API cost decision in 10 seconds

Ministral 3 3B 2512 vs Qwen3 14B

Pick Ministral 3 3B 2512 for lower cost; pick Qwen3 14B only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ministral 3 3B 2512 for lower cost; pick Qwen3 14B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ministral 3 3B 2512 is estimated at $0.15 vs $0.22 for Qwen3 14B, saving $0.07 (31.8% lower).

Cost-first pickMinistral 3 3B 2512
Context-first pickQwen3 14B
Sample savings$0.0731.8%
10x traffic gap$0.7

Qwen3 14B has more context, but Ministral 3 3B 2512 saves $0.07 on the standard workload. At 10x that traffic, the same price gap is about $0.7. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ministral 3 3B 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMinistral 3 3B 2512Qwen3 14B
Input-heavy / RAG5M input + 500K outputMinistral 3 3B 2512$0.55$0.62
Balanced workload1M input + 1M outputMinistral 3 3B 2512$0.2$0.34
Output-heavy chatbot1M input + 5M outputMinistral 3 3B 2512$0.6$1.3
Cheaper input Tie $0.1 vs $0.1 / 1M

Both models report the same input price at $0.1 per 1M tokens.

Cheaper output Ministral 3 3B 2512 $0.1 vs $0.24 / 1M

Ministral 3 3B 2512 is $0.14 cheaper per 1M output tokens (58.3% lower; 2.4x difference).

Larger context Qwen3 14B 131.07K vs 131.7K

Qwen3 14B has 630 more context (1x larger).

Sample workload Ministral 3 3B 2512 $0.15 vs $0.22

Ministral 3 3B 2512 is $0.07 cheaper on the standard workload (31.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Ministral 3 3B 2512 Calculating… Estimated API cost
Qwen3 14B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

both models tie on input price; Ministral 3 3B 2512 has the lower output price; Qwen3 14B offers the larger context window. For the 1M input plus 500K output sample, Ministral 3 3B 2512 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.15 for Ministral 3 3B 2512 and $0.22 for Qwen3 14B.

Best Fit

Choose Ministral 3 3B 2512 when you care most about lower output-token price.

Choose Qwen3 14B when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ministral 3 3B 2512 is estimated at $0.15 vs $0.22 for Qwen3 14B, saving $0.07 (31.8% lower).
  • Ministral 3 3B 2512 is $0.07 cheaper on the standard workload (31.8% lower).
  • Both models report the same input price at $0.1 per 1M tokens.
  • Ministral 3 3B 2512 is $0.14 cheaper per 1M output tokens (58.3% lower; 2.4x difference).
  • Qwen3 14B has 630 more context (1x larger).
Head-to-Head Specs
FeatureMinistral 3 3B 2512
(Mistral)
Qwen3 14B
(Qwen)
Input Price
prompt tokens per 1M
$0.1$0.1
Completion Price
per 1M tokens
$0.1$0.24
Sample Workload Cost
1M input + 500K output
$0.15$0.22
Context Window131.07K131.7K
Release Date
Popularity#130#138

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMinistral 3 3B 2512On the standard 1M input plus 500K output workload, Ministral 3 3B 2512 is estimated at $0.15 vs $0.22 for Qwen3 14B, saving $0.07 (31.8% lower).
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMinistral 3 3B 2512Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 14BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Mistral catalog

Review all tracked Mistral models before deciding whether this matchup is the right shortlist.

Open Mistral models

Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

Open Qwen models
Ministral 3 3B 2512

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

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. It supports seamless switching between a "thinking" mode for...