Compare
Databricks Meta Llama 3 3 70b vs Llama 3 70B Instruct
Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.
Databricks Meta Llama 3 3 70b is 1% cheaper on input. Llama 3 70B Instruct is 50% cheaper on output. The best choice depends on your input/output ratio.
Pricing matrix
Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.
| Provider | Databricks Meta Llama 3 3 70b in | Databricks Meta Llama 3 3 70b out | Llama 3 70B Instruct in | Llama 3 70B Instruct out |
|---|---|---|---|---|
| Databricks | $0.500 | $1.50 | N/A | N/A |
| Novita | N/A | N/A | $0.510 | $0.740 |
| Openrouter | N/A | N/A | $0.590 | $0.790 |
| Replicate | N/A | N/A | $0.650 | $2.75 |
| Vercel Ai Gateway | N/A | N/A | $0.590 | $0.790 |
Best listed rates (this pair)
Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.
Catalog map · Meta
Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.
Meta · input vs output
Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.
One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).
Specifications
Each column header is the full model name. Tint marks the favorable value where we compute a winner.
- Context window
- 128,000 tokens
- 8,192 tokens
- Max output tokens
- 128,000 tokens
- 8,000 tokens
- Vision
- No
- No
- Function calling
- No
- No
- Streaming
- No
- No
- Release date
- N/A
- Apr 2024
Cost calculator
Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.
When to pick which
Short takeaways: no cards, just the points. Validate with your own workloads.
Long-context tasks
Use Databricks Meta Llama 3 3 70b. Its 128K context window handles large codebases and documents better than 8K.
High-volume text generation
Use Llama 3 70B Instruct. Output tokens are 50% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Databricks Meta Llama 3 3 70b. Its 128K max output limit reduces the need to split requests.
Frequently asked questions
More comparisons
Other popular head-to-head matchups.
- Databricks Meta Llama 3 3 70b vs Llama 3.1 70B
Compare pricing side by side
- Databricks Meta Llama 3 3 70b vs Llama 3.1 8B
Compare pricing side by side
- Databricks Meta Llama 3 3 70b vs GPT-4o
Databricks Meta Llama 3 3 70b 85% cheaper on output
- Databricks Meta Llama 3 3 70b vs GPT-4o mini
GPT-4o mini 60% cheaper on output
- Llama 3 70B Instruct vs Llama 3.1 70B
Compare pricing side by side
- Llama 3 70B Instruct vs Llama 3.1 8B
Compare pricing side by side