Command A Translate vs phi-4
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Command A Translate | phi-4 |
|---|---|---|
| Developer | Cohere | Microsoft |
| Family | Command A | Phi 4 |
| Model | Command A Translate | phi-4 |
| Version | Command A Translate | phi-4 |
| Lifecycle | active | active |
| Released | 2025-08-28 | 2024-12-12 |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 8,000 | 16,384 |
| Total parameters | 111,000,000,000 | 14,659,507,200 |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Cohere (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, structured_outputs, translation | chat, generation |
15 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Command A Translate Capabilities
phi-4 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Command A ReasoningCohere | vs | Command A TranslateCohere | family variantstext |
Phi-4-reasoningMicrosoft | vs | phi-4Microsoft | family variantstext |
Phi-4-multimodal-instructMicrosoft | vs | phi-4Microsoft | family variantstext |
Phi-4-mini-instructMicrosoft | vs | phi-4Microsoft | family variantstext |
Phi-4-mini-reasoningMicrosoft | vs | phi-4Microsoft | family variantstext |
Command ACohere | vs | Command A TranslateCohere | family variantstext |
| vs | Command A TranslateCohere | family variantstext | |
Command A TranslateCohere | vs | Command A VisionCohere | family variantstext |
Command A TranslateCohere | vs |  Muse Glimmer 30BMeta | cross-developer peerstext |
Command A TranslateCohere | vs | cross-developer peerstext | |
 MolmoWeb 8BAi2 | vs | phi-4Microsoft | cross-developer peerstext |
phi-4Microsoft | vs |  Ministral-8B-Instruct-2410Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Command A Translate vs phi-4 FAQs
Is Command A Translate or phi-4 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A Translate and phi-4, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Command A Translate or phi-4?+
Only phi-4 has a directly sourced input price: $0.070 per million tokens. Only phi-4 has a directly sourced output price: $0.14 per million tokens.
Which has a larger context window, Command A Translate or phi-4?+
phi-4 has the larger sourced context window. Command A Translate supports 8,000 and phi-4 supports 16,384.
Which performs better in benchmarks, Command A Translate or phi-4?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Command A Translate or phi-4 be self-hosted?+
phi-4 is the only model in this pair currently marked as self-hostable. Command A Translate is not marked open weight; phi-4 is open weight.
Can Command A Translate and phi-4 understand images?+
Command A Translate is not documented with image input; phi-4 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Command A Translate or phi-4?+
Neither has a larger sourced maximum output. Command A Translate is 8,000 and phi-4 is —.
Do Command A Translate and phi-4 support reasoning and tool use?+
Command A Translate: none of these features are definitively sourced. phi-4: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Command A Translate or phi-4?+
Command A Translate has 1 sourced provider route; phi-4 has 3, so phi-4 has broader tracked availability.
Which offers better value, Command A Translate or phi-4?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.