GPT-5.4 Nano (OpenAI) and Qwen3 235B A22B (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 9 September 2026
As of 9 September 2026, GPT-5.4 Nano holds the stronger ModelCap Index position (#72 vs #74); GPT-5.4 Nano is 1.5× cheaper per output token ($1.25/1M vs $1.82/1M); GPT-5.4 Nano offers the longer context window (400K vs 131K tokens); and Qwen3 235B A22B ships open weights.
Evidence: 4 public benchmark observations across 4 boards · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: GPT-5.4 Nano vs Qwen3 235B A22B
Public benchmark boards where GPT-5.4 Nano or Qwen3 235B A22B has a published result
GPT-5.4 Nano ranks higher on the ModelCap Index as of 9 September 2026: #72 against #74. 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. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is GPT-5.4 Nano cheaper than Qwen3 235B A22B?
GPT-5.4 Nano is cheaper on output tokens: $1.25/1M against $1.82/1M. Input tokens are $0.20/1M for GPT-5.4 Nano and $0.455/1M for Qwen3 235B A22B. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.02 for GPT-5.4 Nano versus $1.82 for Qwen3 235B A22B. GPT-5.4 Nano costs 43.7% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, GPT-5.4 Nano or Qwen3 235B A22B?
GPT-5.4 Nano has the larger context window: 400K tokens against 131K.
Which is better for coding, GPT-5.4 Nano or Qwen3 235B A22B?
Are GPT-5.4 Nano and Qwen3 235B A22B open-weight models?
GPT-5.4 Nano: API only. Qwen3 235B A22B: 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-5.4 Nano and Qwen3 235B A22B?
ModelCap currently lists 2 API providers for GPT-5.4 Nano and 1 for Qwen3 235B A22B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this GPT-5.4 Nano vs Qwen3 235B A22B comparison?
Every figure comes from the sealed ModelCap dataset published 9 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.