AI model comparison
Qwen3 30B A3B Instruct 2507 vs GPT-4.1 Nano
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.
- Input / 1M
- $0.10
- Output / 1M
- $0.30
- Context
- 262K
OpenAI
GPT-4.1 Nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series.
- 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 30B A3B Instruct 2507
1.1x cheaper for a typical chat
Higher intelligence score
GPT-4.1 Nano
7.8 vs 7.5 on Artificial Analysis
Larger context window
GPT-4.1 Nano
1.05M vs 262K tokens
Newer release
Qwen3 30B A3B Instruct 2507
Released July 29, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3 30B A3B Instruct 25077.5GPT-4.1 Nano7.8Coding index
Qwen3 30B A3B Instruct 2507Not availableGPT-4.1 Nano11.1Agentic index
Qwen3 30B A3B Instruct 2507Not availableGPT-4.1 NanoNot availablePricing
Qwen3 30B A3B Instruct 2507 vs GPT-4.1 Nano API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3 30B A3B Instruct 2507 | GPT-4.1 Nano |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.10 |
| Output tokensPer 1M tokens | $0.30 | $0.40 |
| Cached input (read)Per 1M tokens | Not available | $0.03 |
| 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 30B A3B Instruct 2507$0.35GPT-4.1 Nano$0.40Coding task
30K in, 4K out
Qwen3 30B A3B Instruct 2507$4.20GPT-4.1 Nano$4.60$2.35 cachedLong document summary
150K in, 2K out
Qwen3 30B A3B Instruct 2507$15.60GPT-4.1 Nano$15.80$4.55 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3 30B A3B Instruct 2507 | GPT-4.1 Nano |
|---|---|---|
| Context window | 262K tokens | 1.05M tokens |
| Max output | 236K tokens | 33K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 29, 2025 | April 14, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3 30B A3B Instruct 2507 | GPT-4.1 Nano |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | 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 30B A3B Instruct 2507View full model details- Qwen3 30B A3B Instruct 2507 vs Gemini 2.5 Flash Lite
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- Qwen3 30B A3B Instruct 2507 vs Reka Flash 3
- Qwen3 30B A3B Instruct 2507 vs Llama 3.2 3B Instruct
GPT-4.1 NanoView full model details- GPT-4.1 Nano vs Gemini 2.5 Flash Lite
- GPT-4.1 Nano vs GPT-6 Luna Pro
- GPT-4.1 Nano vs gpt-oss-120b
- GPT-4.1 Nano vs gpt-oss-20b
- GPT-4.1 Nano vs GPT-4o-mini
- GPT-4.1 Nano vs GPT-5 Nano
- GPT-4.1 Nano vs Gemma 3 27B
- GPT-4.1 Nano vs Llama 3.3 70B Instruct
- GPT-4.1 Nano vs Llama 4 Scout
- GPT-4.1 Nano vs Qwen3 VL 30B A3B Instruct
- GPT-4.1 Nano vs Nemotron 3 Nano 30B A3B
- GPT-4.1 Nano vs Qwen2.5 72B Instruct
- GPT-4.1 Nano vs Solar Pro 3
- GPT-4.1 Nano vs Qwen3 30B A3B
- GPT-4.1 Nano vs Nova Lite 1.0
- GPT-4.1 Nano vs Llama 3.1 70B Instruct
- GPT-4.1 Nano vs Llama 3.2 3B Instruct
- GPT-4.1 Nano vs GPT-3.5 Turbo
Our take
Qwen3 30B A3B Instruct 2507 is 1.1x cheaper for a typical chat. GPT-4.1 Nano scores higher on the Artificial Analysis Intelligence Index (7.8 vs 7.5). GPT-4.1 Nano 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 30B A3B Instruct 2507 or GPT-4.1 Nano cheaper?
Qwen3 30B A3B Instruct 2507 is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 30B A3B Instruct 2507 costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, while GPT-4.1 Nano costs $0.10 per 1M input tokens and $0.40 per 1M output tokens.
Which has a bigger context window, Qwen3 30B A3B Instruct 2507 or GPT-4.1 Nano?
GPT-4.1 Nano supports up to 1.05M tokens of context, compared with 262K for Qwen3 30B A3B Instruct 2507.
Is Qwen3 30B A3B Instruct 2507 smarter than GPT-4.1 Nano?
On the Artificial Analysis Intelligence Index, Qwen3 30B A3B Instruct 2507 scores 7.5 and GPT-4.1 Nano scores 7.8, putting GPT-4.1 Nano ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3 30B A3B Instruct 2507 and GPT-4.1 Nano at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3 30B A3B Instruct 2507 and GPT-4.1 Nano answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3 30B A3B Instruct 2507 and GPT-4.1 Nano at the same time. Compare the answers side by side and keep the best one.