Qwen3.8 2.4T A95B vs Command A Translate

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Deepinfra · Sep 21, 2026Not reported
Output priceFrom · USD / 1M tokens$6.00Deepinfra · Sep 21, 2026Not reported
Context windowMaximum documented tokens262K8K
Model facts checkedAug 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldQwen3.8-2.4T-A95BCommand A Translate
DeveloperQwenCohere
FamilyQwen3 8 2 4t A95bCommand A
ModelQwen3.8-2.4T-A95BCommand A Translate
VersionQwen3.8-2.4T-A95BCommand A Translate
Lifecycleactiveactive
ReleasedUnknown2025-08-28
Knowledge cutoffUnknown2024-06-01
Input modalitiesTextText
Output modalitiesTextText
Context window262K8K
Total parameters2.4T111B
Active parameters95BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Cohere (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, structured_outputs, translation

Qwen3.8 2.4T A95B Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDQwen/Qwen3.8-2.4T-A95B

Command A Translate Capabilities

chatgenerationstructured outputstranslation
Serving providers1
Canonical IDcoherelabs/command-a-translate-08-2025

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 2.4T A95B vs Command A Translate FAQs

Is Qwen3.8 2.4T A95B or Command A Translate better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Command A Translate, 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 Translate?+

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 Translate?+

Qwen3.8 2.4T A95B has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Command A Translate supports 8K.

Which performs better in benchmarks, Qwen3.8 2.4T A95B or Command A Translate?+

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 Translate 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 Translate is not marked open weight.

Can Qwen3.8 2.4T A95B and Command A Translate understand images?+

Qwen3.8 2.4T A95B is not documented with image input; Command A Translate 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 Translate?+

Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Command A Translate is 8K.

Do Qwen3.8 2.4T A95B and Command A Translate support reasoning and tool use?+

Qwen3.8 2.4T A95B: reasoning and tool calling. Command A Translate: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 2.4T A95B or Command A Translate?+

Qwen3.8 2.4T A95B has 5 sourced provider routes; Command A Translate has 1, so Qwen3.8 2.4T A95B has broader tracked availability.

Which offers better value, Qwen3.8 2.4T A95B or Command A Translate?+

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.

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