VibeVoice ASR Streaming 1.5B vs Qwen3.8 Max
At a Glance
| Compare |  VibeVoice ASR Streaming 1.5BMicrosoft |  Qwen3.8 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #10 of 4679.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 52.8–86.1 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #23 of 44$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #6 of 3863.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 50.0–66.7 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.65Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $4.951Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | Not reported | 1,000K |
| Model facts checked | Sep 2, 2026View model evidence → | Aug 29, 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 | VibeVoice-ASR-Streaming-1.5B | Qwen3.8-Max |
|---|---|---|
| Developer | Microsoft | Qwen |
| Family | Vibevoice ASR Streaming | Qwen3 8 Max |
| Model | VibeVoice-ASR-Streaming-1.5B | Qwen3.8-Max |
| Version | VibeVoice-ASR-Streaming-1.5B | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-09-03 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Audio | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | Unknown | 1,000K |
| Total parameters | 2.8B | 2.4T |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | No | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | diarization, hotwords, multilingual, streaming, transcription | agents, chat, reasoning, structured_outputs, tools, vision |
| Streaming chunk | 22 frames | Unknown |
| Streaming lookahead | 4 frames | Unknown |
| Supported languages | Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish | Unknown |
| Target sample rate | 24000 Hz | Unknown |
VibeVoice ASR Streaming 1.5B Capabilities
Qwen3.8 Max Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
VibeVoice-ASR-Streaming-1.5BMicrosoft | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | VibeVoice-ASR-Streaming-1.5BMicrosoft | cross-developer peerstext |
 Gemini 3.1 ProGoogle DeepMind | vs | VibeVoice-ASR-Streaming-1.5BMicrosoft | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | VibeVoice-ASR-Streaming-1.5BMicrosoft | cross-developer peerstext |
VibeVoice-ASR-Streaming-1.5BMicrosoft | vs | Grok 4.6xAI | cross-developer peerstext |
VibeVoice-ASR-Streaming-1.5BMicrosoft | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | VibeVoice-ASR-Streaming-1.5BMicrosoft | cross-developer peerstext |
VibeVoice-ASR-Streaming-1.5BMicrosoft | vs |  GLM-5.3Z.ai | cross-developer peerstext |
VibeVoice-ASR-Streaming-1.5BMicrosoft | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | VibeVoice-ASR-Streaming-1.5BMicrosoft | cross-developer peerstext |
VibeVoice-ASR-Streaming-1.5BMicrosoft | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
| vs | VibeVoice-ASR-Streaming-1.5BMicrosoft | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
VibeVoice ASR Streaming 1.5B vs Qwen3.8 Max FAQs
Is VibeVoice ASR Streaming 1.5B or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both VibeVoice ASR Streaming 1.5B and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, VibeVoice ASR Streaming 1.5B or Qwen3.8 Max?+
Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.
Which has a larger context window, VibeVoice ASR Streaming 1.5B or Qwen3.8 Max?+
Neither model has a larger sourced context window in this comparison. VibeVoice ASR Streaming 1.5B is — and Qwen3.8 Max is 1,000K.
Which performs better in benchmarks, VibeVoice ASR Streaming 1.5B or Qwen3.8 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can VibeVoice ASR Streaming 1.5B or Qwen3.8 Max be self-hosted?+
VibeVoice ASR Streaming 1.5B is the only model in this pair currently marked as self-hostable. VibeVoice ASR Streaming 1.5B is open weight; Qwen3.8 Max is not marked open weight.
Can VibeVoice ASR Streaming 1.5B and Qwen3.8 Max understand images?+
VibeVoice ASR Streaming 1.5B is not documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, VibeVoice ASR Streaming 1.5B or Qwen3.8 Max?+
Neither has a larger sourced maximum output. VibeVoice ASR Streaming 1.5B is — and Qwen3.8 Max is 131K.
Do VibeVoice ASR Streaming 1.5B and Qwen3.8 Max support reasoning and tool use?+
VibeVoice ASR Streaming 1.5B: none of these features are definitively sourced. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, VibeVoice ASR Streaming 1.5B or Qwen3.8 Max?+
VibeVoice ASR Streaming 1.5B has 0 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, VibeVoice ASR Streaming 1.5B or Qwen3.8 Max?+
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.