Olmo 3 32B Think vs GLM 5.1

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.15Openrouter · Aug 28, 2026$1.05Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$0.50Openrouter · Aug 28, 2026$3.50Deepinfra · Sep 23, 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-3-32B-ThinkGLM-5.1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,299.7189% of row best · rating · olmo-3-32b-think; 95% CI [1291.40753288, 1308.02044894]; votes 5682; rank 2341,462.38100% of row best · rating · glm-5.1; 95% CI [1458.52340519, 1466.22702609]; votes 48901; rank 33
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-3-32B-ThinkGLM-5.1
DeveloperAi2Z.ai
FamilyOlmo 3 32b ThinkGlm 5 1
ModelOlmo-3-32B-ThinkGLM-5.1
VersionOlmo-3-32B-ThinkGLM-5.1
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window66K203K
Total parameters32.2B753.9B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessOpenrouter (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, tools

Olmo 3 32B Think Capabilities

chatgenerationreasoning
Serving providers1
Canonical IDallenai/Olmo-3-32B-Think

GLM 5.1 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5.1

Primary Evidence

Sources and Freshness

Questions

Olmo 3 32B Think vs GLM 5.1 FAQs

Is Olmo 3 32B Think or GLM 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 32B Think and GLM 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo 3 32B Think or GLM 5.1?+

Olmo 3 32B Think is $0.15 and GLM 5.1 is $1.05 per million tokens, so Olmo 3 32B Think is cheaper on this metric. Olmo 3 32B Think is $0.50 and GLM 5.1 is $3.50 per million tokens, so Olmo 3 32B Think is cheaper on this metric.

Which has a larger context window, Olmo 3 32B Think or GLM 5.1?+

GLM 5.1 has the larger sourced context window. Olmo 3 32B Think supports 66K and GLM 5.1 supports 203K.

Which performs better in benchmarks, Olmo 3 32B Think or GLM 5.1?+

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

Can Olmo 3 32B Think or GLM 5.1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Olmo 3 32B Think is open weight; GLM 5.1 is open weight.

Can Olmo 3 32B Think and GLM 5.1 understand images?+

Olmo 3 32B Think is not documented with image input; GLM 5.1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3 32B Think or GLM 5.1?+

Neither has a larger sourced maximum output. Olmo 3 32B Think is 33K and GLM 5.1 is —.

Do Olmo 3 32B Think and GLM 5.1 support reasoning and tool use?+

Olmo 3 32B Think: reasoning. GLM 5.1: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo 3 32B Think or GLM 5.1?+

Olmo 3 32B Think has 1 sourced provider route; GLM 5.1 has 4, so GLM 5.1 has broader tracked availability.

Which offers better value, Olmo 3 32B Think or GLM 5.1?+

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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