MiniMax M3 vs GLM 5.1

At a Glance

Compare
MiniMax M3MiniMax
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#35 of 4632.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 21.8–55.1UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#3 of 44$0.017 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#10 of 3859.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 53.8–70.4UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.28Deepinfra · Sep 21, 2026$1.05Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$1.10Deepinfra · Sep 21, 2026$3.50Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens1,049K203K
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-M3GLM-5.1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,433.5098% of row best · rating · minimax-m3; 95% CI [1429.31077607, 1437.68800840]; votes 48540; rank 821,462.38100% 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-M3GLM-5.1
DeveloperMiniMaxZ.ai
FamilyMinimax M3Glm 5 1
ModelMiniMax-M3GLM-5.1
VersionMiniMax-M3GLM-5.1
Lifecycleactiveactive
Released2026-06-01Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,049K203K
Total parameters427B753.9B
Active parameters23BUnknown
Licenseothermit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

MiniMax M3 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M3

GLM 5.1 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5.1

Primary Evidence

Sources and Freshness

Questions

MiniMax M3 vs GLM 5.1 FAQs

Is MiniMax M3 or GLM 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M3 and GLM 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M3 or GLM 5.1?+

MiniMax M3 is $0.28 and GLM 5.1 is $1.05 per million tokens, so MiniMax M3 is cheaper on this metric. MiniMax M3 is $1.10 and GLM 5.1 is $3.50 per million tokens, so MiniMax M3 is cheaper on this metric.

Which has a larger context window, MiniMax M3 or GLM 5.1?+

MiniMax M3 has the larger sourced context window. MiniMax M3 supports 1,049K and GLM 5.1 supports 203K.

Which performs better in benchmarks, MiniMax M3 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 M3 or GLM 5.1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M3 is open weight; GLM 5.1 is open weight.

Can MiniMax M3 and GLM 5.1 understand images?+

MiniMax M3 is 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 M3 or GLM 5.1?+

Neither has a larger sourced maximum output. MiniMax M3 is — and GLM 5.1 is —.

Do MiniMax M3 and GLM 5.1 support reasoning and tool use?+

MiniMax M3: reasoning, tool calling, and image input. GLM 5.1: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M3 or GLM 5.1?+

MiniMax M3 has 5 sourced provider routes; GLM 5.1 has 4, so MiniMax M3 has broader tracked availability.

Which offers better value, MiniMax M3 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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