MiniMax M2.7 vs Gemini 3.8 Flash

At a Glance

Compare
Gemini 3.8 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#26 of 44$0.160 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.25Deepinfra · Sep 3, 2026$0.75Google AI · Sep 2, 2026
Output priceFrom · USD / 1M tokens$1.00Deepinfra · Sep 3, 2026$3.75Google AI · Sep 2, 2026
Context windowMaximum documented tokens205K1,049K
Model facts checkedAug 28, 2026View model evidence →Sep 2, 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 →
BenchmarkMiniMax-M2.7Gemini 3.8 Flash
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader-14.0282% of row best · score · Minimax M2.7; 95% CI [-15.09137111, -12.95249504]; sessions 37764; observations 858163; rank 444.71100% of row best · score · Gemini 3.8 Flash (High); 95% CI [2.80246501, 6.61533867]; sessions 12534; observations 712246; rank 13
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,404.6194% of row best · rating · minimax-m2.7; 95% CI [1401.03588542, 1408.19095698]; votes 69169; rank 1381,494.67100% of row best · rating · gemini-3.8-flash-high; 95% CI [1486.13928353, 1503.20869643]; votes 5076; rank 6
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner2 benchmark winsNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldMiniMax-M2.7Gemini 3.8 Flash
DeveloperMiniMaxGoogle DeepMind
FamilyMinimax M2 7Gemini 3
ModelMiniMax-M2.7Gemini 3.8 Flash
VersionMiniMax-M2.7Gemini 3.8 Flash
Lifecycleactiveactive
Released2026-03-182026-09-02
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesTextText
Context window205K1,049K
Total parameters228.7BUnknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, toolschat, code_execution, computer_use, generation, reasoning, structured_outputs, tools

MiniMax M2.7 Capabilities

chatgenerationtools
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M2.7

Gemini 3.8 Flash Capabilities

chatcode executioncomputer usegenerationreasoningstructured outputstools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.8-flash

Primary Evidence

Sources and Freshness

Questions

MiniMax M2.7 vs Gemini 3.8 Flash FAQs

Is MiniMax M2.7 or Gemini 3.8 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.7 and Gemini 3.8 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M2.7 or Gemini 3.8 Flash?+

MiniMax M2.7 is $0.25 and Gemini 3.8 Flash is $0.75 per million tokens, so MiniMax M2.7 is cheaper on this metric. MiniMax M2.7 is $1.00 and Gemini 3.8 Flash is $3.75 per million tokens, so MiniMax M2.7 is cheaper on this metric.

Which has a larger context window, MiniMax M2.7 or Gemini 3.8 Flash?+

Gemini 3.8 Flash has the larger sourced context window. MiniMax M2.7 supports 205K and Gemini 3.8 Flash supports 1,049K.

Which performs better in benchmarks, MiniMax M2.7 or Gemini 3.8 Flash?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can MiniMax M2.7 or Gemini 3.8 Flash be self-hosted?+

MiniMax M2.7 is the only model in this pair currently marked as self-hostable. MiniMax M2.7 is open weight; Gemini 3.8 Flash is not marked open weight.

Can MiniMax M2.7 and Gemini 3.8 Flash understand images?+

MiniMax M2.7 is not documented with image input; Gemini 3.8 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M2.7 or Gemini 3.8 Flash?+

Neither has a larger sourced maximum output. MiniMax M2.7 is — and Gemini 3.8 Flash is 66K.

Do MiniMax M2.7 and Gemini 3.8 Flash support reasoning and tool use?+

MiniMax M2.7: tool calling. Gemini 3.8 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M2.7 or Gemini 3.8 Flash?+

MiniMax M2.7 has 5 sourced provider routes; Gemini 3.8 Flash has 2, so MiniMax M2.7 has broader tracked availability.

Which offers better value, MiniMax M2.7 or Gemini 3.8 Flash?+

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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