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Openai Gpt 4o vs Qwen Turbo 2025 04 28
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
Qwen Turbo 2025 04 28
Context window
1M
1,000,000 tokens · ~750K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Qwen Turbo 2025 04 28 has about 7.8× the context window of the other in this pair.
Qwen Turbo 2025 04 28 has 681% more context capacity (1000K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Qwen Turbo 2025 04 28. Its 1000K context fits entire documents without chunking (vs 128K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Openai Gpt 4o | Qwen Turbo 2025 04 28 |
|---|---|---|
| Context window | 128,000 tokens (128K) | 1,000,000 tokens (1000K) |
| Max output tokens | N/A | 16,384 tokens (16K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | No | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | No |
| Batch API | Yes | No |
| Release date | N/A | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Openai Gpt 4o in | Openai Gpt 4o out | Qwen Turbo 2025 04 28 in | Qwen Turbo 2025 04 28 out |
|---|---|---|---|---|
| Alibaba Cloud | — | — | $0.050/M | $0.200/M |
| Gradient | — | — | — | — |
Frequently asked questions
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