Llama 3.3 70B Instruct is $0.2 cheaper per 1M input tokens (66.7% lower; 3x difference).
API cost decision in 10 seconds
New🔥MiniMax M3 vs Llama 3.3 70B Instruct
Pick Llama 3.3 70B Instruct for lower cost; pick MiniMax M3 only if the larger context window matters more.
Budget verdict
Pick Llama 3.3 70B Instruct for lower cost; pick MiniMax M3 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Llama 3.3 70B Instruct is estimated at $0.26 vs $0.9 for MiniMax M3, saving $0.64 (71.1% lower).
MiniMax M3 has more context, but Llama 3.3 70B Instruct saves $0.64 on the standard workload. At 10x that traffic, the same price gap is about $6.4. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Llama 3.3 70B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiniMax M3 | Llama 3.3 70B Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Llama 3.3 70B Instruct | $2.1 | $0.66 |
| Balanced workload | 1M input + 1M output | Llama 3.3 70B Instruct | $1.5 | $0.42 |
| Output-heavy chatbot | 1M input + 5M output | Llama 3.3 70B Instruct | $6.3 | $1.7 |
Llama 3.3 70B Instruct is $0.88 cheaper per 1M output tokens (73.3% lower; 3.75x difference).
MiniMax M3 has 917.5K more context (8x larger).
Llama 3.3 70B Instruct is $0.64 cheaper on the standard workload (71.1% 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
Llama 3.3 70B Instruct has the lower input price; Llama 3.3 70B Instruct has the lower output price; MiniMax M3 offers the larger context window. For the 1M input plus 500K output sample, Llama 3.3 70B Instruct is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.9 for MiniMax M3 and $0.26 for Llama 3.3 70B Instruct.
Choose MiniMax M3 when you care most about larger context window.
Choose Llama 3.3 70B Instruct when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Llama 3.3 70B Instruct is estimated at $0.26 vs $0.9 for MiniMax M3, saving $0.64 (71.1% lower).
- Llama 3.3 70B Instruct is $0.64 cheaper on the standard workload (71.1% lower).
- Llama 3.3 70B Instruct is $0.2 cheaper per 1M input tokens (66.7% lower; 3x difference).
- Llama 3.3 70B Instruct is $0.88 cheaper per 1M output tokens (73.3% lower; 3.75x difference).
- MiniMax M3 has 917.5K more context (8x larger).
| Feature | New🔥MiniMax M3 (MiniMax) | Llama 3.3 70B Instruct (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.3 | $0.1 |
| Completion Price per 1M tokens | $1.2 | $0.32 |
| Sample Workload Cost 1M input + 500K output | $0.9 | $0.26 |
| Context Window | 1.05M | 131.07K |
| Release Date | ||
| Popularity | #4 | #79 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Llama 3.3 70B Instruct | On the standard 1M input plus 500K output workload, Llama 3.3 70B Instruct is estimated at $0.26 vs $0.9 for MiniMax M3, saving $0.64 (71.1% lower). |
| High-volume input processing | Llama 3.3 70B Instruct | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Llama 3.3 70B Instruct | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiniMax M3 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiniMax M2.5 (free) can replace MiniMax M3 when lower sample workload cost matters most: $0.
- MiniMax M2.5 can replace MiniMax M3 when lower sample workload cost matters most: $0.6.
- MiniMax M2.7 can replace MiniMax M3 when lower sample workload cost matters most: $0.75.
- MiniMax-01 can replace MiniMax M3 when lower sample workload cost matters most: $0.75.
- Llama 4 Scout offers 10M context with $0.25 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- MiMo-V2.5 · Xiaomi · #3
- DeepSeek V4 Pro · DeepSeek · #5
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 hubsMiniMax catalog
Review all tracked MiniMax models before deciding whether this matchup is the right shortlist.
Open MiniMax modelsMeta catalog
Check other Meta models with comparable pricing, context, or release timing.
Open Meta modelsMiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...