The AI arena is free today

Open Superagent

GLM-5.3 vs Mistral Large 3 (675B Instruct 2512 Eagle)

Comparing GLM-5.3 and Mistral Large 3 (675B Instruct 2512 Eagle) across benchmarks, pricing, and capabilities.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-5.3 and Mistral Large 3 (675B Instruct 2512 Eagle) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you want the most recent training data — it shipped Aug 2026

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

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

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Dec 2025
License
Unknown
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Mistral Large 3 (675B Instruct 2512 Eagle)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

78.0B diff

GLM-5.3 has 78.0B more parameters than Mistral Large 3 (675B Instruct 2512 Eagle), making it 11.6% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
753.0B
GLM-5.3
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 Eagle) supports multimodal inputs, whereas GLM-5.3 does not.

Mistral Large 3 (675B Instruct 2512 Eagle) can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.

GLM-5.3 is 8 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

GLM-5.3

Aug 14, 2026

1 weeks ago

8mo newer
Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

8 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 Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Mistral Large 3 (675B Instruct 2512 Eagle)
Open in Playground

FAQ

Common questions about GLM-5.3 vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, GLM-5.3 or Mistral Large 3 (675B Instruct 2512 Eagle)?

GLM-5.3 (Zhipu AI) and Mistral Large 3 (675B Instruct 2512 Eagle) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5.3 compare to Mistral Large 3 (675B Instruct 2512 Eagle) 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%. Mistral Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for GLM-5.3 and Mistral Large 3 (675B Instruct 2512 Eagle)?

GLM-5.3 supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 Eagle) 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 Mistral Large 3 (675B Instruct 2512 Eagle)?

Key differences include multimodal support (no vs yes), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Mistral Large 3 (675B Instruct 2512 Eagle)?

GLM-5.3 is developed by Zhipu AI and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

Related comparisons