AI model comparison
Qwen3.5-9B vs Gemini 2.5 Flash Lite
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture.
Qwen3.5-9B is scheduled to be retired on October 21, 2026. Consider Qwen3.8 27B instead.
- Input / 1M
- $0.10
- Output / 1M
- $0.15
- Context
- 262K
Gemini 2.5 Flash Lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.
Gemini 2.5 Flash Lite is scheduled to be retired on October 20, 2026. Consider Gemini 3.1 Flash Lite instead.
- Input / 1M
- $0.10
- Output / 1M
- $0.40
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.5-9B
1.5x cheaper for a typical chat
Higher intelligence score
Qwen3.5-9B
13.3 vs 10.4 on Artificial Analysis
Larger context window
Gemini 2.5 Flash Lite
1.05M vs 262K tokens
Newer release
Qwen3.5-9B
Released March 10, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.5-9B13.3Gemini 2.5 Flash Lite10.4Coding index
Qwen3.5-9B23.5Gemini 2.5 Flash LiteNot availableAgentic index
Qwen3.5-9BNot availableGemini 2.5 Flash LiteNot availablePricing
Qwen3.5-9B vs Gemini 2.5 Flash Lite API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5-9B | Gemini 2.5 Flash Lite |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.10 |
| Output tokensPer 1M tokens | $0.15 | $0.40 |
| Cached input (read)Per 1M tokens | Not available | $0.01 |
| Cache writePer 1M tokens | Not available | $0.08 |
| Web searchPer request | Not available | $0.014 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.5-9B$0.27Gemini 2.5 Flash Lite$0.40Coding task
30K in, 4K out
Qwen3.5-9B$3.60Gemini 2.5 Flash Lite$4.60$1.90 cachedLong document summary
150K in, 2K out
Qwen3.5-9B$15.30Gemini 2.5 Flash Lite$15.80$2.30 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.5-9B | Gemini 2.5 Flash Lite |
|---|---|---|
| Context window | 262K tokens | 1.05M tokens |
| Max output | 33K tokens | 66K tokens |
| Input types | Image, Text, Video | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | March 10, 2026 | July 22, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5-9B | Gemini 2.5 Flash Lite |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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Our take
Qwen3.5-9B is 1.5x cheaper for a typical chat. Qwen3.5-9B scores higher on the Artificial Analysis Intelligence Index (13.3 vs 10.4). Gemini 2.5 Flash Lite has the larger context window (1.05M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.5-9B or Gemini 2.5 Flash Lite cheaper?
Qwen3.5-9B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.5-9B costs $0.10 per 1M input tokens and $0.15 per 1M output tokens, while Gemini 2.5 Flash Lite costs $0.10 per 1M input tokens and $0.40 per 1M output tokens.
Which has a bigger context window, Qwen3.5-9B or Gemini 2.5 Flash Lite?
Gemini 2.5 Flash Lite supports up to 1.05M tokens of context, compared with 262K for Qwen3.5-9B.
Is Qwen3.5-9B smarter than Gemini 2.5 Flash Lite?
On the Artificial Analysis Intelligence Index, Qwen3.5-9B scores 13.3 and Gemini 2.5 Flash Lite scores 10.4, putting Qwen3.5-9B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.5-9B and Gemini 2.5 Flash Lite at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.5-9B and Gemini 2.5 Flash Lite answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.5-9B and Gemini 2.5 Flash Lite at the same time. Compare the answers side by side and keep the best one.