Command A vs Stable Diffusion 3.5 Medium

At a Glance

Compare
Command ACohere
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.50Cohere · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$10.00Cohere · Aug 29, 2026Not reported
Context windowMaximum documented tokens256K0K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 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 →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

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

FieldCommand Astable-diffusion-3.5-medium
DeveloperCohereStability AI
FamilyCommand AStable Diffusion 3 5 Medium
ModelCommand Astable-diffusion-3.5-medium
VersionCommand Astable-diffusion-3.5-medium
Lifecycleactiveactive
ReleasedUnknown2024-10-29
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText
Output modalitiesTextImage
Context window256K0K
Total parameters111B2.5B
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessCohere (Standard)Hugging Face (Standard), Stability AI (Pay as you go)
Capabilitiesagents, chat, citations, multilingual, rag, structured_outputs, toolsgeneration

Command A Capabilities

agentschatcitationsmultilingualragstructured outputstools
Serving providers1
Canonical IDcoherelabs/command-a-03-2025

Stable Diffusion 3.5 Medium Capabilities

generation
Serving providers2
Canonical IDstabilityai/stable-diffusion-3.5-medium

Primary Evidence

Sources and Freshness

Questions

Command A vs Stable Diffusion 3.5 Medium FAQs

Is Command A or Stable Diffusion 3.5 Medium better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A and Stable Diffusion 3.5 Medium, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Command A or Stable Diffusion 3.5 Medium?+

Only Command A has a directly sourced input price: $2.50 per million tokens. Only Command A has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Command A or Stable Diffusion 3.5 Medium?+

Command A has the larger sourced context window. Command A supports 256K and Stable Diffusion 3.5 Medium supports 0K.

Which performs better in benchmarks, Command A or Stable Diffusion 3.5 Medium?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Command A or Stable Diffusion 3.5 Medium be self-hosted?+

Stable Diffusion 3.5 Medium is the only model in this pair currently marked as self-hostable. Command A is not marked open weight; Stable Diffusion 3.5 Medium is open weight.

Can Command A and Stable Diffusion 3.5 Medium understand images?+

Command A is not documented with image input; Stable Diffusion 3.5 Medium is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Command A or Stable Diffusion 3.5 Medium?+

Neither has a larger sourced maximum output. Command A is 8K and Stable Diffusion 3.5 Medium is —.

Do Command A and Stable Diffusion 3.5 Medium support reasoning and tool use?+

Command A: tool calling. Stable Diffusion 3.5 Medium: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Command A or Stable Diffusion 3.5 Medium?+

Command A has 1 sourced provider route; Stable Diffusion 3.5 Medium has 2, so Stable Diffusion 3.5 Medium has broader tracked availability.

Which offers better value, Command A or Stable Diffusion 3.5 Medium?+

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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