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Gemma 7b It Lora vs Meta Llama 3 8b
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.
Meta Llama 3 8b has about 2.3× the context window of the other in this pair.
Meta Llama 3 8b has 134% more context capacity (8K vs 3K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Meta Llama 3 8b. Its 8K context fits entire documents without chunking (vs 3K).
Long output (reports, code files)
Use Meta Llama 3 8b. Its 8K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Gemma 7b It Lora | Meta Llama 3 8b |
|---|---|---|
| Context window | 3,500 tokens (3K) | 8,192 tokens (8K) |
| Max output tokens | 3,500 tokens (3K) | 8,192 tokens (8K) |
| Speed tier | Fast | Fast |
| Vision | No | 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 | Gemma 7b It Lora in | Gemma 7b It Lora out | Meta Llama 3 8b in | Meta Llama 3 8b out |
|---|---|---|---|---|
| Anyscale | — | — | $0.150/M | $0.150/M |
| Cloudflare | — | — | — | — |
| Deepinfra | — | — | $0.030/M | $0.060/M |
Frequently asked questions
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Example: a multi-turn chat session
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