Model comparison
Command R7B (12-2024) vs Claude 3.5 Haiku
- Input
- $0.0375 / 1M tokens
- Output
- $0.15 / 1M tokens
- Context
- 128K
- Released
- 2024-12-13
- Input
- $0.80
- Output
- $4.00
- Context
- 200K
- Released
- 2024-10-22
Claude 3.5 Haiku scores higher on 2 of the 2 benchmarks both models report; Command R7B (12-2024) is cheaper on input tokens ($0 vs $0.8 per 1M, 21.3×); Claude 3.5 Haiku has the larger context window (200K vs 128K); Command R7B (12-2024) ships open weights while Claude 3.5 Haiku is API-only.
Specs and pricing side by side
| Spec | Command R7B (12-2024) | Claude 3.5 Haiku |
|---|---|---|
| Maker | Cohere | Anthropic |
| Released | 2024-12-13 | 2024-10-22 |
| Context window | 128K | 200K |
| Max output | 4K | 8K |
| Input price | $0.0375 / 1M tokens | $0.80 |
| Output price | $0.15 / 1M tokens | $4.00 |
| Parameters | 7B | Undisclosed |
| License | CC-BY-NC 4.0 (open weights, non-commercial; commercial use via Cohere API) | Proprietary |
| Weights | Open weights | API only |
| Modalities | Text | Text, Vision |
| Knowledge cutoff | not published | Jul 2024 |
Benchmarks both models report
| Benchmark | Command R7B (12-2024) | Claude 3.5 Haiku |
|---|---|---|
| MATH | 26.4% | 69.4% |
| MMLU-Pro | 28.5% | 65% |
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 Command R7B (12-2024) if…
- Cost matters: input tokens cost 21.3× less ($0 vs $0.8 per 1M).
- You want to self-host or fine-tune (open weights, CC-BY-NC 4.0 (open weights, non-commercial; commercial use via Cohere API)).
- Your use case is: high-volume, latency-sensitive RAG over long documents and knowledge bases.
Pick Claude 3.5 Haiku if…
- You care about MATH, MMLU-Pro (it scores higher on 2 shared benchmarks).
- You need the longer context (200K vs 128K).
- You need Vision input, which Command R7B (12-2024) lacks.
- Your use case is: reach for it (historically) when you needed low-latency, low-cost inference for user-facing chat, content moderation, or routing.
FAQ
Which is better, Command R7B (12-2024) or Claude 3.5 Haiku?
Claude 3.5 Haiku scores higher on 2 of the 2 benchmarks both models report; Command R7B (12-2024) is cheaper on input tokens ($0 vs $0.8 per 1M, 21.3×); Claude 3.5 Haiku has the larger context window (200K vs 128K); Command R7B (12-2024) ships open weights while Claude 3.5 Haiku is API-only. 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)?
Command R7B (12-2024): $0.0375 / 1M tokens input, $0.15 / 1M tokens output. Claude 3.5 Haiku: $0.80 input, $4.00 output (list API prices as published by each maker).
What are the context windows of Command R7B (12-2024) and Claude 3.5 Haiku?
Command R7B (12-2024) offers 128K with up to 4K output; Claude 3.5 Haiku offers 200K with up to 8K output.
Is Command R7B (12-2024) newer than Claude 3.5 Haiku?
Command R7B (12-2024) was released 2024-12-13; Claude 3.5 Haiku was released 2024-10-22.