ERNIE X1.1 vs VibeVoice ASR Streaming 7B
At a Glance
| Compare | ERNIE X1.1Baidu | VibeVoice ASR Streaming 7BMicrosoft |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 66K | Not reported |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 2, 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 | VibeVoice-ASR-Streaming-7B |
|---|---|---|
| Developer | Baidu | Microsoft |
| Family | Ernie X1 | Vibevoice ASR Streaming |
| Model | ERNIE X1.1 | VibeVoice-ASR-Streaming-7B |
| Version | ERNIE X1.1 | VibeVoice-ASR-Streaming-7B |
| Lifecycle | active | active |
| Released | 2025-09-26 | 2026-09-03 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Audio |
| Output modalities | Text | Text |
| Context window | 66K | Unknown |
| Total parameters | Unknown | 8.7B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | No |
| Self-hostable | No | Yes |
| Provider access | Baidu Qianfan (Standard) | Unknown |
| Capabilities | agents, chat, reasoning, search, tools | diarization, hotwords, multilingual, streaming, transcription |
| Streaming chunk | Unknown | 22 frames |
| Streaming lookahead | Unknown | 4 frames |
| Supported languages | Unknown | Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish |
| Target sample rate | Unknown | 24000 Hz |
ERNIE X1.1 Capabilities
VibeVoice ASR Streaming 7B Capabilities
Primary Evidence
Sources and Freshness
Questions
ERNIE X1.1 vs VibeVoice ASR Streaming 7B FAQs
Is ERNIE X1.1 or VibeVoice ASR Streaming 7B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and VibeVoice ASR Streaming 7B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE X1.1 or VibeVoice ASR Streaming 7B?+
Only ERNIE X1.1 has a directly sourced input price: $1.00 per million tokens. Only ERNIE X1.1 has a directly sourced output price: $4.00 per million tokens.
Which has a larger context window, ERNIE X1.1 or VibeVoice ASR Streaming 7B?+
Neither model has a larger sourced context window in this comparison. ERNIE X1.1 is 66K and VibeVoice ASR Streaming 7B is —.
Which performs better in benchmarks, ERNIE X1.1 or VibeVoice ASR Streaming 7B?+
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 VibeVoice ASR Streaming 7B be self-hosted?+
VibeVoice ASR Streaming 7B is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; VibeVoice ASR Streaming 7B is open weight.
Can ERNIE X1.1 and VibeVoice ASR Streaming 7B understand images?+
ERNIE X1.1 is not documented with image input; VibeVoice ASR Streaming 7B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE X1.1 or VibeVoice ASR Streaming 7B?+
Neither has a larger sourced maximum output. ERNIE X1.1 is 66K and VibeVoice ASR Streaming 7B is —.
Do ERNIE X1.1 and VibeVoice ASR Streaming 7B support reasoning and tool use?+
ERNIE X1.1: reasoning and tool calling. VibeVoice ASR Streaming 7B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE X1.1 or VibeVoice ASR Streaming 7B?+
ERNIE X1.1 has 1 sourced provider route; VibeVoice ASR Streaming 7B has 0, so ERNIE X1.1 has broader tracked availability.
Which offers better value, ERNIE X1.1 or VibeVoice ASR Streaming 7B?+
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.