Command A Plus 05 2026 BF16 vs Qwen3.8 Max
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | command-a-plus-05-2026-bf16 | 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-plus-05-2026-bf16 | Qwen3.8-Max |
|---|---|---|
| Developer | Cohere | Qwen |
| Family | Command A Plus 05 | Qwen3 8 Max |
| Model | command-a-plus-05-2026-bf16 | Qwen3.8-Max |
| Version | command-a-plus-05-2026-bf16 | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 200K | 1,000K |
| Total parameters | 218.8B | 2.4T |
| Active parameters | 25B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | agents, chat, reasoning, structured_outputs, tools, vision |
12 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Command A Plus 05 2026 BF16 Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Command A Plus 05 2026 BF16 vs Qwen3.8 Max FAQs
Is Command A Plus 05 2026 BF16 or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A Plus 05 2026 BF16 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 Plus 05 2026 BF16 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 Plus 05 2026 BF16 or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced context window. Command A Plus 05 2026 BF16 supports 200K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, Command A Plus 05 2026 BF16 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 Plus 05 2026 BF16 or Qwen3.8 Max be self-hosted?+
Command A Plus 05 2026 BF16 is the only model in this pair currently marked as self-hostable. Command A Plus 05 2026 BF16 is open weight; Qwen3.8 Max is not marked open weight.
Can Command A Plus 05 2026 BF16 and Qwen3.8 Max understand images?+
Command A Plus 05 2026 BF16 is 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 Plus 05 2026 BF16 or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output: Command A Plus 05 2026 BF16 supports 66K and Qwen3.8 Max supports 131K output tokens.
Do Command A Plus 05 2026 BF16 and Qwen3.8 Max support reasoning and tool use?+
Command A Plus 05 2026 BF16: tool calling and image input. 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 Plus 05 2026 BF16 or Qwen3.8 Max?+
Command A Plus 05 2026 BF16 has 0 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Command A Plus 05 2026 BF16 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.