The AI arena is free today

Open Superagent

GLM-5.3 vs MiniCPM-SALA

GLM-5.3 leads the LLM Stats Score 54.2 to 12.7.

Zhipu AI · OpenBMB · Updated for 2026

Which is better?

GLM-5.3 leads the overall LLM Stats Score 54.2 to 12.7, ranking #6 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-5.3

  • overall performance matters — it scores 54.2 and ranks #6 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026

Choose MiniCPM-SALA

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
MiniCPM-SALA
OpenBMB
Core performance indexes
LLM Stats Score
54.2
#6
12.7
#230
Reasoning
53.4
#5
14.2
#214
Coding
45.4
#6
21.1
#80
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,048,576
—

Individual benchmarks

16 reported for GLM-5.3 · 24 for MiniCPM-SALA

No common benchmarks found

GLM-5.3 and MiniCPM-SALAdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

743.5B diff

GLM-5.3 has 743.5B more parameters than MiniCPM-SALA, making it 7845.4% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
OpenBMB
MiniCPM-SALA
9.5Bparameters
753.0B
GLM-5.3
9.5B
MiniCPM-SALA

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,048,576 tokens). Only GLM-5.3 specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3
Input1,048,576 tokens
Output131,072 tokens
OpenBMB
MiniCPM-SALA
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while MiniCPM-SALA was released on 2026-02-11.

GLM-5.3 is 6 months newer than MiniCPM-SALA.

GLM-5.3

Aug 14, 2026

2 weeks ago

6mo newer
MiniCPM-SALA

Feb 11, 2026

6 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and MiniCPM-SALA side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
MiniCPM-SALA
Open in Playground

FAQ

Common questions about GLM-5.3 vs MiniCPM-SALA.

Which is better, GLM-5.3 or MiniCPM-SALA?

GLM-5.3 leads the LLM Stats Score 54.2 to 12.7. GLM-5.3 is made by Zhipu AI and MiniCPM-SALA is made by OpenBMB. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3 compare to MiniCPM-SALA in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. MiniCPM-SALA scores HumanEval: 95.1%, RULER 64k: 92.7%, RULER 128k: 89.4%, MBPP: 89.1%, RULER 512K: 87.1%.

What are the context window sizes for GLM-5.3 and MiniCPM-SALA?

GLM-5.3 supports 1.0M tokens and MiniCPM-SALA supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and MiniCPM-SALA?

Key differences include LLM Stats Score (54.2 vs 12.7), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and MiniCPM-SALA?

GLM-5.3 is developed by Zhipu AI and MiniCPM-SALA is developed by OpenBMB.

Related comparisons