GLM 5.2 vs GLM 5V Turbo

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#23 of 4661.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.3–74.6UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#12 of 44$0.056 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#7 of 3861.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 51.0–67.6UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.75Deepinfra · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$2.40Deepinfra · Sep 22, 2026Not reported
Context windowMaximum documented tokens1,049K200K
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 →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGLM-5.2GLM-5V-Turbo
DeveloperZ.aiZ.ai
FamilyGlm 5 2Glm 5v
ModelGLM-5.2GLM-5V-Turbo
VersionGLM-5.2GLM-5V-Turbo
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Document
Output modalitiesTextText
Context window1,049K200K
Total parameters753.3BUnknown
Active parametersUnknownUnknown
LicensemitUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Z.ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, computer-use, reasoning, tools, vision

GLM 5.2 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDzai-org/GLM-5.2

GLM 5V Turbo Capabilities

agentschatcomputer-usereasoningtoolsvision
Serving providers1
Canonical IDzai-org/glm-5v-turbo

Primary Evidence

Sources and Freshness

Questions

GLM 5.2 vs GLM 5V Turbo FAQs

Is GLM 5.2 or GLM 5V Turbo better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GLM 5.2 and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GLM 5.2 or GLM 5V Turbo?+

Only GLM 5.2 has a directly sourced input price: $0.75 per million tokens. Only GLM 5.2 has a directly sourced output price: $2.40 per million tokens.

Which has a larger context window, GLM 5.2 or GLM 5V Turbo?+

GLM 5.2 has the larger sourced context window. GLM 5.2 supports 1,049K and GLM 5V Turbo supports 200K.

Which performs better in benchmarks, GLM 5.2 or GLM 5V Turbo?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can GLM 5.2 or GLM 5V Turbo be self-hosted?+

GLM 5.2 is the only model in this pair currently marked as self-hostable. GLM 5.2 is open weight; GLM 5V Turbo is not marked open weight.

Can GLM 5.2 and GLM 5V Turbo understand images?+

GLM 5.2 is not documented with image input; GLM 5V Turbo is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GLM 5.2 or GLM 5V Turbo?+

Neither has a larger sourced maximum output. GLM 5.2 is — and GLM 5V Turbo is 131K.

Do GLM 5.2 and GLM 5V Turbo support reasoning and tool use?+

GLM 5.2: reasoning and tool calling. GLM 5V Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, GLM 5.2 or GLM 5V Turbo?+

GLM 5.2 has 5 sourced provider routes; GLM 5V Turbo has 1, so GLM 5.2 has broader tracked availability.

Which offers better value, GLM 5.2 or GLM 5V Turbo?+

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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