Compare
Command R7B (12-2024) vs GPT-3.5 Turbo
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.
Model
Command R7B (12-2024)
Best $0.037 in · $0.037 out
Context window 128K
Command R7B (12-2024) is cheaper across the board — 70% cheaper on input and 97% cheaper on output.
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 | Command R7B (12-2024) in | Command R7B (12-2024) out | GPT-3.5 Turbo in | GPT-3.5 Turbo out |
|---|---|---|---|---|
| Azure | N/A | N/A | $0.500 | $1.50 |
| Cohere | $0.150 | $0.037 | N/A | N/A |
| Github Copilot | N/A | N/A | N/A | N/A |
| OpenAI | N/A | N/A | $0.500 | $1.50 |
| Openrouter | $0.037 | $0.150 | $1.50 | $2.00 |
| Text Completion Openai | N/A | N/A | $1.50 | $2.00 |
| Vercel Ai Gateway | N/A | N/A | $0.500 | $1.50 |
Best listed rates (this pair)
Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.
Catalog map · Cohere · OpenAI
Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.
Cohere · 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).
OpenAI · 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
- 128,000 tokens
- 16,385 tokens
- Max output tokens
- 4,096 tokens
- 4,096 tokens
- Vision
- No
- No
- Function calling
- Yes
- Yes
- Streaming
- No
- No
- Release date
- Dec 2024
- May 2023
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 Command R7B (12-2024). Its 128K context window handles large codebases and documents better than 16K.
High-volume text generation
Use Command R7B (12-2024). Output tokens are 97% cheaper, which compounds significantly at scale.
Frequently asked questions
More comparisons
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- GPT-3.5 Turbo vs GPT-4o mini
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