GPT-4o Audio vs Qwen3.5-235B-A22B
GPT-4o Audio (2024) and Qwen3.5-235B-A22B (2026) are compact production models from OpenAI and Alibaba. GPT-4o Audio ships a 128K-token context window, while Qwen3.5-235B-A22B ships a 512k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Qwen3.5-235B-A22B fits 4x more tokens; pick it for long-context work and GPT-4o Audio for tighter calls.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-10-01 | 2026-02-24 |
| Context window | 128K | 512k |
| Parameters | — | 235B |
| Architecture | decoder only | MoE |
| License | Unknown | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GPT-4o Audio | Qwen3.5-235B-A22B |
|---|---|---|
| Input price | $2.5/1M tokens | - |
| Output price | $10/1M tokens | - |
| Providers | - |
Capabilities
| Capability | GPT-4o Audio | Qwen3.5-235B-A22B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: GPT-4o Audio has $2.5/1M input tokens and Qwen3.5-235B-A22B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-4o Audio when provider fit and broader provider choice are central to the workload. Choose Qwen3.5-235B-A22B when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, GPT-4o Audio or Qwen3.5-235B-A22B?
Qwen3.5-235B-A22B supports 512k tokens, while GPT-4o Audio supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Is GPT-4o Audio or Qwen3.5-235B-A22B open source?
GPT-4o Audio is listed under Unknown. Qwen3.5-235B-A22B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run GPT-4o Audio and Qwen3.5-235B-A22B?
GPT-4o Audio is available on OpenRouter. Qwen3.5-235B-A22B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick GPT-4o Audio over Qwen3.5-235B-A22B?
Qwen3.5-235B-A22B fits 4x more tokens; pick it for long-context work and GPT-4o Audio for tighter calls. If your workload also depends on provider fit, start with GPT-4o Audio; if it depends on long-context analysis, run the same evaluation with Qwen3.5-235B-A22B.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.