Llama 3.1 70B Instruct is $0.85 cheaper per 1M input tokens (68% lower; 3.12x difference).
API cost decision in 10 seconds
Llama 3.1 70B Instruct vs GPT-5 Chat
Pick Llama 3.1 70B Instruct when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Llama 3.1 70B Instruct when budget and context both matter.
On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $6.25 for GPT-5 Chat, saving $5.65 (90.4% lower).
Cost-first pickLlama 3.1 70B Instruct
Context-first pickLlama 3.1 70B Instruct
Sample savings$5.6590.4%
10x traffic gap$56.5
Llama 3.1 70B Instruct is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $56.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Llama 3.1 70B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Llama 3.1 70B Instruct | GPT-5 Chat |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Llama 3.1 70B Instruct | $2.2 | $11.25 |
| Balanced workload | 1M input + 1M output | Llama 3.1 70B Instruct | $0.8 | $11.25 |
| Output-heavy chatbot | 1M input + 5M output | Llama 3.1 70B Instruct | $2.4 | $51.25 |
Llama 3.1 70B Instruct is $9.6 cheaper per 1M output tokens (96% lower; 25x difference).
Llama 3.1 70B Instruct has 3.07K more context (1.02x larger).
Llama 3.1 70B Instruct is $5.65 cheaper on the standard workload (90.4% 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
Llama 3.1 70B Instruct 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, Llama 3.1 70B Instruct is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.6 for Llama 3.1 70B Instruct and $6.25 for GPT-5 Chat.
Choose Llama 3.1 70B Instruct when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GPT-5 Chat when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $6.25 for GPT-5 Chat, saving $5.65 (90.4% lower).
- Llama 3.1 70B Instruct is $5.65 cheaper on the standard workload (90.4% lower).
- Llama 3.1 70B Instruct is $0.85 cheaper per 1M input tokens (68% lower; 3.12x difference).
- Llama 3.1 70B Instruct is $9.6 cheaper per 1M output tokens (96% lower; 25x difference).
- Llama 3.1 70B Instruct has 3.07K more context (1.02x larger).
| Feature | Llama 3.1 70B Instruct (Meta) | GPT-5 Chat (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $1.25 |
| Completion Price per 1M tokens | $0.4 | $10 |
| Sample Workload Cost 1M input + 500K output | $0.6 | $6.25 |
| Context Window | 131.07K | 128K |
| Release Date | ||
| Popularity | #87 | #111 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Llama 3.1 70B Instruct | On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $6.25 for GPT-5 Chat, saving $5.65 (90.4% lower). |
| High-volume input processing | Llama 3.1 70B Instruct | 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
- Llama 3.3 70B Instruct (free) can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.
- Llama 3.1 8B Instruct can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.04.
- Llama 3 8B Instruct can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.06.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
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Open OpenAI modelsMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.