Qwen3 14B is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
API cost decision in 10 seconds
Ministral 3 8B 2512 vs Qwen3 14B
Pick Qwen3 14B for lower cost; pick Ministral 3 8B 2512 only if the larger context window matters more.
Budget verdict
Pick Qwen3 14B for lower cost; pick Ministral 3 8B 2512 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.22 for Ministral 3 8B 2512, saving $0.005 (2.2% lower).
Ministral 3 8B 2512 has more context, but Qwen3 14B saves $0.005 on the standard workload. At 10x that traffic, the same price gap is about $0.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Qwen3 14B, balanced workload favors Ministral 3 8B 2512, and output-heavy chatbot favors Ministral 3 8B 2512.
| Workload shape | Token mix | Better pick | Ministral 3 8B 2512 | Qwen3 14B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 14B | $0.82 | $0.62 |
| Balanced workload | 1M input + 1M output | Ministral 3 8B 2512 | $0.3 | $0.34 |
| Output-heavy chatbot | 1M input + 5M output | Ministral 3 8B 2512 | $0.9 | $1.3 |
Ministral 3 8B 2512 is $0.09 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
Ministral 3 8B 2512 has 130.44K more context (1.99x larger).
Qwen3 14B is $0.005 cheaper on the standard workload (2.2% lower).
Estimate your workload cost
Your Workload Cost
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
Qwen3 14B has the lower input price; Ministral 3 8B 2512 has the lower output price; Ministral 3 8B 2512 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 14B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for Ministral 3 8B 2512 and $0.22 for Qwen3 14B.
Choose Ministral 3 8B 2512 when you care most about lower output-token price, and larger context window.
Choose Qwen3 14B when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.22 for Ministral 3 8B 2512, saving $0.005 (2.2% lower).
- Qwen3 14B is $0.005 cheaper on the standard workload (2.2% lower).
- Qwen3 14B is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
- Ministral 3 8B 2512 is $0.09 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
- Ministral 3 8B 2512 has 130.44K more context (1.99x larger).
| Feature | Ministral 3 8B 2512 (Mistral) | Qwen3 14B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.1 |
| Completion Price per 1M tokens | $0.15 | $0.24 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $0.22 |
| Context Window | 262.14K | 131.7K |
| Release Date | ||
| Popularity | #89 | #138 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 14B | On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.22 for Ministral 3 8B 2512, saving $0.005 (2.2% lower). |
| High-volume input processing | Qwen3 14B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ministral 3 8B 2512 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ministral 3 8B 2512 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Mistral Nemo can replace Ministral 3 8B 2512 when lower sample workload cost matters most: $0.04.
- Mistral Small 3 can replace Ministral 3 8B 2512 when lower sample workload cost matters most: $0.09.
- Ministral 3 3B 2512 can replace Ministral 3 8B 2512 when lower sample workload cost matters most: $0.15.
- Mistral Small 3.2 24B can replace Ministral 3 8B 2512 when lower sample workload cost matters most: $0.17.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsMistral catalog
Review all tracked Mistral models before deciding whether this matchup is the right shortlist.
Open Mistral modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsA balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
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...