Qwen: Qwen3 235B A22B Thinking 2507 vs OpenAI: GPT-4o
Head-to-head API pricing and cost comparison between Qwen’s Qwen: Qwen3 235B A22B Thinking 2507 and OpenAI’s OpenAI: GPT-4o. Prices auto-refresh daily from OpenRouter.
Qwen: Qwen3 235B A22B Thinking 2507 is 95% cheaper for input tokens; Qwen: Qwen3 235B A22B Thinking 2507 also wins on output tokens.
Side-by-side comparison
| Spec | Qwen: Qwen3 235B A22B Thinking 2507 | OpenAI: GPT-4o |
|---|---|---|
| Input price (per 1M) | $0.13 | $2.50 |
| Cached input (per 1M) | — | — |
| Output price (per 1M) | $0.60 | $10.00 |
| Batch input (per 1M) | — | $1.25 |
| Batch output (per 1M) | — | $5.00 |
| Reasoning price (per 1M) | — | — |
| Context window | 262K | 128K |
| Vision support | No | Yes |
| Caching support | No | No |
| Batch API | No | Yes |
| Reasoning capability | Yes | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Qwen: Qwen3 235B A22B Thinking 2507 | OpenAI: GPT-4o | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $5.55 | $97.50 | $91.95 Qwen: Qwen3 235B A22B Thinking 2507 wins |
10K req/day 1500in / 500out tokens | $148.50 | $2,625 | $2,477 Qwen: Qwen3 235B A22B Thinking 2507 wins |
100K req/day 3000in / 800out tokens | $2,610 | $46,500 | $43,890 Qwen: Qwen3 235B A22B Thinking 2507 wins |
1M req/day 8000in / 2000out tokens | $67,200 | $1,200,000 | $1,132,800 Qwen: Qwen3 235B A22B Thinking 2507 wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Qwen: Qwen3 235B A22B Thinking 2507 or OpenAI: GPT-4o?
For input tokens, Qwen: Qwen3 235B A22B Thinking 2507 is roughly 95% cheaper at $0.13/1M vs $2.50/1M. For output tokens, Qwen: Qwen3 235B A22B Thinking 2507 wins at $0.60/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Qwen: Qwen3 235B A22B Thinking 2507 has a context window of 262K tokens. OpenAI: GPT-4o offers 128K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use Qwen: Qwen3 235B A22B Thinking 2507 or OpenAI: GPT-4o?
Choose Qwen: Qwen3 235B A22B Thinking 2507 if you’re already on the Qwen stack, want reasoning capabilities, or prefer its lower input price. Choose OpenAI: GPT-4o for OpenAI’s ecosystem, native vision input, or its differentiated capabilities. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: Apr 21, 2026.