Llama 3.1 8B Instruct is $0.68 cheaper per 1M input tokens (97.1% lower; 35x difference).
API cost decision in 10 seconds
Llama 3.1 8B Instruct vs R1
Pick Llama 3.1 8B Instruct for lower cost; pick R1 only if the larger context window matters more.
Budget verdict
Pick Llama 3.1 8B Instruct for lower cost; pick R1 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $1.95 for R1, saving $1.91 (97.7% lower).
R1 has more context, but Llama 3.1 8B Instruct saves $1.91 on the standard workload. At 10x that traffic, the same price gap is about $19.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Llama 3.1 8B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Llama 3.1 8B Instruct | R1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Llama 3.1 8B Instruct | $0.12 | $4.75 |
| Balanced workload | 1M input + 1M output | Llama 3.1 8B Instruct | $0.07 | $3.2 |
| Output-heavy chatbot | 1M input + 5M output | Llama 3.1 8B Instruct | $0.27 | $13.2 |
Llama 3.1 8B Instruct is $2.45 cheaper per 1M output tokens (98% lower; 50x difference).
R1 has 32.77K more context (1.25x larger).
Llama 3.1 8B Instruct is $1.91 cheaper on the standard workload (97.7% 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 8B Instruct has the lower input price; Llama 3.1 8B Instruct has the lower output price; R1 offers the larger context window. For the 1M input plus 500K output sample, Llama 3.1 8B Instruct is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.04 for Llama 3.1 8B Instruct and $1.95 for R1.
Choose Llama 3.1 8B Instruct when you care most about lower input-token price, and lower output-token price.
Choose R1 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $1.95 for R1, saving $1.91 (97.7% lower).
- Llama 3.1 8B Instruct is $1.91 cheaper on the standard workload (97.7% lower).
- Llama 3.1 8B Instruct is $0.68 cheaper per 1M input tokens (97.1% lower; 35x difference).
- Llama 3.1 8B Instruct is $2.45 cheaper per 1M output tokens (98% lower; 50x difference).
- R1 has 32.77K more context (1.25x larger).
| Feature | Llama 3.1 8B Instruct (Meta) | R1 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.02 | $0.7 |
| Completion Price per 1M tokens | $0.05 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $0.04 | $1.95 |
| Context Window | 131.07K | 163.84K |
| Release Date | ||
| Popularity | #40 | #144 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Llama 3.1 8B Instruct | On the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $1.95 for R1, saving $1.91 (97.7% lower). |
| High-volume input processing | Llama 3.1 8B Instruct | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Llama 3.1 8B Instruct | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | R1 | 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 8B Instruct when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Llama 3.1 8B Instruct when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash (free) can replace R1 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace R1 when lower sample workload cost matters most: $0.2.
- 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.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsMeta catalog
Review all tracked Meta models before deciding whether this matchup is the right shortlist.
Open Meta modelsDeepSeek catalog
Check other DeepSeek models with comparable pricing, context, or release timing.
Open DeepSeek modelsMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....