stable-diffusion-3.5-medium vs Grok 4.20 Multi-Agent

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Stability AI · activestable-diffusion-3.5-mediumVerified Aug 28, 2026
xAI · previewGrok 4.20 Multi-AgentVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
Fieldstable-diffusion-3.5-mediumGrok 4.20 Multi-Agent
DeveloperStability AIxAI
FamilyStable Diffusion 3 5 MediumGrok 4 20
Modelstable-diffusion-3.5-mediumGrok 4.20 Multi-Agent
Versionstable-diffusion-3.5-mediumGrok 4.20 Multi-Agent
Lifecycleactivepreview
Released2024-10-29Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesImageText
Context window2561,000,000
Total parameters2,469,663,936Unknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessStability AI (Pay as you go)xAI (Standard)
Capabilitiesgenerationgeneration, reasoning, research, tools

13 comparable fields · 12 material differences · Pair passes the primary-source comparison gate

stable-diffusion-3.5-medium Capabilities

generation
Input price
Output price
Serving providers1
Canonical IDstabilityai/stable-diffusion-3.5-medium

Grok 4.20 Multi-Agent Capabilities

generationreasoningresearchtools
Input price$1.25
Output price$2.50
Serving providers1
Canonical IDxai/grok-4.20-multi-agent-0309

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

stable-diffusion-3.5-medium vs Grok 4.20 Multi-Agent FAQs

Is stable-diffusion-3.5-medium or Grok 4.20 Multi-Agent better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both stable-diffusion-3.5-medium and Grok 4.20 Multi-Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, stable-diffusion-3.5-medium or Grok 4.20 Multi-Agent?+

Only Grok 4.20 Multi-Agent has a directly sourced input price: $1.25 per million tokens. Only Grok 4.20 Multi-Agent has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, stable-diffusion-3.5-medium or Grok 4.20 Multi-Agent?+

Grok 4.20 Multi-Agent has the larger sourced context window. stable-diffusion-3.5-medium supports 256 and Grok 4.20 Multi-Agent supports 1,000,000.

Which performs better in benchmarks, stable-diffusion-3.5-medium or Grok 4.20 Multi-Agent?+

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

Can stable-diffusion-3.5-medium or Grok 4.20 Multi-Agent be self-hosted?+

stable-diffusion-3.5-medium is the only model in this pair currently marked as self-hostable. stable-diffusion-3.5-medium is open weight; Grok 4.20 Multi-Agent is not marked open weight.

Can stable-diffusion-3.5-medium and Grok 4.20 Multi-Agent understand images?+

stable-diffusion-3.5-medium is not documented with image input; Grok 4.20 Multi-Agent is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, stable-diffusion-3.5-medium or Grok 4.20 Multi-Agent?+

Neither has a larger sourced maximum output. stable-diffusion-3.5-medium is — and Grok 4.20 Multi-Agent is —.

Do stable-diffusion-3.5-medium and Grok 4.20 Multi-Agent support reasoning and tool use?+

stable-diffusion-3.5-medium: none of these features are definitively sourced. Grok 4.20 Multi-Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, stable-diffusion-3.5-medium or Grok 4.20 Multi-Agent?+

stable-diffusion-3.5-medium has 1 sourced provider route; Grok 4.20 Multi-Agent has 1, a tie.

Which offers better value, stable-diffusion-3.5-medium or Grok 4.20 Multi-Agent?+

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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