All tasks / Comparisons
GPT-Realtime-2.1 vs Qwen3.5-Omni-Plus
Compared only on public benchmark results, across the 1 task where both are listed: GPT-Realtime-2.1 is a tier higher in 1 of 1 shared task.
GPT-Realtime-2.1
OpenAI's speech-to-speech models for the Realtime API, with configurable reasoning effort and tool use for voice agents.
- Vendor
- OpenAI
- Weights
- Closed: API and apps only
- Released
- 6 Jul 2026
- API price
- $32 in / $64 out per 1M tokens (Audio tokens, USD per 1M (text tokens $4 in / $24 out).); $0.19 per minute of audio (Artificial Analysis 'Cost per Hour of Input Audio' for GPT-Realtime-2.1 Minimal, OpenAI ($11.307/hour: cost of its Big Bench Audio run normalised to input-audio length) divided by 60.)
- License
- proprietary
- Last verified
- 18 Oct 2026
Qwen3.5-Omni-Plus
Alibaba's API-only omni-modal model that understands audio and video and speaks back, with offline and realtime APIs.
- Vendor
- Alibaba (Qwen)
- Weights
- Closed: API and apps only
- Released
- 30 Mar 2026
- License
- proprietary
- Last verified
- 19 Oct 2026
Task by task
| Task | GPT-Realtime-2.1 | Qwen3.5-Omni-Plus | Higher tier |
|---|---|---|---|
| Voice agents Models | B941 on Artificial Analysis Speech Agent Arena (models) · Cloud | C861 on Artificial Analysis Speech Agent Arena (models) · Cloud | GPT-Realtime-2.1 |
A tier spans a range of scores, and small gaps on a leaderboard are often within its margin of error, so only a different tier counts as ahead. How we rank.
Same benchmark, both results
| Benchmark | GPT-Realtime-2.1 | Qwen3.5-Omni-Plus | Snapshot |
|---|---|---|---|
| Artificial Analysis Big Bench Audio (speech reasoning) Accuracy on Big Bench Audio: spoken reasoning questions answered in audio (speech in, speech out), higher is better | 95.8% | 98.7% | 19 Oct 2026 |
| Artificial Analysis Speech Agent Arena (models) Elo from blind pairwise votes on live voice-agent conversations (overall slice; GPT-Realtime-1.5 anchored at 1000), higher is better | 941 | 861 | 19 Oct 2026 |