Alternatives · 15 models compared · checked 17 Aug 2026
Command R7B (12-2024) alternatives: 15 models in or near grid B2
The closest model to Command R7B (12-2024) on the atlas is Llama 3.2 1B Instruct, in the same square, at $0.03 per 1M input tokens against Command R7B (12-2024)’s . 4 of the 15 nearest models are cheaper on input; the cheapest is gpt-oss-20b at $0.02. We rank by position on the atlas, not by capability, because we hold no capability data.
$0.04
observed We measured
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- Our catalogue
- Retrieved
- 17 Aug 2026
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ModelsAtlas. “Command R7B (12-2024) alternatives: 15 models in or near grid B2”. Retrieved 17 Aug 2026. https://modelsatlas.com/models/cohere/command-r7b-12/alternatives
Where the alternatives sit
Each square is a price band (A–H) × a context band (1–6). How the grid works
Same squareGRIDB22 modelsLlama 3.2 1B Instruct and Mistral Small 3
Command R7B (12-2024)Its 15 nearest modelsOther modelsOpen weights
View the map as a table (4 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDB1 | <$0.10 | <32K | Phi 4 |
| GRIDB2 | <$0.10 | 32–128K | Command R7B (12-2024), Llama 3.2 1B Instruct, Mistral Small 3 |
| GRIDB3 | <$0.10 | 128–256K | gpt-oss-20b, Mistral Nemo, gpt-oss-120b, Gemma 3 12B, Gemma 3 4B, Llama 3.1 8B Instruct, Llama 3.2 3B Instruct, gpt-oss-safeguard-20b, Gemma 3 27B, Qwen3 32B, Mistral Small 3.2 24B |
| GRIDC2 | $0.10–0.30 | 32–128K | Qwen2.5 7B Instruct |
Top 15 alternatives
Ranked by steps away on the atlas, then cheaper before pricier, then input price
| # | Model | Grid | Why it fits | Input / 1M | vs Command R7B (12-2024) | Output / 1M | Context | |
|---|---|---|---|---|---|---|---|---|
| — | Command R7B (12-2024)Cohere · the model you’re replacing | GRIDB2 | Baseline | $0.04 | — | $0.15 | 128K | |
| 1 | Llama 3.2 1B InstructMeta | GRIDB2 | Same square, 28% cheaper input | $0.03 | −28% | $0.20 | 60K | Compare → |
| 2 | Mistral Small 3Mistral AI | GRIDB2 | Same square, 33% pricier input | $0.05 | +33% | $0.08 | 33K | Compare → |
| 3 | gpt-oss-20bOpenAI | GRIDB3 | Neighbouring square B3, 52% cheaper input | $0.02 | −52% | $0.09 | 131K | |
| 4 | Mistral NemoMistral AI | GRIDB3 | Neighbouring square B3, 23% cheaper input | $0.03 | −23% | $0.03 | 131K | Compare → |
| 5 | gpt-oss-120bOpenAI | GRIDB3 | Neighbouring square B3, 20% cheaper input | $0.03 | −20% | $0.15 | 131K | Compare → |
| 6 | Gemma 3 12BGoogle | GRIDB3 | Neighbouring square B3, 33% pricier input | $0.05 | +33% | $0.15 | 131K | Compare → |
| 7 | Gemma 3 4BGoogle | GRIDB3 | Neighbouring square B3, 33% pricier input | $0.05 | +33% | $0.10 | 131K | Compare → |
| 8 | Llama 3.1 8B InstructMeta | GRIDB3 | Neighbouring square B3, 33% pricier input | $0.05 | +33% | $0.08 | 131K | |
| 9 | Llama 3.2 3B InstructMeta | GRIDB3 | Neighbouring square B3, 33% pricier input | $0.05 | +33% | $0.33 | 131K | |
| 10 | Phi 4Microsoft | GRIDB1 | Neighbouring square B1, 87% pricier input | $0.07 | +87% | $0.14 | 16K | Compare → |
| 11 | gpt-oss-safeguard-20bOpenAI | GRIDB3 | Neighbouring square B3, 100% pricier input | $0.08 | +100% | $0.30 | 131K | |
| 12 | Gemma 3 27BGoogle | GRIDB3 | Neighbouring square B3, 113% pricier input | $0.08 | +113% | $0.45 | 131K | |
| 13 | Qwen3 32BQwen (Alibaba) | GRIDB3 | Neighbouring square B3, 113% pricier input | $0.08 | +113% | $0.28 | 131K | |
| 14 | Mistral Small 3.2 24BMistral AI | GRIDB3 | Neighbouring square B3, 150% pricier input, 2× the context | $0.09 | +150% | $0.25 | 256K | |
| 15 | Qwen2.5 7B InstructQwen (Alibaba) · open weights | GRIDC2 | Neighbouring square C2, 167% pricier input, open weights | $0.10 | +167% | $0.20 | 33K |
What switching saves
3,000 input + 800 output tokens × 1,000 requests a day
Σ Derived from standard-tier prices; excludes caching and batch discounts. Use your own numbers →
Larger-context alternatives
| Model | Input / 1M | Context | |
|---|---|---|---|
| gpt-oss-20bOpenAI | $0.02 | 131K | |
| Mistral NemoMistral AI | $0.03 | 131K | Compare |
| gpt-oss-120bOpenAI | $0.03 | 131K | Compare |
| Gemma 3 12BGoogle | $0.05 | 131K | Compare |
| Gemma 3 4BGoogle | $0.05 | 131K | Compare |
Free alternatives
| Model | Input / 1M | Context | |
|---|---|---|---|
| Lyria 3 Clip PreviewGoogle | Free | 1.05M | |
| Lyria 3 Pro PreviewGoogle | Free | 1.05M |
Compare Command R7B (12-2024) head to head
Questions
What is the best alternative to Command R7B (12-2024)?
Llama 3.2 1B Instruct ranks first: same square, 28% cheaper input. Input is $0.03 per 1M tokens against $0.04 for Command R7B (12-2024). Ranking is by position on the atlas, not by quality.
What is the cheapest alternative to Command R7B (12-2024)?
gpt-oss-20b at $0.02 per 1M input tokens, 52% less than Command R7B (12-2024), among the 15 closest.
Is there an open-weight alternative to Command R7B (12-2024)?
Yes, 1 of the 15: Qwen2.5 7B Instruct.
Which alternative has a larger context window?
Mistral Small 3.2 24B, gpt-oss-20b, Mistral Nemo, gpt-oss-120b and 7 more hold more than Command R7B (12-2024)'s 128K; the largest is Mistral Small 3.2 24B at 256K.
How are alternatives ranked?
By distance on the atlas grid from Command R7B (12-2024)'s square B2: the same square first, then neighbouring squares. Within the same distance, cheaper models come before pricier ones, then the lowest input price wins. We hold no capability data, so we do not claim a model can do what Command R7B (12-2024) does, only that it costs and holds about the same. No vendor pays for position.
More alternatives
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What is the best alternative to Command R7B (12-2024)?
- What is the cheapest alternative to Command R7B (12-2024)?
- Is there an open-weight alternative to Command R7B (12-2024)?