AI model comparison
Qwen3.5-122B-A10B vs o4 Mini
Side by side comparison of Qwen3.5-122B-A10B and o4 Mini on pricing, benchmark scores, context window, and more.
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
- $0.40
- Output / 1M
- $3.20
- Context
- 262K
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities.
- Input / 1M
- $1.10
- Output / 1M
- $4.40
- Context
- 200K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.5-122B-A10B
1.8x cheaper for a typical chat
Higher intelligence score
Qwen3.5-122B-A10B
17.7 vs 16.7 on Artificial Analysis
Larger context window
Qwen3.5-122B-A10B
262K vs 200K 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-A10B17.7
o4 Mini16.7Coding index
Qwen3.5-122B-A10B43.3o4 MiniNot availableAgentic index
Qwen3.5-122B-A10BNot availableo4 MiniNot availablePricing
Qwen3.5-122B-A10B vs o4 Mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5-122B-A10B | o4 Mini |
|---|---|---|
| Input tokensPer 1M tokens | $0.40 | $1.10 |
| Output tokensPer 1M tokens | $3.20 | $4.40 |
| Cached input (read)Per 1M tokens | Not available | $0.28 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
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$2.40o4 Mini$4.40Coding task
30K in, 4K out
Qwen3.5-122B-A10B$24.80o4 Mini$50.60$25.85 cachedLong document summary
150K in, 2K out
Qwen3.5-122B-A10B$66.40o4 Mini$173.80$50.05 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 | o4 Mini |
|---|---|---|
| Context window | 262K tokens | 200K tokens |
| Max output | 66K tokens | 100K tokens |
| Input types | Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | February 25, 2026 | April 16, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5-122B-A10B | o4 Mini |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not 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.
Qwen3.5-122B-A10BView full model details- Qwen3.5-122B-A10B vs DeepSeek V4.1 Flash
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- Qwen3.5-122B-A10B vs Gemini 3.1 Flash Lite
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- Qwen3.5-122B-A10B vs GLM 4.6
- Qwen3.5-122B-A10B vs Claude Haiku 4.5
- Qwen3.5-122B-A10B vs Gemini 2.5 Flash
- Qwen3.5-122B-A10B vs Gemini 2.5 Pro
- Qwen3.5-122B-A10B vs Kimi K2 0905
- Qwen3.5-122B-A10B vs Qwen3 235B A22B Thinking 2507
Our take
Qwen3.5-122B-A10B is 1.8x cheaper for a typical chat. Qwen3.5-122B-A10B scores higher on the Artificial Analysis Intelligence Index (17.7 vs 16.7). Qwen3.5-122B-A10B has the larger context window (262K vs 200K 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 o4 Mini cheaper?
Qwen3.5-122B-A10B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.5-122B-A10B costs $0.40 per 1M input tokens and $3.20 per 1M output tokens, while o4 Mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens.
Which has a bigger context window, Qwen3.5-122B-A10B or o4 Mini?
Qwen3.5-122B-A10B supports up to 262K tokens of context, compared with 200K for o4 Mini.
Is Qwen3.5-122B-A10B smarter than o4 Mini?
On the Artificial Analysis Intelligence Index, Qwen3.5-122B-A10B scores 17.7 and o4 Mini scores 16.7, 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 o4 Mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.5-122B-A10B and o4 Mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.5-122B-A10B and o4 Mini at the same time. Compare the answers side by side and keep the best one.