GPT-5.3-Codex vs Qwen3.5-235B-A22B
GPT-5.3-Codex (2026) and Qwen3.5-235B-A22B (2026) are agentic coding models from OpenAI and Alibaba. GPT-5.3-Codex ships a not-yet-sourced context window, while Qwen3.5-235B-A22B ships a 512k-token context window. On SWE-bench Pro, GPT-5.3-Codex leads by 21.6 pts. 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 is safer overall; choose GPT-5.3-Codex when coding workflow support matters.
Specs
| Released | 2026-02-05 | 2026-02-24 |
| Context window | — | 512k |
| Parameters | — | 235B |
| Architecture | decoder only | MoE |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| GPT-5.3-Codex | Qwen3.5-235B-A22B | |
|---|---|---|
| Input price | $1.75/1M tokens | - |
| Output price | $14/1M tokens | - |
| Providers | - |
Capabilities
| GPT-5.3-Codex | Qwen3.5-235B-A22B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | GPT-5.3-Codex | Qwen3.5-235B-A22B |
|---|---|---|
| SWE-bench Pro | 56.8 | 35.2 |
Deep dive
On shared benchmark coverage, SWE-bench Pro has GPT-5.3-Codex at 56.8 and Qwen3.5-235B-A22B at 35.2, with GPT-5.3-Codex ahead by 21.6 points. The largest visible gap is 21.6 points on SWE-bench Pro, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on multimodal input: GPT-5.3-Codex, function calling: GPT-5.3-Codex, tool use: GPT-5.3-Codex, structured outputs: GPT-5.3-Codex, and code execution: GPT-5.3-Codex. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: GPT-5.3-Codex has $1.75/1M 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-5.3-Codex when coding workflow support and broader provider choice are central to the workload. Choose Qwen3.5-235B-A22B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Is GPT-5.3-Codex or Qwen3.5-235B-A22B open source?
GPT-5.3-Codex is listed under Proprietary. 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.
Which is better for multimodal input, GPT-5.3-Codex or Qwen3.5-235B-A22B?
GPT-5.3-Codex has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, GPT-5.3-Codex or Qwen3.5-235B-A22B?
GPT-5.3-Codex has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, GPT-5.3-Codex or Qwen3.5-235B-A22B?
GPT-5.3-Codex has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, GPT-5.3-Codex or Qwen3.5-235B-A22B?
GPT-5.3-Codex has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GPT-5.3-Codex and Qwen3.5-235B-A22B?
GPT-5.3-Codex 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.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.