Claude Opus 4.5 vs VibeVoice ASR Streaming 7B
At a Glance
| Compare | Claude Opus 4.5Anthropic |  VibeVoice ASR Streaming 7BMicrosoft |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #27 of 4655.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.3 | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #40 of 44$0.380 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #36 of 3838.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 28.8–45.4 | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 200K | Not reported |
| Model facts checked | Sep 3, 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 | Claude Opus 4.5 | VibeVoice-ASR-Streaming-7B |
|---|---|---|
| Developer | Anthropic | Microsoft |
| Family | Claude 4 | Vibevoice ASR Streaming |
| Model | Claude Opus 4.5 | VibeVoice-ASR-Streaming-7B |
| Version | Claude Opus 4.5 | VibeVoice-ASR-Streaming-7B |
| Lifecycle | active | active |
| Released | 2025-11-24 | 2026-09-03 |
| Knowledge cutoff | 2025-05-01 | Unknown |
| Input modalities | Text, Image | Audio |
| Output modalities | Text | Text |
| Context window | 200K | 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 | Anthropic (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, structured_outputs, 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 |
Claude Opus 4.5 Capabilities
VibeVoice ASR Streaming 7B Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Claude Opus 4.5Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Opus 4.5Anthropic | family variantsimage, text |
Claude Opus 4.5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 4.5Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Opus 4.5Anthropic | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 4.5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Opus 4.5Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.5 vs VibeVoice ASR Streaming 7B FAQs
Is Claude Opus 4.5 or VibeVoice ASR Streaming 7B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.5 and VibeVoice ASR Streaming 7B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.5 or VibeVoice ASR Streaming 7B?+
Only Claude Opus 4.5 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.5 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, Claude Opus 4.5 or VibeVoice ASR Streaming 7B?+
Neither model has a larger sourced context window in this comparison. Claude Opus 4.5 is 200K and VibeVoice ASR Streaming 7B is —.
Which performs better in benchmarks, Claude Opus 4.5 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 Claude Opus 4.5 or VibeVoice ASR Streaming 7B be self-hosted?+
VibeVoice ASR Streaming 7B is the only model in this pair currently marked as self-hostable. Claude Opus 4.5 is not marked open weight; VibeVoice ASR Streaming 7B is open weight.
Can Claude Opus 4.5 and VibeVoice ASR Streaming 7B understand images?+
Claude Opus 4.5 is 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, Claude Opus 4.5 or VibeVoice ASR Streaming 7B?+
Neither has a larger sourced maximum output. Claude Opus 4.5 is 64K and VibeVoice ASR Streaming 7B is —.
Do Claude Opus 4.5 and VibeVoice ASR Streaming 7B support reasoning and tool use?+
Claude Opus 4.5: reasoning, tool calling, and image input. 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, Claude Opus 4.5 or VibeVoice ASR Streaming 7B?+
Claude Opus 4.5 has 1 sourced provider route; VibeVoice ASR Streaming 7B has 0, so Claude Opus 4.5 has broader tracked availability.
Which offers better value, Claude Opus 4.5 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.