MiniMax M2.5 vs GLM 5.1

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.27Openrouter · Aug 28, 2026$1.05Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$1.08Openrouter · Aug 28, 2026$3.50Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens197K203K
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 →

Available Benchmarks

All benchmark results →
BenchmarkMiniMax-M2.5GLM-5.1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,358.9093% of row best · rating · minimax-m2.5; 95% CI [1354.93997261, 1362.86079851]; votes 40843; rank 1841,462.38100% of row best · rating · glm-5.1; 95% CI [1458.52340519, 1466.22702609]; votes 48901; rank 33
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-5.1
DeveloperMiniMaxZ.ai
FamilyMinimax M2 5Glm 5 1
ModelMiniMax-M2.5GLM-5.1
VersionMiniMax-M2.5GLM-5.1
Lifecycleactiveactive
Released2026-02-12Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window197K203K
Total parameters228.7B753.9B
Active parametersUnknownUnknown
Licenseothermit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessHugging Face (Standard), Openrouter (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, tools

MiniMax M2.5 Capabilities

chatgenerationtools
Serving providers2
Canonical IDMiniMaxAI/MiniMax-M2.5

GLM 5.1 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5.1

Primary Evidence

Sources and Freshness

Questions

MiniMax M2.5 vs GLM 5.1 FAQs

Is MiniMax M2.5 or GLM 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.5 and GLM 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M2.5 or GLM 5.1?+

MiniMax M2.5 is $0.27 and GLM 5.1 is $1.05 per million tokens, so MiniMax M2.5 is cheaper on this metric. MiniMax M2.5 is $1.08 and GLM 5.1 is $3.50 per million tokens, so MiniMax M2.5 is cheaper on this metric.

Which has a larger context window, MiniMax M2.5 or GLM 5.1?+

GLM 5.1 has the larger sourced context window. MiniMax M2.5 supports 197K and GLM 5.1 supports 203K.

Which performs better in benchmarks, MiniMax M2.5 or GLM 5.1?+

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 5.1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M2.5 is open weight; GLM 5.1 is open weight.

Can MiniMax M2.5 and GLM 5.1 understand images?+

MiniMax M2.5 is not documented with image input; GLM 5.1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M2.5 or GLM 5.1?+

Neither has a larger sourced maximum output. MiniMax M2.5 is — and GLM 5.1 is —.

Do MiniMax M2.5 and GLM 5.1 support reasoning and tool use?+

MiniMax M2.5: tool calling. GLM 5.1: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M2.5 or GLM 5.1?+

MiniMax M2.5 has 2 sourced provider routes; GLM 5.1 has 4, so GLM 5.1 has broader tracked availability.

Which offers better value, MiniMax M2.5 or GLM 5.1?+

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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