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Deepseek Ocr vs Snowflake Llama 3 3 70b
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Deepseek Ocr has about 1× the context window of the other in this pair.
Deepseek Ocr has 2% more context capacity (8K vs 8K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Deepseek Ocr. Its 8K context fits entire documents without chunking (vs 8K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Deepseek Ocr | Snowflake Llama 3 3 70b |
|---|---|---|
| Context window | 8,192 tokens (8K) | 8,000 tokens (8K) |
| Max output tokens | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Speed tier | Balanced | Deep |
| Vision | Yes | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | N/A | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Deepseek Ocr in | Deepseek Ocr out | Snowflake Llama 3 3 70b in | Snowflake Llama 3 3 70b out |
|---|---|---|---|---|
| Novita | $0.030/M | $0.030/M | — | — |
| Snowflake | — | — | — | — |
Frequently asked questions
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Example: a multi-turn chat session
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