Mistral Large 3 2512 is $0.28 cheaper per 1M input tokens (35.9% lower; 1.56x difference).
API cost decision in 10 seconds
Qwen3 Max Thinking vs Mistral Large 3 2512
Pick Mistral Large 3 2512 when budget is the priority.
Pricing data updated:
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 $2.73 for Qwen3 Max Thinking, saving $1.48 (54.2% lower).
Cost-first pickMistral Large 3 2512
Context-first pickBoth models
Sample savings$1.4854.2%
10x traffic gap$14.8
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $14.8. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Mistral Large 3 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 Max Thinking | Mistral Large 3 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Mistral Large 3 2512 | $5.85 | $3.25 |
| Balanced workload | 1M input + 1M output | Mistral Large 3 2512 | $4.68 | $2 |
| Output-heavy chatbot | 1M input + 5M output | Mistral Large 3 2512 | $20.28 | $8 |
Mistral Large 3 2512 is $2.4 cheaper per 1M output tokens (61.5% lower; 2.6x difference).
Both models report the same context window at 262.14K tokens.
Mistral Large 3 2512 is $1.48 cheaper on the standard workload (54.2% 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
Mistral Large 3 2512 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 $2.73 for Qwen3 Max Thinking and $1.25 for Mistral Large 3 2512.
Choose Qwen3 Max Thinking when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Mistral Large 3 2512 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $2.73 for Qwen3 Max Thinking, saving $1.48 (54.2% lower).
- Mistral Large 3 2512 is $1.48 cheaper on the standard workload (54.2% lower).
- Mistral Large 3 2512 is $0.28 cheaper per 1M input tokens (35.9% lower; 1.56x difference).
- Mistral Large 3 2512 is $2.4 cheaper per 1M output tokens (61.5% lower; 2.6x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | Qwen3 Max Thinking (Qwen) | Mistral Large 3 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.78 | $0.5 |
| Completion Price per 1M tokens | $3.9 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $2.73 | $1.25 |
| Context Window | 262.14K | 262.14K |
| Release Date |
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 $2.73 for Qwen3 Max Thinking, saving $1.48 (54.2% lower). |
| High-volume input processing | Mistral Large 3 2512 | 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
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- No popular competitor is currently available.
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-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...
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.