B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and Llama 3.1 8B Instruct, 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 Llama 3.1 8B Instruct?+
Only Llama 3.1 8B Instruct has a directly sourced input price: $0.050 per million tokens. Only Llama 3.1 8B Instruct has a directly sourced output price: $0.080 per million tokens.
Which has a larger context window, ERNIE 4.5 0.3B PT or Llama 3.1 8B Instruct?+
Neither model has a larger sourced context window in this comparison. ERNIE 4.5 0.3B PT is 131K and Llama 3.1 8B Instruct is 131K.
Which performs better in benchmarks, ERNIE 4.5 0.3B PT or Llama 3.1 8B Instruct?+
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 Llama 3.1 8B Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. ERNIE 4.5 0.3B PT is open weight; Llama 3.1 8B Instruct is open weight.
Can ERNIE 4.5 0.3B PT and Llama 3.1 8B Instruct understand images?+
ERNIE 4.5 0.3B PT is not documented with image input; Llama 3.1 8B Instruct 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 Llama 3.1 8B Instruct?+
Neither has a larger sourced maximum output. ERNIE 4.5 0.3B PT is — and Llama 3.1 8B Instruct is —.
Do ERNIE 4.5 0.3B PT and Llama 3.1 8B Instruct support reasoning and tool use?+
ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 4.5 0.3B PT or Llama 3.1 8B Instruct?+
ERNIE 4.5 0.3B PT has 0 sourced provider routes; Llama 3.1 8B Instruct has 2, so Llama 3.1 8B Instruct has broader tracked availability.
Which offers better value, ERNIE 4.5 0.3B PT or Llama 3.1 8B Instruct?+
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.