MiniMax M2.5 vs GLM 5.3

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#16 of 4670.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.9–80.3
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#34 of 44$0.248 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#26 of 3850.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 38.2–54.9
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.27Openrouter · Aug 28, 2026$1.20Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokens$1.08Openrouter · Aug 28, 2026$4.00Deepinfra · Sep 22, 2026
Context windowMaximum documented tokens197K1,000K
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 →
BenchmarkMiniMax-M2.5GLM-5.3
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,358.9092% of row best · rating · minimax-m2.5; 95% CI [1354.93997261, 1362.86079851]; votes 40843; rank 1841,475.08100% of row best · rating · glm-5.3-max; 95% CI [1468.67816284, 1481.48915679]; votes 10960; rank 20
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo 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-M2.5GLM-5.3
DeveloperMiniMaxZ.ai
FamilyMinimax M2 5Glm 5 3
ModelMiniMax-M2.5GLM-5.3
VersionMiniMax-M2.5GLM-5.3
Lifecycleactiveactive
Released2026-02-12Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window197K1,000K
Total parameters228.7BUnknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), Openrouter (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitieschat, generation, toolsagents, chat, reasoning, structured_outputs, tools

MiniMax M2.5 Capabilities

chatgenerationtools
Serving providers2
Canonical IDMiniMaxAI/MiniMax-M2.5

GLM 5.3 Capabilities

agentschatreasoningstructured outputstools
Serving providers4
Canonical IDzai-org/glm-5.3

Primary Evidence

Sources and Freshness

Questions

MiniMax M2.5 vs GLM 5.3 FAQs

Is MiniMax M2.5 or GLM 5.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.5 and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M2.5 or GLM 5.3?+

MiniMax M2.5 is $0.27 and GLM 5.3 is $1.20 per million tokens, so MiniMax M2.5 is cheaper on this metric. MiniMax M2.5 is $1.08 and GLM 5.3 is $4.00 per million tokens, so MiniMax M2.5 is cheaper on this metric.

Which has a larger context window, MiniMax M2.5 or GLM 5.3?+

GLM 5.3 has the larger sourced context window. MiniMax M2.5 supports 197K and GLM 5.3 supports 1,000K.

Which performs better in benchmarks, MiniMax M2.5 or GLM 5.3?+

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 GLM 5.3 be self-hosted?+

MiniMax M2.5 is the only model in this pair currently marked as self-hostable. MiniMax M2.5 is open weight; GLM 5.3 is not marked open weight.

Can MiniMax M2.5 and GLM 5.3 understand images?+

MiniMax M2.5 is not documented with image input; GLM 5.3 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M2.5 or GLM 5.3?+

Neither has a larger sourced maximum output. MiniMax M2.5 is — and GLM 5.3 is 131K.

Do MiniMax M2.5 and GLM 5.3 support reasoning and tool use?+

MiniMax M2.5: tool calling. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M2.5 or GLM 5.3?+

MiniMax M2.5 has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.

Which offers better value, MiniMax M2.5 or GLM 5.3?+

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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