ERNIE X1.1 vs Llama 3.3 70B Instruct
At a Glance
| Compare |  ERNIE X1.1Baidu | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.10Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.32Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 66K | 131K |
| Model facts checked | Aug 29, 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 X1.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| Developer | Baidu | Meta |
| Family | Ernie X1 | Llama 3 3 70b Instruct |
| Model | ERNIE X1.1 | Llama-3.3-70B-Instruct |
| Version | ERNIE X1.1 | Llama-3.3-70B-Instruct |
| Lifecycle | active | active |
| Released | 2025-09-26 | 2024-12-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 66K | 131K |
| Total parameters | Unknown | 70.6B |
| Active parameters | Unknown | Unknown |
| License | Unknown | llama3.3 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Baidu Qianfan (Standard) | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, reasoning, search, tools | chat, generation, tools |
ERNIE X1.1 Capabilities
Llama 3.3 70B Instruct Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
ERNIE X1.1Baidu | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | ERNIE X1.1Baidu | cross-developer peerstext |
ERNIE X1.1Baidu | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
ERNIE X1.1Baidu | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext |
ERNIE X1.1Baidu | vs | Grok 4.6xAI | cross-developer peerstext |
ERNIE X1.1Baidu | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
ERNIE X1.1Baidu | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | ERNIE X1.1Baidu | cross-developer peerstext |
ERNIE X1.1Baidu | vs |  GLM-5.3Z.ai | cross-developer peerstext |
ERNIE X1.1Baidu | vs |  Hy4 previewTencent | cross-developer peerstext |
ERNIE X1.1Baidu | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
ERNIE X1.1Baidu | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
ERNIE X1.1 vs Llama 3.3 70B Instruct FAQs
Is ERNIE X1.1 or Llama 3.3 70B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and Llama 3.3 70B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE X1.1 or Llama 3.3 70B Instruct?+
ERNIE X1.1 is $1.00 and Llama 3.3 70B Instruct is $0.10 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric. ERNIE X1.1 is $4.00 and Llama 3.3 70B Instruct is $0.32 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric.
Which has a larger context window, ERNIE X1.1 or Llama 3.3 70B Instruct?+
Llama 3.3 70B Instruct has the larger sourced context window. ERNIE X1.1 supports 66K and Llama 3.3 70B Instruct supports 131K.
Which performs better in benchmarks, ERNIE X1.1 or Llama 3.3 70B Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can ERNIE X1.1 or Llama 3.3 70B Instruct be self-hosted?+
Llama 3.3 70B Instruct is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; Llama 3.3 70B Instruct is open weight.
Can ERNIE X1.1 and Llama 3.3 70B Instruct understand images?+
ERNIE X1.1 is not documented with image input; Llama 3.3 70B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE X1.1 or Llama 3.3 70B Instruct?+
Neither has a larger sourced maximum output. ERNIE X1.1 is 66K and Llama 3.3 70B Instruct is —.
Do ERNIE X1.1 and Llama 3.3 70B Instruct support reasoning and tool use?+
ERNIE X1.1: reasoning and tool calling. Llama 3.3 70B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE X1.1 or Llama 3.3 70B Instruct?+
ERNIE X1.1 has 1 sourced provider route; Llama 3.3 70B Instruct has 3, so Llama 3.3 70B Instruct has broader tracked availability.
Which offers better value, ERNIE X1.1 or Llama 3.3 70B 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.