Gemini 3 Pro vs Qwen3.5-9B
Complete pricing and performance comparison between Google's Gemini 3 Pro and Alibaba's Qwen3.5-9B.
Quick Verdict
Cheaper
Qwen3.5-9B
40.0x cheaper input, 80.0x cheaper output
Larger Context
Gemini 3 Pro
1.0M vs 262K
Pricing Comparison
| Spec | Gemini 3 Pro | Qwen3.5-9B | Difference |
|---|---|---|---|
| Provider | Alibaba | ||
| Input / 1M tokens | $2 | $0.05 | Qwen3.5-9B is 98% more expensive |
| Output / 1M tokens | $12 | $0.15 | Qwen3.5-9B is 99% more expensive |
| Context Window | 1.0M | 262K | 4x difference |
| Max Output | 66K | 33K |
Performance Benchmarks
| Metric | Gemini 3 Pro | Qwen3.5-9B | Winner |
|---|---|---|---|
| Quality Index | 48 | -- | N/A |
| Output Speed | 119 tok/s | -- | N/A |
| Value (Quality/$) | 24.2 | -- | Higher = better value |
Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.
Cost at Scale
Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).
| Usage | Gemini 3 Pro | Qwen3.5-9B | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0056 | $0.0001 | Qwen3.5-9B saves $0.0055 |
10 requests 10K in / 3K out | $0.056 | $0.0009 | Qwen3.5-9B saves $0.055 |
100 requests 100K in / 30K out | $0.560 | $0.0095 | Qwen3.5-9B saves $0.551 |
1,000 requests 1M in / 300K out | $5.60 | $0.095 | Qwen3.5-9B saves $5.50 |
10,000 requests 10M in / 3M out | $56.00 | $0.950 | Qwen3.5-9B saves $55.05 |
1M requests/mo 1B in / 300M out | $5600.00 | $95.00 | Qwen3.5-9B saves $5505.00 |
Pros & Cons
Gemini 3 Pro Strengths
- +Larger context window (1.0M vs 262K)
- +Higher max output tokens
Qwen3.5-9B Strengths
- +Cheaper input tokens
- +Cheaper output tokens
When to Use Each Model
Choose Gemini 3 Pro for
- →Long documents, large codebases, or multi-turn conversations
- →Generating long-form content or detailed code
Choose Qwen3.5-9B for
- →Budget-conscious projects where cost is the primary factor
Frequently Asked Questions
Which is cheaper, Gemini 3 Pro or Qwen3.5-9B?
For input tokens, Qwen3.5-9B is 40.0x cheaper at $0.05/1M tokens. For output tokens, Qwen3.5-9B is 80.0x cheaper at $0.15/1M tokens. At typical usage (1M input + 300K output), Gemini 3 Pro costs $5.60 vs Qwen3.5-9B at $0.095.
What's the context window difference?
Gemini 3 Pro supports 1.0M context (1,048,576 tokens), while Qwen3.5-9B supports 262K (262,144 tokens). Gemini 3 Pro can handle 4x more context in a single request.
Which model has better benchmarks?
When should I choose Gemini 3 Pro over Qwen3.5-9B?
Choose Gemini 3 Pro when you need: Larger context window (1.0M vs 262K), Higher max output tokens. Choose Qwen3.5-9B when you need: Cheaper input tokens, Cheaper output tokens.
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): Gemini 3 Pro = $56.00, Qwen3.5-9B = $0.950. At 10K input + 1K output per request (longer conversations): Gemini 3 Pro = $320.00, Qwen3.5-9B = $6.50.
Related Comparisons
Gemini 3 Pro vs GPT-5.4
$2 vs $2.5 per 1M input
GPT-5.4 vs Qwen3.5-9B
$2.5 vs $0.05 per 1M input
Gemini 3 Pro vs GPT-5.4 Mini
$2 vs $0.75 per 1M input
GPT-5.4 Mini vs Qwen3.5-9B
$0.75 vs $0.05 per 1M input
Gemini 3 Pro vs GPT-5.4 Nano
$2 vs $0.2 per 1M input
GPT-5.4 Nano vs Qwen3.5-9B
$0.2 vs $0.05 per 1M input