MiniMax M2.5 vs Gemini Computer Use

At a Glance

Compare
Gemini Computer UseGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.27Openrouter · Aug 28, 2026$1.25Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokens$1.08Openrouter · Aug 28, 2026$10.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens197K128K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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

FieldMiniMax-M2.5Gemini Computer Use
DeveloperMiniMaxGoogle DeepMind
FamilyMinimax M2 5Gemini Tools
ModelMiniMax-M2.5Gemini Computer Use
VersionMiniMax-M2.5Gemini Computer Use
Lifecycleactivepreview
Released2026-02-12Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window197K128K
Total parameters228.7BUnknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), Openrouter (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, toolsgeneration, reasoning, tools

MiniMax M2.5 Capabilities

chatgenerationtools
Serving providers2
Canonical IDMiniMaxAI/MiniMax-M2.5

Gemini Computer Use Capabilities

generationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-computer-use-preview-10-2025

Primary Evidence

Sources and Freshness

Questions

MiniMax M2.5 vs Gemini Computer Use FAQs

Is MiniMax M2.5 or Gemini Computer Use better for coding?+

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

Which is cheaper, MiniMax M2.5 or Gemini Computer Use?+

MiniMax M2.5 is $0.27 and Gemini Computer Use is $1.25 per million tokens, so MiniMax M2.5 is cheaper on this metric. MiniMax M2.5 is $1.08 and Gemini Computer Use is $10.00 per million tokens, so MiniMax M2.5 is cheaper on this metric.

Which has a larger context window, MiniMax M2.5 or Gemini Computer Use?+

MiniMax M2.5 has the larger sourced context window. MiniMax M2.5 supports 197K and Gemini Computer Use supports 128K.

Which performs better in benchmarks, MiniMax M2.5 or Gemini Computer Use?+

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 Gemini Computer Use be self-hosted?+

MiniMax M2.5 is the only model in this pair currently marked as self-hostable. MiniMax M2.5 is open weight; Gemini Computer Use is not marked open weight.

Can MiniMax M2.5 and Gemini Computer Use understand images?+

MiniMax M2.5 is not documented with image input; Gemini Computer Use is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M2.5 or Gemini Computer Use?+

Neither has a larger sourced maximum output. MiniMax M2.5 is — and Gemini Computer Use is 64K.

Do MiniMax M2.5 and Gemini Computer Use support reasoning and tool use?+

MiniMax M2.5: tool calling. Gemini Computer Use: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M2.5 or Gemini Computer Use?+

MiniMax M2.5 has 2 sourced provider routes; Gemini Computer Use has 2, a tie.

Which offers better value, MiniMax M2.5 or Gemini Computer Use?+

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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