AI model comparison
Ministral 3 14B 2512 vs Qwen3 14B
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
Qwen
Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
- Input / 1M
- $0.12
- Output / 1M
- $0.24
- Context
- 41K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3 14B
1.4x cheaper for a typical chat
Higher intelligence score
Qwen3 14B
6.7 vs 6 on Artificial Analysis
Larger context window
Ministral 3 14B 2512
262K vs 41K 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 14B6.7Coding index
Ministral 3 14B 251214.4Qwen3 14BNot availableAgentic index
Ministral 3 14B 25121.1Qwen3 14BNot availablePricing
Ministral 3 14B 2512 vs Qwen3 14B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Ministral 3 14B 2512 | Qwen3 14B |
|---|---|---|
| Input tokensPer 1M tokens | $0.20 | $0.12 |
| Output tokensPer 1M tokens | $0.20 | $0.24 |
| 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 14B$0.36Coding task
30K in, 4K out
Ministral 3 14B 2512$6.80$1.40 cachedQwen3 14B$4.56Long document summary
150K in, 2K out
Ministral 3 14B 2512$30.40$3.40 cachedQwen3 14B$18.48Specs
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 14B |
|---|---|---|
| Context window | 262K tokens | 41K tokens |
| Max output | 210K tokens | 16K 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 | April 28, 2025 |
Features
Supported features
API features available for each model.
| Metric | Ministral 3 14B 2512 | Qwen3 14B |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not 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.
Ministral 3 14B 2512View full model details- Ministral 3 14B 2512 vs Llama 4 Scout
- Ministral 3 14B 2512 vs Gemma 3 12B
- Ministral 3 14B 2512 vs Nova Micro 1.0
- Ministral 3 14B 2512 vs Mistral Small 3
- Ministral 3 14B 2512 vs Nova Lite 1.0
- Ministral 3 14B 2512 vs Ministral 3 8B 2512
- Ministral 3 14B 2512 vs Saba
- Ministral 3 14B 2512 vs Reka Flash 3
- Ministral 3 14B 2512 vs Phi 4
- Ministral 3 14B 2512 vs Ministral 3 3B 2512
- Ministral 3 14B 2512 vs Llama 3.2 3B Instruct
- Ministral 3 14B 2512 vs Granite 4.0 Micro
- Ministral 3 14B 2512 vs Llama 3.2 1B Instruct
Qwen3 14BView full model details- Qwen3 14B vs Qwen3.7 Flash
- Qwen3 14B vs GPT-4o-mini
- Qwen3 14B vs Llama 3.3 70B Instruct
- Qwen3 14B vs Qwen3 30B A3B Instruct 2507
- Qwen3 14B vs Qwen3 Coder 30B A3B Instruct
- Qwen3 14B vs Llama 4 Scout
- Qwen3 14B vs Nemotron 3 Nano 30B A3B
- Qwen3 14B vs Qwen3 VL 30B A3B Instruct
- Qwen3 14B vs Qwen2.5 72B Instruct
- Qwen3 14B vs Qwen3 30B A3B
- Qwen3 14B vs Qwen3 32B
- Qwen3 14B vs Mistral Small 3
- Qwen3 14B vs Nova Lite 1.0
- Qwen3 14B vs Reka Flash 3
- Qwen3 14B vs Phi 4
Our take
Qwen3 14B is 1.4x cheaper for a typical chat. Qwen3 14B scores higher on the Artificial Analysis Intelligence Index (6.7 vs 6). Ministral 3 14B 2512 has the larger context window (262K vs 41K 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 Ministral 3 14B 2512 or Qwen3 14B cheaper?
Qwen3 14B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 14B costs $0.12 per 1M input tokens and $0.24 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 14B?
Ministral 3 14B 2512 supports up to 262K tokens of context, compared with 41K for Qwen3 14B.
Is Ministral 3 14B 2512 smarter than Qwen3 14B?
On the Artificial Analysis Intelligence Index, Ministral 3 14B 2512 scores 6 and Qwen3 14B scores 6.7, putting Qwen3 14B 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 14B 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 14B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Ministral 3 14B 2512 and Qwen3 14B at the same time. Compare the answers side by side and keep the best one.