Gemini 2.5 Flash vs Qwen3.5-9B
Complete pricing and performance comparison between Google's Gemini 2.5 Flash and Alibaba's Qwen3.5-9B.
Quick Verdict
Cheaper
Qwen3.5-9B
6.0x cheaper input, 16.7x cheaper output
Larger Context
Gemini 2.5 Flash
1.0M vs 262K
Pricing Comparison
| Spec | Gemini 2.5 Flash | Qwen3.5-9B | Difference |
|---|---|---|---|
| Provider | Alibaba | ||
| Input / 1M tokens | $0.3 | $0.05 | Qwen3.5-9B is 83% more expensive |
| Output / 1M tokens | $2.5 | $0.15 | Qwen3.5-9B is 94% more expensive |
| Context Window | 1.0M | 262K | 4x difference |
| Max Output | 66K | 33K |
Performance Benchmarks
| Metric | Gemini 2.5 Flash | Qwen3.5-9B | Winner |
|---|---|---|---|
| Quality Index | 21 | -- | N/A |
| Output Speed | 231 tok/s | -- | N/A |
| Value (Quality/$) | 68.7 | -- | 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 2.5 Flash | Qwen3.5-9B | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0010 | $0.0001 | Same |
10 requests 10K in / 3K out | $0.010 | $0.0009 | Qwen3.5-9B saves $0.0095 |
100 requests 100K in / 30K out | $0.105 | $0.0095 | Qwen3.5-9B saves $0.096 |
1,000 requests 1M in / 300K out | $1.05 | $0.095 | Qwen3.5-9B saves $0.955 |
10,000 requests 10M in / 3M out | $10.50 | $0.950 | Qwen3.5-9B saves $9.55 |
1M requests/mo 1B in / 300M out | $1050.00 | $95.00 | Qwen3.5-9B saves $955.00 |
Pros & Cons
Gemini 2.5 Flash 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 2.5 Flash 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 2.5 Flash or Qwen3.5-9B?
For input tokens, Qwen3.5-9B is 6.0x cheaper at $0.05/1M tokens. For output tokens, Qwen3.5-9B is 16.7x cheaper at $0.15/1M tokens. At typical usage (1M input + 300K output), Gemini 2.5 Flash costs $1.05 vs Qwen3.5-9B at $0.095.
What's the context window difference?
Gemini 2.5 Flash supports 1.0M context (1,048,576 tokens), while Qwen3.5-9B supports 262K (262,144 tokens). Gemini 2.5 Flash can handle 4x more context in a single request.
Which model has better benchmarks?
When should I choose Gemini 2.5 Flash over Qwen3.5-9B?
Choose Gemini 2.5 Flash 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 2.5 Flash = $10.50, Qwen3.5-9B = $0.950. At 10K input + 1K output per request (longer conversations): Gemini 2.5 Flash = $55.00, Qwen3.5-9B = $6.50.
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