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Llama V3 8b Instruct vs Starcoder 16b
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.
Same context window size for both models.
Llama V3 8b Instruct and Starcoder 16b have identical context windows (8K tokens). Starcoder 16b is 0% cheaper on input.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Llama V3 8b Instruct | Starcoder 16b |
|---|---|---|
| Context window | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Max output tokens | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Speed tier | Fast | Balanced |
| 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 | Llama V3 8b Instruct in | Llama V3 8b Instruct out | Starcoder 16b in | Starcoder 16b out |
|---|---|---|---|---|
| Fireworks | $0.200/M | $0.200/M | $0.200/M | $0.200/M |
Frequently asked questions
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Example: a multi-turn chat session
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