Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of Z.ai: GLM 4.5V, Tripo3D Segment, Reflection: Beam 1.0 501B A23B
3 modelsz-aiZ.ai: GLM 4.5VRemove ×tripo3dTripo3D SegmentRemove ×reflectionReflection: Beam 1.0 501B A23BRemove ×
What’s differentGLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves…Automatically splits a 3D model into semantic parts for editing, texturing, and rigging.Apache-2.0 text model with 501B total and 23B active parameters; ships BF16, FP8 and NVFP4 weights.
DateAug 10, 2025ListedAug 6, 2026ListedOct 16, 2026Released
Listed rate$0.60 in / $1.80 out/ 1M tokensnovita · via Hugging Face · all routes ↗See provider quotes$0.25 in / $1.00 out/ 1M tokensNebius · via OpenRouter · all routes ↗nebius/fp8 · quantization=fp8
Provider endpoints5 endpoints →0 endpoints →6 endpoints →
AA Intelligence ↗4.3.2Not reportedNot reported30.33 ↗Effort not specifiedIndependent result
AA-Briefcase ↗1.1Not reportedNot reported976.2 ↗Effort not specifiedIndependent result
GDPval-AA ↗2.1Not reportedNot reported1,177.08 ↗Effort not specifiedIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reportedNot reported48.46% ↗Effort not specifiedIndependent result
Terminal-Bench 4.0 · AA ↗Not reportedNot reported3.03% ↗Effort not specifiedHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reportedNot reported48.5% ↗AA · Under reviewEffort not specifiedIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reportedNot reported34.66% ↗Effort not specifiedIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reportedNot reported11.6% ↗Effort not specifiedIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reportedNot reported13.14% ↗AA · Under reviewEffort not specifiedIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reportedNot reported1.5 ↗Effort not specifiedIndependent result
AA-LCR ↗1.1Not reportedNot reported78% ↗Effort not specifiedIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported55.5% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported67.9% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported72.8% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported0% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported83.9% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported17.3% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported66.4% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported80.2% ↗Effort: max · single runIndependent result
Context window65.5K—1M
Max output16.4K—943.7K
Parameters——501B
Tool callingSupportedNot reportedSupported
Structured outputSupportedNot reportedSupported
Image inputSupportedNot reportedNot reported
ReasoningSupportedNot reportedSupported
Prompt cachingSupportedNot reportedSupported
Open weightsSupportedNot reportedSupported

Add another model

Search all models →