Qwen3 32B is $0.42 cheaper per 1M input tokens (84% lower; 6.25x difference).
API cost decision in 10 seconds
Qwen3 32B vs Mistral Large 3 2512
Pick Qwen3 32B for lower cost; pick Mistral Large 3 2512 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 Qwen3 32B for lower cost; pick Mistral Large 3 2512 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $1.25 for Mistral Large 3 2512, saving $1.03 (82.4% lower).
Cost-first pickQwen3 32B
Context-first pickMistral Large 3 2512
Sample savings$1.0382.4%
10x traffic gap$10.3
Mistral Large 3 2512 has more context, but Qwen3 32B saves $1.03 on the standard workload. At 10x that traffic, the same price gap is about $10.3. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 32B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 32B | Mistral Large 3 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 32B | $0.54 | $3.25 |
| Balanced workload | 1M input + 1M output | Qwen3 32B | $0.36 | $2 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 32B | $1.48 | $8 |
Qwen3 32B is $1.22 cheaper per 1M output tokens (81.3% lower; 5.36x difference).
Mistral Large 3 2512 has 131.07K more context (2x larger).
Qwen3 32B is $1.03 cheaper on the standard workload (82.4% 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 32B has the lower input price; Qwen3 32B has the lower output price; Mistral Large 3 2512 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 32B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for Qwen3 32B and $1.25 for Mistral Large 3 2512.
Choose Qwen3 32B when you care most about lower input-token price, and lower output-token price.
Choose Mistral Large 3 2512 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $1.25 for Mistral Large 3 2512, saving $1.03 (82.4% lower).
- Qwen3 32B is $1.03 cheaper on the standard workload (82.4% lower).
- Qwen3 32B is $0.42 cheaper per 1M input tokens (84% lower; 6.25x difference).
- Qwen3 32B is $1.22 cheaper per 1M output tokens (81.3% lower; 5.36x difference).
- Mistral Large 3 2512 has 131.07K more context (2x larger).
| Feature | Qwen3 32B (Qwen) | Mistral Large 3 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.08 | $0.5 |
| Completion Price per 1M tokens | $0.28 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $1.25 |
| Context Window | 131.07K | 262.14K |
| Release Date | ||
| Popularity | #93 | #114 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 32B | On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $1.25 for Mistral Large 3 2512, saving $1.03 (82.4% lower). |
| High-volume input processing | Qwen3 32B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 32B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Mistral Large 3 2512 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 32B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 32B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 32B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 32B when lower sample workload cost matters most: $0.11.
- 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.
- DeepSeek V4 Pro offers 1.05M context with $0.87 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 hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsMistral catalog
Check other Mistral models with comparable pricing, context, or release timing.
Open Mistral modelsQwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.