MiniMax M2.5 vs Stable Diffusion 3.5 Large

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.27Openrouter · Aug 28, 2026Not reported
Output priceFrom · USD / 1M tokens$1.08Openrouter · Aug 28, 2026Not reported
Context windowMaximum documented tokens197K0K
Model facts checkedAug 28, 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

FieldMiniMax-M2.5stable-diffusion-3.5-large
DeveloperMiniMaxStability AI
FamilyMinimax M2 5Stable Diffusion 3 5 Large
ModelMiniMax-M2.5stable-diffusion-3.5-large
VersionMiniMax-M2.5stable-diffusion-3.5-large
Lifecycleactiveactive
Released2026-02-122024-10-22
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextImage
Context window197K0K
Total parameters228.7B8.1B
Active parametersUnknownUnknown
Licenseotherother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessHugging Face (Standard), Openrouter (Standard)Hugging Face (Standard), Stability AI (Pay as you go)
Capabilitieschat, generation, toolsgeneration

MiniMax M2.5 Capabilities

chatgenerationtools
Serving providers2
Canonical IDMiniMaxAI/MiniMax-M2.5

Stable Diffusion 3.5 Large Capabilities

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

Primary Evidence

Sources and Freshness

Questions

MiniMax M2.5 vs Stable Diffusion 3.5 Large FAQs

Is MiniMax M2.5 or Stable Diffusion 3.5 Large better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.5 and Stable Diffusion 3.5 Large, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M2.5 or Stable Diffusion 3.5 Large?+

Only MiniMax M2.5 has a directly sourced input price: $0.27 per million tokens. Only MiniMax M2.5 has a directly sourced output price: $1.08 per million tokens.

Which has a larger context window, MiniMax M2.5 or Stable Diffusion 3.5 Large?+

MiniMax M2.5 has the larger sourced context window. MiniMax M2.5 supports 197K and Stable Diffusion 3.5 Large supports 0K.

Which performs better in benchmarks, MiniMax M2.5 or Stable Diffusion 3.5 Large?+

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

Can MiniMax M2.5 or Stable Diffusion 3.5 Large be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M2.5 is open weight; Stable Diffusion 3.5 Large is open weight.

Can MiniMax M2.5 and Stable Diffusion 3.5 Large understand images?+

MiniMax M2.5 is not documented with image input; Stable Diffusion 3.5 Large is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M2.5 or Stable Diffusion 3.5 Large?+

Neither has a larger sourced maximum output. MiniMax M2.5 is — and Stable Diffusion 3.5 Large is —.

Do MiniMax M2.5 and Stable Diffusion 3.5 Large support reasoning and tool use?+

MiniMax M2.5: tool calling. Stable Diffusion 3.5 Large: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M2.5 or Stable Diffusion 3.5 Large?+

MiniMax M2.5 has 2 sourced provider routes; Stable Diffusion 3.5 Large has 2, a tie.

Which offers better value, MiniMax M2.5 or Stable Diffusion 3.5 Large?+

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.

Send Feedback