Google: Gemini 2.5 Pro Preview 05-06 vs Qwen: Qwen3 Coder Next
Head-to-head API pricing and cost comparison between Google’s Google: Gemini 2.5 Pro Preview 05-06 and Qwen’s Qwen: Qwen3 Coder Next. Prices auto-refresh daily from OpenRouter.
Qwen: Qwen3 Coder Next is 91% cheaper for input tokens; Qwen: Qwen3 Coder Next also wins on output tokens.
Side-by-side comparison
| Spec | Google: Gemini 2.5 Pro Preview 05-06 | Qwen: Qwen3 Coder Next |
|---|---|---|
| Input price (per 1M) | $1.25 | $0.11 |
| Cached input (per 1M) | $0.13 | $0.07 |
| Output price (per 1M) | $10.00 | $0.80 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | $10.00 | — |
| Context window | 1049K | 262K |
| Vision support | Yes | No |
| Caching support | Yes | Yes |
| Batch API | No | No |
| Reasoning capability | Yes | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Google: Gemini 2.5 Pro Preview 05-06 | Qwen: Qwen3 Coder Next | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $78.75 | $6.45 | $72.30 Qwen: Qwen3 Coder Next wins |
10K req/day 1500in / 500out tokens | $2,063 | $169.50 | $1,893 Qwen: Qwen3 Coder Next wins |
100K req/day 3000in / 800out tokens | $35,250 | $2,910 | $32,340 Qwen: Qwen3 Coder Next wins |
1M req/day 8000in / 2000out tokens | $900,000 | $74,400 | $825,600 Qwen: Qwen3 Coder Next wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Google: Gemini 2.5 Pro Preview 05-06 or Qwen: Qwen3 Coder Next?
For input tokens, Qwen: Qwen3 Coder Next is roughly 91% cheaper at $0.11/1M vs $1.25/1M. For output tokens, Qwen: Qwen3 Coder Next wins at $0.80/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Google: Gemini 2.5 Pro Preview 05-06 has a context window of 1049K tokens. Qwen: Qwen3 Coder Next offers 262K 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 Google: Gemini 2.5 Pro Preview 05-06 or Qwen: Qwen3 Coder Next?
Choose Google: Gemini 2.5 Pro Preview 05-06 if you’re already on the Google stack, want reasoning capabilities, or prefer its feature set. Choose Qwen: Qwen3 Coder Next for Qwen’s ecosystem, or its cheaper input tokens. 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: May 28, 2026.