Compare the listed model data for GLM-5 by Zhipu AI and ERNIE 4.5 300B-A47B by Baidu. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
GLM-5: 128K tokens; ERNIE 4.5 300B-A47B: 128K tokens. The listed context-window values are equal. GLM-5 is listed for coding, reasoning, agentic workflows, long-context tasks; ERNIE 4.5 300B-A47B is listed for coding, long-context tasks. Shared catalog benchmark entries: MMLU: GLM-5 88.0%; ERNIE 4.5 300B-A47B 78.3%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The listed context windows are 128K tokens and 128K tokens; the larger is 1× the smaller.
On shared numeric benchmark entries, MMLU: GLM-5 − ERNIE 4.5 300B-A47B = +9.7 percentage points (88.0% vs 78.3%).
A release-date gap cannot be calculated from the catalog values (GLM-5: 2025; ERNIE 4.5 300B-A47B: 2025).
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose GLM-5 if…
Choose GLM-5 when your task aligns with catalog-listed uses or strengths such as Chinese enterprise AI requiring GLM-5 quality, Zhipu AI's flagship GLM-5 model, Best bilingual Chinese-English in GLM family, Apache 2.0.
Choose ERNIE 4.5 300B-A47B if…
Choose ERNIE 4.5 300B-A47B when your task aligns with catalog-listed uses or strengths such as Enterprises serving Chinese domestic market, Chinese government and enterprise AI, Chinese-language healthcare, legal, and financial document analysis, China's most capable open-weight model for Chinese-language tasks.
Catalog specifications for GLM-5 and ERNIE 4.5 300B-A47B
Specification
GLM-5
ERNIE 4.5 300B-A47B
Provider
Zhipu AI
Baidu
Parameters
Not publicly disclosed
300B total (47B active via MoE)
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Apache 2.0 — free
ERNIE Model License — free for research; commercial terms apply
Listed input/output cost per 1M tokens
input $0.1, output $0.2 per 1M tokens
Separate numeric input/output rates not listed
License
Apache 2.0
ERNIE Model License
Coding support
Listed
Listed
Reasoning support
Listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
88.0%
78.3%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between GLM-5 and ERNIE 4.5 300B-A47B?
GLM-5: 128K tokens; ERNIE 4.5 300B-A47B: 128K tokens. The listed context-window values are equal. GLM-5 is listed for coding, reasoning, agentic workflows, long-context tasks; ERNIE 4.5 300B-A47B is listed for coding, long-context tasks. Shared catalog benchmark entries: MMLU: GLM-5 88.0%; ERNIE 4.5 300B-A47B 78.3%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for GLM-5 and ERNIE 4.5 300B-A47B?
MMLU: GLM-5 88.0%; ERNIE 4.5 300B-A47B 78.3%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
GLM-5: 128K tokens; ERNIE 4.5 300B-A47B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for GLM-5 and ERNIE 4.5 300B-A47B?
GLM-5: input $0.1, output $0.2 per 1M tokens (Apache 2.0 — free). ERNIE 4.5 300B-A47B: Separate numeric input/output rates not listed (ERNIE Model License — free for research; commercial terms apply). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for GLM-5 and ERNIE 4.5 300B-A47B?
The catalog lists GLM-5 as 2025 and ERNIE 4.5 300B-A47B as 2025; a release-date gap cannot be calculated from both records.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between GLM-5 and ERNIE 4.5 300B-A47B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.