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Databricks Meta Llama 3 1 8b vs DeepSeek V3
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 1 8b is 46% cheaper on input. DeepSeek V3 is 6% 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 1 8b in | Databricks Meta Llama 3 1 8b out | DeepSeek V3 in | DeepSeek V3 out |
|---|---|---|---|---|
| Azure | N/A | N/A | $1.14 | $4.56 |
| Databricks | $0.150 | $0.450 | N/A | N/A |
| DeepInfra | N/A | N/A | $0.380 | $0.890 |
| Deepseek | N/A | N/A | $0.280 | $0.420 |
| Fireworks AI | N/A | N/A | $0.900 | $0.900 |
| Hyperbolic | N/A | N/A | $0.200 | $0.200 |
| Nebius | N/A | N/A | $0.500 | $1.50 |
| Novita | N/A | N/A | $0.400 | $1.30 |
| Openrouter | N/A | N/A | $0.140 | $0.280 |
| Replicate | N/A | N/A | $1.45 | $1.45 |
| Together AI | N/A | N/A | $1.25 | $1.25 |
| Vercel Ai Gateway | N/A | N/A | $0.900 | $0.900 |
Best listed rates (this pair)
Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.
Catalog map · Meta · Deepseek
Each chart uses real catalog rows that include both list input and list output ($/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).
Deepseek · input vs output
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
- 200,000 tokens
- 131,072 tokens
- Max output tokens
- 128,000 tokens
- 8,192 tokens
- Vision
- No
- No
- Function calling
- No
- Yes
- Streaming
- No
- No
- Release date
- N/A
- Dec 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 1 8b. Its 200K context window handles large codebases and documents better than 131K.
High-volume text generation
Use DeepSeek V3. Output tokens are 6% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Databricks Meta Llama 3 1 8b. 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 1 8b vs Llama 3.1 70B
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- Databricks Meta Llama 3 1 8b vs Llama 3.1 8B
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- Databricks Meta Llama 3 1 8b vs GPT-4o
Databricks Meta Llama 3 1 8b 95% cheaper on output
- Databricks Meta Llama 3 1 8b vs GPT-4o mini
Databricks Meta Llama 3 1 8b 24% cheaper on output
- DeepSeek V3 vs GPT-4o
DeepSeek V3 95% cheaper on output
- DeepSeek V3 vs GPT-4o mini
DeepSeek V3 30% cheaper on output