GPT-5.3-Codex (OpenAI) and Qwen3.6 35B A3B (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 3 September 2026
As of 3 September 2026, GPT-5.3-Codex holds the stronger ModelCap Index position (#24 vs #66); Qwen3.6 35B A3B is 15.6× cheaper per output token ($0.90/1M vs $14.00/1M); GPT-5.3-Codex offers the longer context window (400K vs 262K tokens); and Qwen3.6 35B A3B ships open weights.
Evidence: 1 public benchmark observation across 1 board · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: GPT-5.3-Codex vs Qwen3.6 35B A3B
Public benchmark boards where GPT-5.3-Codex or Qwen3.6 35B A3B has a published result
GPT-5.3-Codex vs Qwen3.6 35B A3B: common questions
Is GPT-5.3-Codex better than Qwen3.6 35B A3B?
GPT-5.3-Codex ranks higher on the ModelCap Index as of 3 September 2026: #24 against #66. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.
Is GPT-5.3-Codex cheaper than Qwen3.6 35B A3B?
Qwen3.6 35B A3B is cheaper on output tokens: $0.90/1M against $14.00/1M. Input tokens are $1.75/1M for GPT-5.3-Codex and $0.10/1M for Qwen3.6 35B A3B. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.
Which has the bigger context window, GPT-5.3-Codex or Qwen3.6 35B A3B?
GPT-5.3-Codex has the larger context window: 400K tokens against 262K.
Which is better for coding, GPT-5.3-Codex or Qwen3.6 35B A3B?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are GPT-5.3-Codex and Qwen3.6 35B A3B open-weight models?
GPT-5.3-Codex: API only. Qwen3.6 35B A3B: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run GPT-5.3-Codex and Qwen3.6 35B A3B?
ModelCap currently lists 2 API providers for GPT-5.3-Codex and 10 for Qwen3.6 35B A3B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this GPT-5.3-Codex vs Qwen3.6 35B A3B comparison?
Every figure comes from the sealed ModelCap dataset published 3 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.