MiniMax M3 vs GLM 5.3 Flash

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 21.8–55.1#29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8
CostLower is better · Published-token output estimate#3 of 44$0.017 per LiveBench case#2 of 44$0.0087 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#10 of 3859.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 53.8–70.4#1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.28Deepinfra · Sep 21, 2026$0.075Z.ai · Aug 29, 2026
Output priceFrom · USD / 1M tokens$1.10Deepinfra · Sep 21, 2026$0.25Z.ai · Aug 29, 2026
Context windowMaximum documented tokens1,049K1,000K
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-M3GLM-5.3-Flash
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader-5.7693% of row best · score · Minimax M3; 95% CI [-6.59075506, -4.93697068]; sessions 39156; observations 2879059; rank 371.15100% of row best · score · GLM 5.3 Flash; 95% CI [0.48275443, 1.81278415]; sessions 43164; observations 4433017; rank 25
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,433.5097% of row best · rating · minimax-m3; 95% CI [1429.31077607, 1437.68800840]; votes 48540; rank 821,471.89100% of row best · rating · glm-5.3-flash; 95% CI [1465.37026588, 1478.41920488]; votes 10038; rank 24
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,254.3197% of row best · rating · minimax-m3; 95% CI [1247.29883203, 1261.32003459]; votes 15192; rank 501,298.71100% of row best · rating · glm-5.3-flash; 95% CI [1287.06707337, 1310.34654848]; votes 3110; rank 17
LiveBench2026-06-25 · overall · leader70.2696% of row best · percent · minimax-m3 · 15,530 output tokens / case73.27100% of row best · percent · glm-5.3-flash · 34,707 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified83.4495% of row best · points · MiniMax M3 · 16,142 output tokens / case88.19100% of row best · points · GLM-5.3 Flash · 25,960 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins4 benchmark winsOverall lead

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

Quality Versus Estimated Output Cost

Full ranking →
Efficiency FrontierLiveBench overall · output estimate
Upper-left is better
xAIZ.aiMiniMaxDeepSeekOpenAIQwenGoogle DeepMindMoonshot AIAnthropic
LiveBench quality versus score-adjusted output costEach dot is a reviewed major-model configuration and is colored by developer. Higher means a better LiveBench overall score. Farther left means lower estimated output cost after adjusting by the score. A dotted line connects the non-dominated frontier observations. When models are selected, their sourced families remain prominent, unrelated observations retain their developer colors at lower opacity, and an orange ring identifies each selected model.$0.0050$0.010$0.050$0.100$0.500$1.006873798489Grok Build 0.1GLM 5.3 FlashDeepSeek V4.1 Flash (max)GPT-5.6 Sol (max)GPT-6 Astra (max)Claude Fable 5.1Score-adjusted output cost per LiveBench case (log) →LiveBench overall →
The dotted frontier connects measured, non-dominated major-model observations. With a selection, sourced families stay prominent, unrelated observations retain their developer colors at lower opacity, and orange rings mark the selected model or models. Family lines connect models only when their sourced family and generation match. Cost is estimated from published output tokens and the lowest current USD output rate; it excludes input, caching, batch discounts, and provider-specific benchmark execution details.

Side-by-Side Facts

FieldMiniMax-M3GLM-5.3-Flash
DeveloperMiniMaxZ.ai
FamilyMinimax M3Glm 5 3 Flash
ModelMiniMax-M3GLM-5.3-Flash
VersionMiniMax-M3GLM-5.3-Flash
Lifecycleactiveactive
Released2026-06-012026-09-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video, Document
Output modalitiesTextText
Context window1,049K1,000K
Total parameters427B320B
Active parameters23B18B
LicenseotherMIT
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, computer-use, reasoning, structured_outputs, tools, vision

MiniMax M3 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M3

GLM 5.3 Flash Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDzai-org/glm-5.3-flash

Primary Evidence

Sources and Freshness

Questions

MiniMax M3 vs GLM 5.3 Flash FAQs

Is MiniMax M3 or GLM 5.3 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M3 and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M3 or GLM 5.3 Flash?+

MiniMax M3 is $0.28 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. MiniMax M3 is $1.10 and GLM 5.3 Flash is $0.25 per million tokens, so GLM 5.3 Flash is cheaper on this metric.

Which has a larger context window, MiniMax M3 or GLM 5.3 Flash?+

MiniMax M3 has the larger sourced context window. MiniMax M3 supports 1,049K and GLM 5.3 Flash supports 1,000K.

Which performs better in benchmarks, MiniMax M3 or GLM 5.3 Flash?+

GLM 5.3 Flash leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can MiniMax M3 or GLM 5.3 Flash be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M3 is open weight; GLM 5.3 Flash is open weight.

Can MiniMax M3 and GLM 5.3 Flash understand images?+

MiniMax M3 is documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M3 or GLM 5.3 Flash?+

Neither has a larger sourced maximum output. MiniMax M3 is — and GLM 5.3 Flash is 131K.

Do MiniMax M3 and GLM 5.3 Flash support reasoning and tool use?+

MiniMax M3: reasoning, tool calling, and image input. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M3 or GLM 5.3 Flash?+

MiniMax M3 has 5 sourced provider routes; GLM 5.3 Flash has 4, so MiniMax M3 has broader tracked availability.

Which offers better value, MiniMax M3 or GLM 5.3 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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