Command A Translate vs Granite 4.2 8B
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Command A Translate | Granite 4.2 8B |
|---|---|---|
| Developer | Cohere | IBM |
| Family | Command A | Granite 4 2 |
| Model | Command A Translate | Granite 4.2 8B |
| Version | Command A Translate | Granite 4.2 8B |
| Lifecycle | active | active |
| Released | 2025-08-28 | 2026-08-25 |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 8,000 | 131,072 |
| Total parameters | 111,000,000,000 | 8,791,592,960 |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Cohere (Standard) | Deepinfra (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, structured_outputs, translation | chat, generation, reasoning, structured_outputs, tools |
15 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Command A Translate Capabilities
Granite 4.2 8B Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs | family variantstext | ||
| vs | family variantstext | ||
| vs | family variantstext | ||
Command A ReasoningCohere | vs | Command A TranslateCohere | family variantstext |
Gemma 4 12BGoogle DeepMind | vs | cross-developer peerstext | |
Gemma 4 E2BGoogle DeepMind | vs | cross-developer peerstext | |
| vs | 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 |
| vs | gpt-oss-20bOpenAI | cross-developer peerstext | |
| vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Command A Translate vs Granite 4.2 8B FAQs
Is Command A Translate or Granite 4.2 8B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A Translate and Granite 4.2 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Command A Translate or Granite 4.2 8B?+
Only Granite 4.2 8B has a directly sourced input price: $0.060 per million tokens. Only Granite 4.2 8B has a directly sourced output price: $0.15 per million tokens.
Which has a larger context window, Command A Translate or Granite 4.2 8B?+
Granite 4.2 8B has the larger sourced context window. Command A Translate supports 8,000 and Granite 4.2 8B supports 131,072.
Which performs better in benchmarks, Command A Translate or Granite 4.2 8B?+
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 Granite 4.2 8B be self-hosted?+
Granite 4.2 8B is the only model in this pair currently marked as self-hostable. Command A Translate is not marked open weight; Granite 4.2 8B is open weight.
Can Command A Translate and Granite 4.2 8B understand images?+
Command A Translate is not documented with image input; Granite 4.2 8B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Command A Translate or Granite 4.2 8B?+
Neither has a larger sourced maximum output. Command A Translate is 8,000 and Granite 4.2 8B is —.
Do Command A Translate and Granite 4.2 8B support reasoning and tool use?+
Command A Translate: none of these features are definitively sourced. Granite 4.2 8B: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Command A Translate or Granite 4.2 8B?+
Command A Translate has 1 sourced provider route; Granite 4.2 8B has 2, so Granite 4.2 8B has broader tracked availability.
Which offers better value, Command A Translate or Granite 4.2 8B?+
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.