Qwen3.5-122B-A10B is $0.24 cheaper per 1M input tokens (48% lower; 1.92x difference).
API cost decision in 10 seconds
Mistral Large 3 2512 vs Qwen3.5-122B-A10B
Pick Mistral Large 3 2512 when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Mistral Large 3 2512 when budget is the priority.
On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $1.3 for Qwen3.5-122B-A10B, saving $0.05 (3.8% lower).
Cost-first pickMistral Large 3 2512
Context-first pickBoth models
Sample savings$0.053.8%
10x traffic gap$0.5
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.5. 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 Qwen3.5-122B-A10B, balanced workload favors Mistral Large 3 2512, and output-heavy chatbot favors Mistral Large 3 2512.
| Workload shape | Token mix | Better pick | Mistral Large 3 2512 | Qwen3.5-122B-A10B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5-122B-A10B | $3.25 | $2.34 |
| Balanced workload | 1M input + 1M output | Mistral Large 3 2512 | $2 | $2.34 |
| Output-heavy chatbot | 1M input + 5M output | Mistral Large 3 2512 | $8 | $10.66 |
Mistral Large 3 2512 is $0.58 cheaper per 1M output tokens (27.9% lower; 1.39x difference).
Both models report the same context window at 262.14K tokens.
Mistral Large 3 2512 is $0.05 cheaper on the standard workload (3.8% 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
Qwen3.5-122B-A10B has the lower input price; Mistral Large 3 2512 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Mistral Large 3 2512 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.25 for Mistral Large 3 2512 and $1.3 for Qwen3.5-122B-A10B.
Choose Mistral Large 3 2512 when you care most about lower output-token price.
Choose Qwen3.5-122B-A10B when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $1.3 for Qwen3.5-122B-A10B, saving $0.05 (3.8% lower).
- Mistral Large 3 2512 is $0.05 cheaper on the standard workload (3.8% lower).
- Qwen3.5-122B-A10B is $0.24 cheaper per 1M input tokens (48% lower; 1.92x difference).
- Mistral Large 3 2512 is $0.58 cheaper per 1M output tokens (27.9% lower; 1.39x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | Mistral Large 3 2512 (Mistral) | Qwen3.5-122B-A10B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.5 | $0.26 |
| Completion Price per 1M tokens | $1.5 | $2.08 |
| Sample Workload Cost 1M input + 500K output | $1.25 | $1.3 |
| Context Window | 262.14K | 262.14K |
| Release Date | ||
| Popularity | #114 | #142 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Mistral Large 3 2512 | On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $1.3 for Qwen3.5-122B-A10B, saving $0.05 (3.8% lower). |
| High-volume input processing | Qwen3.5-122B-A10B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Mistral Large 3 2512 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Mistral Nemo can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.04.
- Mistral Small 3 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.09.
- Ministral 3 3B 2512 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.15.
- Mistral Small 3.2 24B can replace Mistral Large 3 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.
- 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.
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Open provider hubsMistral catalog
Review all tracked Mistral models before deciding whether this matchup is the right shortlist.
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Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsMistral 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.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...