Olmo 3.1 32B Instruct vs GLM 5

At a Glance

Compare
GLM 5Z.ai
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.60Deepinfra · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$1.92Openrouter · Aug 28, 2026
Context windowMaximum documented tokens66K203K
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 →
BenchmarkOlmo-3.1-32B-InstructGLM-5
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,311.8391% of row best · rating · olmo-3.1-32b-instruct; 95% CI [1305.66595265, 1318.00150818]; votes 11452; rank 2271,446.27100% 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

FieldOlmo-3.1-32B-InstructGLM-5
DeveloperAi2Z.ai
FamilyOlmo 3 1 32b InstructGlm 5
ModelOlmo-3.1-32B-InstructGLM-5
VersionOlmo-3.1-32B-InstructGLM-5
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window66K203K
Total parameters32.2B753.9B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, tools

Olmo 3.1 32B Instruct Capabilities

chatgenerationtools
Serving providers0
Canonical IDallenai/Olmo-3.1-32B-Instruct

GLM 5 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5

Primary Evidence

Sources and Freshness

Questions

Olmo 3.1 32B Instruct vs GLM 5 FAQs

Is Olmo 3.1 32B Instruct or GLM 5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3.1 32B Instruct and GLM 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo 3.1 32B Instruct or GLM 5?+

Only GLM 5 has a directly sourced input price: $0.60 per million tokens. Only GLM 5 has a directly sourced output price: $1.92 per million tokens.

Which has a larger context window, Olmo 3.1 32B Instruct or GLM 5?+

GLM 5 has the larger sourced context window. Olmo 3.1 32B Instruct supports 66K and GLM 5 supports 203K.

Which performs better in benchmarks, Olmo 3.1 32B Instruct or GLM 5?+

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

Can Olmo 3.1 32B Instruct or GLM 5 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Olmo 3.1 32B Instruct is open weight; GLM 5 is open weight.

Can Olmo 3.1 32B Instruct and GLM 5 understand images?+

Olmo 3.1 32B Instruct 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, Olmo 3.1 32B Instruct or GLM 5?+

Neither has a larger sourced maximum output. Olmo 3.1 32B Instruct is 33K and GLM 5 is —.

Do Olmo 3.1 32B Instruct and GLM 5 support reasoning and tool use?+

Olmo 3.1 32B Instruct: tool calling. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo 3.1 32B Instruct or GLM 5?+

Olmo 3.1 32B Instruct has 0 sourced provider routes; GLM 5 has 4, so GLM 5 has broader tracked availability.

Which offers better value, Olmo 3.1 32B Instruct 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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