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Codellama 34b Instruct vs Cohere Command Text
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.
Codellama 34b Instruct and Cohere Command Text have identical context windows (4K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Codellama 34b Instruct | Cohere Command Text |
|---|---|---|
| Context window | 4,096 tokens (4K) | 4,096 tokens (4K) |
| Max output tokens | 4,096 tokens (4K) | 4,096 tokens (4K) |
| Speed tier | Balanced | 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 | Codellama 34b Instruct in | Codellama 34b Instruct out | Cohere Command Text in | Cohere Command Text out |
|---|---|---|---|---|
| Anyscale | $1.00/M | $1.00/M | — | — |
| Aws Bedrock | — | — | — | — |
Frequently asked questions
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Example: a multi-turn chat session
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