AI model comparison
Qwen3.5-122B-A10B vs Gemini 2.5 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
- Input / 1M
- $0.26
- Output / 1M
- $2.08
- Context
- 262K
Gemini 2.5 Flash
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks.
Gemini 2.5 Flash is scheduled to be retired on October 20, 2026. Consider Gemini 3.8 Flash instead.
- Input / 1M
- $0.30
- Output / 1M
- $2.50
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.5-122B-A10B
1.2x cheaper for a typical chat
Higher intelligence score
Qwen3.5-122B-A10B
17.7 vs 15.5 on Artificial Analysis
Larger context window
Gemini 2.5 Flash
1.05M vs 262K tokens
Newer release
Qwen3.5-122B-A10B
Released February 25, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.5-122B-A10B17.7Gemini 2.5 Flash15.5Coding index
Qwen3.5-122B-A10B43.3Gemini 2.5 FlashNot availableAgentic index
Qwen3.5-122B-A10BNot availableGemini 2.5 FlashNot availablePricing
Qwen3.5-122B-A10B vs Gemini 2.5 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5-122B-A10B | Gemini 2.5 Flash |
|---|---|---|
| Input tokensPer 1M tokens | $0.26 | $0.30 |
| Output tokensPer 1M tokens | $2.08 | $2.50 |
| Cached input (read)Per 1M tokens | Not available | $0.03 |
| 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
Qwen3.5-122B-A10B$1.56Gemini 2.5 Flash$1.85Coding task
30K in, 4K out
Qwen3.5-122B-A10B$16.12Gemini 2.5 Flash$19$10.90 cachedLong document summary
150K in, 2K out
Qwen3.5-122B-A10B$43.16Gemini 2.5 Flash$50$9.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.5-122B-A10B | Gemini 2.5 Flash |
|---|---|---|
| Context window | 262K tokens | 1.05M tokens |
| Max output | 66K 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 | February 25, 2026 | June 17, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5-122B-A10B | Gemini 2.5 Flash |
|---|---|---|
| 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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Gemini 2.5 FlashView full model details- Gemini 2.5 Flash vs Step 5 Preview
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- Gemini 2.5 Flash vs o3 Mini
- Gemini 2.5 Flash vs MiniMax M1
- Gemini 2.5 Flash vs R1
Our take
Qwen3.5-122B-A10B is 1.2x cheaper for a typical chat. Qwen3.5-122B-A10B scores higher on the Artificial Analysis Intelligence Index (17.7 vs 15.5). Gemini 2.5 Flash 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 Qwen3.5-122B-A10B or Gemini 2.5 Flash cheaper?
Qwen3.5-122B-A10B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.5-122B-A10B costs $0.26 per 1M input tokens and $2.08 per 1M output tokens, while Gemini 2.5 Flash costs $0.30 per 1M input tokens and $2.50 per 1M output tokens.
Which has a bigger context window, Qwen3.5-122B-A10B or Gemini 2.5 Flash?
Gemini 2.5 Flash supports up to 1.05M tokens of context, compared with 262K for Qwen3.5-122B-A10B.
Is Qwen3.5-122B-A10B smarter than Gemini 2.5 Flash?
On the Artificial Analysis Intelligence Index, Qwen3.5-122B-A10B scores 17.7 and Gemini 2.5 Flash scores 15.5, putting Qwen3.5-122B-A10B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.5-122B-A10B and Gemini 2.5 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.5-122B-A10B and Gemini 2.5 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.5-122B-A10B and Gemini 2.5 Flash at the same time. Compare the answers side by side and keep the best one.