GPT-4o-mini is $0.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
API cost decision in 10 seconds
🔥GPT-4o-mini vs Llama 3.1 70B Instruct
Pick GPT-4o-mini for lower cost; pick Llama 3.1 70B Instruct 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 GPT-4o-mini for lower cost; pick Llama 3.1 70B Instruct only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $0.6 for Llama 3.1 70B Instruct, saving $0.15 (25% lower).
Cost-first pickGPT-4o-mini
Context-first pickLlama 3.1 70B Instruct
Sample savings$0.1525%
10x traffic gap$1.5
Llama 3.1 70B Instruct has more context, but GPT-4o-mini saves $0.15 on the standard workload. At 10x that traffic, the same price gap is about $1.5. 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 GPT-4o-mini, balanced workload favors GPT-4o-mini, and output-heavy chatbot favors Llama 3.1 70B Instruct.
| Workload shape | Token mix | Better pick | GPT-4o-mini | Llama 3.1 70B Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-4o-mini | $1.05 | $2.2 |
| Balanced workload | 1M input + 1M output | GPT-4o-mini | $0.75 | $0.8 |
| Output-heavy chatbot | 1M input + 5M output | Llama 3.1 70B Instruct | $3.15 | $2.4 |
Llama 3.1 70B Instruct is $0.2 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
Llama 3.1 70B Instruct has 3.07K more context (1.02x larger).
GPT-4o-mini is $0.15 cheaper on the standard workload (25% 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
GPT-4o-mini has the lower input price; Llama 3.1 70B Instruct has the lower output price; Llama 3.1 70B Instruct offers the larger context window. For the 1M input plus 500K output sample, GPT-4o-mini is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for GPT-4o-mini and $0.6 for Llama 3.1 70B Instruct.
Choose GPT-4o-mini when you care most about lower input-token price.
Choose Llama 3.1 70B Instruct when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $0.6 for Llama 3.1 70B Instruct, saving $0.15 (25% lower).
- GPT-4o-mini is $0.15 cheaper on the standard workload (25% lower).
- GPT-4o-mini is $0.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
- Llama 3.1 70B Instruct is $0.2 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
- Llama 3.1 70B Instruct has 3.07K more context (1.02x larger).
| Feature | 🔥GPT-4o-mini (OpenAI) | Llama 3.1 70B Instruct (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.4 |
| Completion Price per 1M tokens | $0.6 | $0.4 |
| Sample Workload Cost 1M input + 500K output | $0.45 | $0.6 |
| Context Window | 128K | 131.07K |
| Release Date | ||
| Popularity | #16 | #87 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-4o-mini | On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $0.6 for Llama 3.1 70B Instruct, saving $0.15 (25% lower). |
| High-volume input processing | GPT-4o-mini | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Llama 3.1 70B Instruct | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Llama 3.1 70B Instruct | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-4o-mini when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-4o-mini when lower sample workload cost matters most: $0.13.
- 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.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 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
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