NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs GLM 5

At a Glance

Compare
GLM 5Z.ai
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#30 of 5737.8 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 12.6–79.3UnrankedNot in the 57-model eligible cohort
CostLower is better · Published-token output estimate#14 of 27$0.092 per LiveBench caseUnrankedNot in the 27-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.9#24 of 2737.1 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 24.5–57.8UnrankedNot in the 27-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.50Openrouter ↗ · Aug 29, 2026$0.60Deepinfra ↗ · Sep 3, 2026
Output priceFrom · USD / 1M tokens$2.20Openrouter ↗ · Aug 29, 2026$1.92Openrouter ↗ · Aug 28, 2026
Context windowMaximum documented tokens262K203K
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 →
BenchmarkNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16GLM-5
ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified66.6687% of row best · points · Nemotron 3 Ultra 550B (high) · 2,705 output tokens / case76.68100% of row best · points · GLM-5 (thinking on) · 32,056 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner0 benchmark winsNo 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

FieldNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16GLM-5
DeveloperNVIDIAZ.ai
FamilyNvidia Nemotron 3 Ultra 550b A55b Bf16Glm 5
ModelNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16GLM-5
VersionNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16GLM-5
Lifecycleactiveactive
Released2026-06-04Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window262K203K
Total parameters560.5B753.9B
Active parameters55BUnknown
Licenseothermit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessFireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDnvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16

GLM 5 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5

Primary Evidence

Sources and Freshness

Questions

NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs GLM 5 FAQs

Is NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GLM 5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Ultra 550B A55B BF16 and GLM 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GLM 5?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $0.50 and GLM 5 is $0.60 per million tokens, so NVIDIA Nemotron 3 Ultra 550B A55B BF16 is cheaper on this metric. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $2.20 and GLM 5 is $1.92 per million tokens, so GLM 5 is cheaper on this metric.

Which has a larger context window, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GLM 5?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 has the larger sourced context window. NVIDIA Nemotron 3 Ultra 550B A55B BF16 supports 262,144 tokens and GLM 5 supports 202,752 tokens.

Which performs better in benchmarks, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GLM 5?+

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

Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GLM 5 be self-hosted?+

Both models have the same sourced self-hosting status: supported. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is open weight; GLM 5 is open weight.

Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 and GLM 5 understand images?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 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, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GLM 5?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do NVIDIA Nemotron 3 Ultra 550B A55B BF16 and GLM 5 support reasoning and tool use?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16: reasoning and tool calling. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or GLM 5?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 has 3 sourced provider routes; GLM 5 has 4, so GLM 5 has broader tracked availability.

Which offers better value, NVIDIA Nemotron 3 Ultra 550B A55B BF16 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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