Gemini 3.1 Pro vs Qwen3.7-Plus
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Gemini 3.1 Pro | Qwen3.7-Plus |
|---|---|---|
| Provider | Alibaba | |
| Input Price (1M) | $2.00 | $0.40 |
| Output Price (1M) | $12.00 | $1.60 |
| Context Window | 1,000,000 | 1,000,000 |
Verdict
Gemini 3.1 Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens. Qwen3.7-Plus costs $0.40 per 1M input tokens and $1.60 per 1M output tokens. Qwen3.7-Plus is 80% cheaper on input tokens than Gemini 3.1 Pro. For output tokens, Qwen3.7-Plus is the more affordable option at $1.60/1M vs $12.00.
On context window, Gemini 3.1 Pro supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Gemini 3.1 Pro
- ✓ You are already integrated with Google
When to choose Qwen3.7-Plus
- ✓ You need the lowest input token cost ($ 0.40/1M)
- ✓ Your workload is output-heavy — Qwen3.7-Plus generates text cheaper
- ✓ You are already integrated with Alibaba
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is Gemini 3.1 Pro cheaper than Qwen3.7-Plus? ▼
Qwen3.7-Plus is cheaper on input tokens at $0.40/1M vs $2.00/1M for Gemini 3.1 Pro — a 80% saving.
What is the context window of Gemini 3.1 Pro vs Qwen3.7-Plus? ▼
Gemini 3.1 Pro has a 1,000,000-token context window. Qwen3.7-Plus has a 1,000,000-token context window. Gemini 3.1 Pro supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Gemini 3.1 Pro or Qwen3.7-Plus? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Qwen3.7-Plus is the cheaper option. For maximum context length, Gemini 3.1 Pro supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.