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GLM-5.3 vs Llama 4 Maverick

Comparing GLM-5.3 and Llama 4 Maverick across benchmarks, pricing, and capabilities.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-5.3 and Llama 4 Maverick trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Llama 4 Maverick is roughly 7.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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 Llama 4 Maverick

  • cost matters — it's about 7.7x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$1.40 / M
$0.17 / M
Output price
$4.40 / M
$0.60 / M
Context window
1,000,000
1,000,000
Released
Aug 2026
Apr 2025
License
Unknown
Llama 4 Community License Agreement

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Llama 4 Maverickdon'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

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 8.2x more expensive than Llama 4 Maverick ($0.17/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 7.3x more expensive than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, GLM-5.3 is more expensive than Llama 4 Maverick.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

353.0B diff

GLM-5.3 has 353.0B more parameters than Llama 4 Maverick, making it 88.3% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
753.0B
GLM-5.3
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while GLM-5.3 is limited to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas GLM-5.3 does not.

Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Llama 4 Maverick was released on 2025-04-05.

GLM-5.3 is 17 months newer than Llama 4 Maverick.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.4yr newer
Llama 4 Maverick

Apr 5, 2025

1.4 years 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

Provider Availability

GLM-5.3 is available from ZAI. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Llama 4 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GLM-5.3 and Llama 4 Maverick side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

Common questions about GLM-5.3 vs Llama 4 Maverick.

Which is better, GLM-5.3 or Llama 4 Maverick?

GLM-5.3 (Zhipu AI) and Llama 4 Maverick (Meta) 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 Llama 4 Maverick 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%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

Is GLM-5.3 cheaper than Llama 4 Maverick?

Llama 4 Maverick is 8.2x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.

What are the context window sizes for GLM-5.3 and Llama 4 Maverick?

GLM-5.3 supports 1.0M tokens and Llama 4 Maverick supports 1.0M 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 Llama 4 Maverick?

Key differences include input pricing ($1.40 vs $0.17/M), multimodal support (no vs yes), licensing (Unknown vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Llama 4 Maverick?

GLM-5.3 is developed by Zhipu AI and Llama 4 Maverick is developed by Meta.