Comparison · OpenAI and Qwen
GPT-5.4 vs Qwen3.8 Max (0902)
Listed API prices of GPT-5.4 and Qwen3.8 Max (0902) turned into the cost of the same three standard tasks and what each provider’s API documentation says about features that break on a switch. Output quality, speed and answer length are not compared.
Calculated impact cost per task and per month
For an L2 task (deep analysis over a 50,000-token document, 3 steps), GPT-5.4 costs $0.443 and Qwen3.8 Max (0902) $0.336 at the prices listed in the United States on , so GPT-5.4 is 31.7 % more than Qwen3.8 Max (0902), counting visible output only, without cache discounts or hidden reasoning.
| Task | GPT-5.4, per task | Qwen3.8 Max (0902), per task | GPT-5.4, per month | Qwen3.8 Max (0902), per month | GPT-5.4 vs Qwen3.8 Max (0902), per task |
|---|---|---|---|---|---|
| L1Micro-task (classification or strict JSON extraction) | $0.0067per L1 task | $0.0042per L1 task | $98.55per month | $61.32per month | +60.7 % |
| L2Deep analysis over a 50,000-token document | $0.443per L2 task | $0.336per L2 task | $6,460.50per month | $4,905.60per month | +31.7 % |
| L3Agentic coding loop, 15 steps | $3.42per L3 task | $2.69per L3 task | $49,986.75per month | $39,201.00per month | +27.5 % |
Calculated Per month: 20 tasks an hour around the clock, 730 hours.
Prices USD per 1M tokens
| Price | GPT-5.4 | Qwen3.8 Max (0902) |
|---|---|---|
| Input, per 1M tokens | $2.50 | $2.00 |
| Output, per 1M tokens | $15.00 | $6.00 |
| Price from | OpenRouter · source page (data) Published | Provider's price list · source page Published |
| Read | · the United States | · the United States |
| Context window | 1,050,000 tokens | 1,000,000 tokens |
What can I use it for? six common tasks, our data checks
Quality on your task: not measured by Measured Lab yet.
| Task | GPT-5.4 | Qwen3.8 Max (0902) |
|---|---|---|
| Answer customer messages | — | Fits on price and context |
| Pull data from invoices and documents with strict JSON and page images | — | Fits on price and context |
| Summarize documents and meetings | — | Fits on price and context |
| Translate content | — | Fits on price and context |
| Chat assistant on your website | — | Fits on price and context |
| Write and review code with tool calls | — | Fits on price and context |
| Tasks it fits | — | 6 of 6 |
Checks of our data for six common tasks: a published price, a context window and answer length for the task and, where the task needs them, strict JSON output, page images and tool calls; prices, cost a month and terms for each model on its model card. GPT-5.4 is not in the model picker. Compare models for your own task in the model picker.
What breaks when you switch Published provider documentation
Moving from OpenAI to Qwen, 3 of the 5 features may not carry over, by each provider’s documentation:
- Strict JSON schemas — OpenAI: yes; Qwen: partly. Code that parses answers without checks starts failing where a provider promises only valid JSON, not your schema.
- Streamed tool arguments — OpenAI: yes; Qwen: not stated. An interface that shows arguments as they are written sees nothing until the whole call is ready.
- Cache covers tool definitions — OpenAI: yes; Qwen: not stated. Where the cache does not cover tool definitions, a long tool list is paid as fresh input on every request.
Moving from Qwen to OpenAI: every feature that Qwen’s documentation lists as supported is also listed as supported by OpenAI.
| Feature of the API | OpenAI | Qwen |
|---|---|---|
| Strict JSON schemas | Yes | Partly |
| Parallel tool calls | Yes | Yes |
| Streamed tool arguments | Yes | Not stated |
| Reasoning with tools | Yes | Yes |
| Cache covers tool definitions | Yes | Not stated |
What each provider’s own API documentation says, read ; “not stated” is not the same as “no”. Quotes and sources: what breaks when you switch AI APIs.