Granite 4.1 8B vs GLM 5.2

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#23 of 4661.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.3–74.6
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#12 of 44$0.056 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#7 of 3861.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 51.0–67.6
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.050Openrouter · Sep 4, 2026$0.75Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$0.10Openrouter · Sep 4, 2026$2.40Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens131K1,049K
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 →
Benchmarkgranite-4.1-8bGLM-5.2
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,292.0888% of row best · rating · granite-4.1-8b; 95% CI [1281.97987405, 1302.17160048]; votes 4023; rank 2411,466.93100% of row best · rating · glm-5.2-max; 95% CI [1462.35303996, 1471.51268346]; votes 36798; rank 29
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

Fieldgranite-4.1-8bGLM-5.2
DeveloperIBMZ.ai
FamilyGranite 4 1 8bGlm 5 2
Modelgranite-4.1-8bGLM-5.2
Versiongranite-4.1-8bGLM-5.2
Lifecycleactiveactive
Released2026-04-29Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K1,049K
Total parameters8.8B753.3B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessOpenrouter (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, tools

Granite 4.1 8B Capabilities

chatgenerationtools
Serving providers1
Canonical IDibm-granite/granite-4.1-8b

GLM 5.2 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDzai-org/GLM-5.2

Primary Evidence

Sources and Freshness

Questions

Granite 4.1 8B vs GLM 5.2 FAQs

Is Granite 4.1 8B or GLM 5.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.1 8B and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.1 8B or GLM 5.2?+

Granite 4.1 8B is $0.050 and GLM 5.2 is $0.75 per million tokens, so Granite 4.1 8B is cheaper on this metric. Granite 4.1 8B is $0.10 and GLM 5.2 is $2.40 per million tokens, so Granite 4.1 8B is cheaper on this metric.

Which has a larger context window, Granite 4.1 8B or GLM 5.2?+

GLM 5.2 has the larger sourced context window. Granite 4.1 8B supports 131K and GLM 5.2 supports 1,049K.

Which performs better in benchmarks, Granite 4.1 8B or GLM 5.2?+

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

Can Granite 4.1 8B or GLM 5.2 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite 4.1 8B is open weight; GLM 5.2 is open weight.

Can Granite 4.1 8B and GLM 5.2 understand images?+

Granite 4.1 8B is not documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.1 8B or GLM 5.2?+

Neither has a larger sourced maximum output. Granite 4.1 8B is — and GLM 5.2 is —.

Do Granite 4.1 8B and GLM 5.2 support reasoning and tool use?+

Granite 4.1 8B: tool calling. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.1 8B or GLM 5.2?+

Granite 4.1 8B has 1 sourced provider route; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.

Which offers better value, Granite 4.1 8B or GLM 5.2?+

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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