AI model comparison
Ministral 3 14B 2512 vs Qwen3 30B A3B Instruct 2507
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Ministral 3 14B 2512
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart.
- Input / 1M
- $0.20
- Output / 1M
- $0.20
- Context
- 262K
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
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
1.4x cheaper for a typical chat
Higher intelligence score
Qwen3 30B A3B Instruct 2507
7.5 vs 6 on Artificial Analysis
Larger context window
Tie
262K vs 262K tokens
Newer release
Ministral 3 14B 2512
Released December 2, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Ministral 3 14B 25126Qwen3 30B A3B Instruct 25077.5Coding index
Ministral 3 14B 251214.4Qwen3 30B A3B Instruct 2507Not availableAgentic index
Ministral 3 14B 25121.1Qwen3 30B A3B Instruct 2507Not availablePricing
Ministral 3 14B 2512 vs Qwen3 30B A3B Instruct 2507 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Ministral 3 14B 2512 | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Input tokensPer 1M tokens | $0.20 | $0.10 |
| Output tokensPer 1M tokens | $0.20 | $0.30 |
| Cached input (read)Per 1M tokens | $0.02 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
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
Ministral 3 14B 2512$0.50Qwen3 30B A3B Instruct 2507$0.35Coding task
30K in, 4K out
Ministral 3 14B 2512$6.80$1.40 cachedQwen3 30B A3B Instruct 2507$4.20Long document summary
150K in, 2K out
Ministral 3 14B 2512$30.40$3.40 cachedQwen3 30B A3B Instruct 2507$15.60Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Ministral 3 14B 2512 | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 210K tokens | 236K tokens |
| Input types | Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | December 2, 2025 | July 29, 2025 |
Features
Supported features
API features available for each model.
| Metric | Ministral 3 14B 2512 | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not 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.
Ministral 3 14B 2512View full model details- Ministral 3 14B 2512 vs Nova Micro 1.0
- Ministral 3 14B 2512 vs Mistral Small 3
- Ministral 3 14B 2512 vs Gemma 3 12B
- Ministral 3 14B 2512 vs Nova Lite 1.0
- Ministral 3 14B 2512 vs Saba
- Ministral 3 14B 2512 vs Ministral 3 8B 2512
- Ministral 3 14B 2512 vs Reka Flash 3
- Ministral 3 14B 2512 vs Phi 4
- Ministral 3 14B 2512 vs Llama 3.2 3B Instruct
- Ministral 3 14B 2512 vs Ministral 3 3B 2512
- Ministral 3 14B 2512 vs Granite 4.0 Micro
- Ministral 3 14B 2512 vs Llama 3.2 1B Instruct
Qwen3 30B A3B Instruct 2507View full model details- Qwen3 30B A3B Instruct 2507 vs Gemini 2.5 Flash Lite
- Qwen3 30B A3B Instruct 2507 vs Qwen3.8 Flash
- Qwen3 30B A3B Instruct 2507 vs Qwen3.7 Flash
- Qwen3 30B A3B Instruct 2507 vs Gemma 3 27B
- Qwen3 30B A3B Instruct 2507 vs GPT-4.1 Nano
- Qwen3 30B A3B Instruct 2507 vs Qwen3 32B
- Qwen3 30B A3B Instruct 2507 vs Llama 4 Scout
- Qwen3 30B A3B Instruct 2507 vs Qwen3 VL 30B A3B Instruct
- Qwen3 30B A3B Instruct 2507 vs Qwen3 VL 8B Instruct
- Qwen3 30B A3B Instruct 2507 vs Qwen3 Coder 30B A3B Instruct
- Qwen3 30B A3B Instruct 2507 vs Qwen3 14B
- Qwen3 30B A3B Instruct 2507 vs Nemotron 3 Nano 30B A3B
- Qwen3 30B A3B Instruct 2507 vs Qwen2.5 72B Instruct
- Qwen3 30B A3B Instruct 2507 vs Nova Lite 1.0
- Qwen3 30B A3B Instruct 2507 vs Qwen3 30B A3B
- Qwen3 30B A3B Instruct 2507 vs Solar Pro 3
- Qwen3 30B A3B Instruct 2507 vs Llama 3.1 70B Instruct
- Qwen3 30B A3B Instruct 2507 vs Qwen2.5 Coder 32B Instruct
- Qwen3 30B A3B Instruct 2507 vs Reka Flash 3
- Qwen3 30B A3B Instruct 2507 vs Llama 3.2 3B Instruct
Our take
Qwen3 30B A3B Instruct 2507 is 1.4x cheaper for a typical chat. Qwen3 30B A3B Instruct 2507 scores higher on the Artificial Analysis Intelligence Index (7.5 vs 6). 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 Ministral 3 14B 2512 or Qwen3 30B A3B Instruct 2507 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 Ministral 3 14B 2512 costs $0.20 per 1M input tokens and $0.20 per 1M output tokens.
Which has a bigger context window, Ministral 3 14B 2512 or Qwen3 30B A3B Instruct 2507?
Ministral 3 14B 2512 supports up to 262K tokens of context, compared with 262K for Qwen3 30B A3B Instruct 2507.
Is Ministral 3 14B 2512 smarter than Qwen3 30B A3B Instruct 2507?
On the Artificial Analysis Intelligence Index, Ministral 3 14B 2512 scores 6 and Qwen3 30B A3B Instruct 2507 scores 7.5, putting Qwen3 30B A3B Instruct 2507 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Ministral 3 14B 2512 and Qwen3 30B A3B Instruct 2507 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Ministral 3 14B 2512 and Qwen3 30B A3B Instruct 2507 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Ministral 3 14B 2512 and Qwen3 30B A3B Instruct 2507 at the same time. Compare the answers side by side and keep the best one.