Command A Translate vs Qwen3.8 Max
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Command A Translate | Qwen3.8-Max |
|---|---|---|
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #19 of 36$0.107 per LiveBench case |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Command A Translate | Qwen3.8-Max |
|---|---|---|
| Developer | Cohere | Qwen |
| Family | Command A | Qwen3 8 Max |
| Model | Command A Translate | Qwen3.8-Max |
| Version | Command A Translate | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2025-08-28 | Unknown |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 8K | 1,000K |
| Total parameters | 111B | 2.4T |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Cohere (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, structured_outputs, translation | agents, chat, reasoning, structured_outputs, tools, vision |
14 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Command A Translate Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
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Command A TranslateCohere | vs | Hy4 previewTencent | cross-developer peerstext |
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Command A TranslateCohere | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Command A TranslateCohere | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Command A Translate vs Qwen3.8 Max FAQs
Is Command A Translate or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A Translate and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Command A Translate or Qwen3.8 Max?+
Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.
Which has a larger context window, Command A Translate or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced context window. Command A Translate supports 8K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, Command A Translate or Qwen3.8 Max?+
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 Qwen3.8 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Command A Translate is not marked open weight; Qwen3.8 Max is not marked open weight.
Can Command A Translate and Qwen3.8 Max understand images?+
Command A Translate is not documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Command A Translate or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output: Command A Translate supports 8K and Qwen3.8 Max supports 131K output tokens.
Do Command A Translate and Qwen3.8 Max support reasoning and tool use?+
Command A Translate: none of these features are definitively sourced. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Command A Translate or Qwen3.8 Max?+
Command A Translate has 1 sourced provider route; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Command A Translate or Qwen3.8 Max?+
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.