Qwen3.8 2.4T A95B vs Command A Reasoning
At a Glance
| Compare |  Command A ReasoningCohere | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Sep 23, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Sep 23, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 256K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Qwen3.8-2.4T-A95B | Command A Reasoning |
|---|---|---|
| Developer | Qwen | Cohere |
| Family | Qwen3 8 2 4t A95b | Command A |
| Model | Qwen3.8-2.4T-A95B | Command A Reasoning |
| Version | Qwen3.8-2.4T-A95B | Command A Reasoning |
| Lifecycle | active | active |
| Released | Unknown | 2025-08-21 |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 256K |
| Total parameters | 2.4T | 111B |
| Active parameters | 95B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Cohere (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, citations, reasoning, rag, structured_outputs, tools |
Qwen3.8 2.4T A95B Capabilities
Command A Reasoning Capabilities
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| vs |  Hy4 previewTencent | cross-developer peerstext | |
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| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs Command A Reasoning FAQs
Is Qwen3.8 2.4T A95B or Command A Reasoning better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Command A Reasoning, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 2.4T A95B or Command A Reasoning?+
Only Qwen3.8 2.4T A95B has a directly sourced input price: $2.00 per million tokens. Only Qwen3.8 2.4T A95B has a directly sourced output price: $6.00 per million tokens.
Which has a larger context window, Qwen3.8 2.4T A95B or Command A Reasoning?+
Qwen3.8 2.4T A95B has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Command A Reasoning supports 256K.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or Command A Reasoning?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 2.4T A95B or Command A Reasoning be self-hosted?+
Qwen3.8 2.4T A95B is the only model in this pair currently marked as self-hostable. Qwen3.8 2.4T A95B is open weight; Command A Reasoning is not marked open weight.
Can Qwen3.8 2.4T A95B and Command A Reasoning understand images?+
Qwen3.8 2.4T A95B is not documented with image input; Command A Reasoning is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 2.4T A95B or Command A Reasoning?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Command A Reasoning is 32K.
Do Qwen3.8 2.4T A95B and Command A Reasoning support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. Command A Reasoning: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or Command A Reasoning?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; Command A Reasoning has 1, so Qwen3.8 2.4T A95B has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B or Command A Reasoning?+
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.