Model comparison
DeepSeek-V3-0324 vs Command R7B (12-2024)
- Input
- $0.27 / 1M tokens (cache miss)
- Output
- $1.10 / 1M tokens
- Context
- 128K
- Released
- 2025-03-24
- Input
- $0.0375 / 1M tokens
- Output
- $0.15 / 1M tokens
- Context
- 128K
- Released
- 2024-12-13
DeepSeek-V3-0324 scores higher on 2 of the 2 benchmarks both models report; Command R7B (12-2024) is cheaper on input tokens ($0 vs $0.3 per 1M, 7.2×).
Specs and pricing side by side
| Spec | DeepSeek-V3-0324 | Command R7B (12-2024) |
|---|---|---|
| Maker | DeepSeek | Cohere |
| Released | 2025-03-24 | 2024-12-13 |
| Context window | 128K | 128Ksame |
| Max output | 8K | 4K |
| Input price | $0.27 / 1M tokens (cache miss) | $0.0375 / 1M tokens |
| Output price | $1.10 / 1M tokens | $0.15 / 1M tokens |
| Parameters | 671B total / 37B active (685B checkpoint) | 7B |
| License | MIT | CC-BY-NC 4.0 (open weights, non-commercial; commercial use via Cohere API) |
| Weights | Open weights | Open weightssame |
| Modalities | Text | Textsame |
| Knowledge cutoff | July 2024 | not published |
Benchmarks both models report
| Benchmark | DeepSeek-V3-0324 | Command R7B (12-2024) |
|---|---|---|
| MMLU-Pro | 81.2% | 28.5% |
| GPQA | 68.4% | 7.7% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick DeepSeek-V3-0324 if…
- You care about MMLU-Pro, GPQA (it scores higher on 2 shared benchmarks).
- Your use case is: self-hosted general-purpose chat and assistant deployments where open weights and MIT licensing matter.
Pick Command R7B (12-2024) if…
- Cost matters: input tokens cost 7.2× less ($0 vs $0.3 per 1M).
- Your use case is: high-volume, latency-sensitive RAG over long documents and knowledge bases.
FAQ
Which is better, DeepSeek-V3-0324 or Command R7B (12-2024)?
DeepSeek-V3-0324 scores higher on 2 of the 2 benchmarks both models report; Command R7B (12-2024) is cheaper on input tokens ($0 vs $0.3 per 1M, 7.2×). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Command R7B (12-2024)?
DeepSeek-V3-0324: $0.27 / 1M tokens (cache miss) input, $1.10 / 1M tokens output. Command R7B (12-2024): $0.0375 / 1M tokens input, $0.15 / 1M tokens output (list API prices as published by each maker).
What are the context windows of DeepSeek-V3-0324 and Command R7B (12-2024)?
DeepSeek-V3-0324 offers 128K with up to 8K output; Command R7B (12-2024) offers 128K with up to 4K output.
Is DeepSeek-V3-0324 newer than Command R7B (12-2024)?
DeepSeek-V3-0324 was released 2025-03-24; Command R7B (12-2024) was released 2024-12-13.
Go deeper
- DeepSeek-V3-0324: full specs, pricing and benchmarks
- Command R7B (12-2024): full specs, pricing and benchmarks
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