Granite 4.2 8B vs GLM 5

At a Glance

Compare
GLM 5Z.ai
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.060Deepinfra · Sep 21, 2026$0.60Deepinfra · Sep 3, 2026
Output priceFrom · USD / 1M tokens$0.25Deepinfra · Sep 21, 2026$1.92Openrouter · Aug 28, 2026
Context windowMaximum documented tokens131K203K
Model facts checkedSep 2, 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 4.2 8BGLM-5
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,316.7891% of row best · rating · granite-4.2-8b; 95% CI [1305.41435264, 1328.15511064]; votes 3087; rank 2251,446.27100% of row best · rating · glm-5; 95% CI [1441.95071870, 1450.59229773]; votes 27605; rank 51
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 4.2 8BGLM-5
DeveloperIBMZ.ai
FamilyGranite 4 2Glm 5
ModelGranite 4.2 8BGLM-5
VersionGranite 4.2 8BGLM-5
Lifecycleactiveactive
Released2026-08-25Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K203K
Total parameters8.8B753.9B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Openrouter (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

Granite 4.2 8B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDibm-granite/granite-4.2-8b

GLM 5 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5

Primary Evidence

Sources and Freshness

Questions

Granite 4.2 8B vs GLM 5 FAQs

Is Granite 4.2 8B or GLM 5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 8B and GLM 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.2 8B or GLM 5?+

Granite 4.2 8B is $0.060 and GLM 5 is $0.60 per million tokens, so Granite 4.2 8B is cheaper on this metric. Granite 4.2 8B is $0.25 and GLM 5 is $1.92 per million tokens, so Granite 4.2 8B is cheaper on this metric.

Which has a larger context window, Granite 4.2 8B or GLM 5?+

GLM 5 has the larger sourced context window. Granite 4.2 8B supports 131K and GLM 5 supports 203K.

Which performs better in benchmarks, Granite 4.2 8B or GLM 5?+

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

Can Granite 4.2 8B or GLM 5 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite 4.2 8B is open weight; GLM 5 is open weight.

Can Granite 4.2 8B and GLM 5 understand images?+

Granite 4.2 8B is not documented with image input; GLM 5 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.2 8B or GLM 5?+

Neither has a larger sourced maximum output. Granite 4.2 8B is — and GLM 5 is —.

Do Granite 4.2 8B and GLM 5 support reasoning and tool use?+

Granite 4.2 8B: reasoning and tool calling. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.2 8B or GLM 5?+

Granite 4.2 8B has 2 sourced provider routes; GLM 5 has 4, so GLM 5 has broader tracked availability.

Which offers better value, Granite 4.2 8B or GLM 5?+

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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