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GLM-5.3 vs Llama 3.1 8B Instruct

Comparing GLM-5.3 and Llama 3.1 8B Instruct across benchmarks, pricing, and capabilities.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-5.3 and Llama 3.1 8B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Llama 3.1 8B Instruct is roughly 71.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Llama 3.1 8B Instruct

  • cost matters — it's about 71.7x 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
$0.03 / M
Output price
$4.40 / M
$0.03 / M
Context window
1,000,000
131,072
Released
Aug 2026
Jul 2024
License
Unknown
Llama 3.1 Community License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Llama 3.1 8B Instructdon'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 3.1 8B Instruct costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 46.7x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 146.7x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

In conclusion, GLM-5.3 is more expensive than Llama 3.1 8B Instruct.*

* 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 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

745.0B diff

GLM-5.3 has 745.0B more parameters than Llama 3.1 8B Instruct, making it 9312.5% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Meta
Llama 3.1 8B Instruct
8.0Bparameters
753.0B
GLM-5.3
8.0B
Llama 3.1 8B Instruct

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Llama 3.1 8B Instruct's 131,072 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 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 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Llama 3.1 8B Instruct was released on 2024-07-23.

GLM-5.3 is 25 months newer than Llama 3.1 8B Instruct.

GLM-5.3

Aug 14, 2026

1 weeks ago

2.1yr newer
Llama 3.1 8B Instruct

Jul 23, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while GLM-5.3's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without GLM-5.3's cutoff date.

GLM-5.3

Llama 3.1 8B Instruct

Dec 2023

Provider Availability

GLM-5.3 is available from ZAI. Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.

GLM-5.3

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

Llama 3.1 8B Instruct

lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M
* 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 3.1 8B Instruct side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Llama 3.1 8B Instruct
Open in Playground

FAQ

Common questions about GLM-5.3 vs Llama 3.1 8B Instruct.

Which is better, GLM-5.3 or Llama 3.1 8B Instruct?

GLM-5.3 (Zhipu AI) and Llama 3.1 8B Instruct (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 3.1 8B Instruct 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 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%.

Is GLM-5.3 cheaper than Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is 46.7x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda.

What are the context window sizes for GLM-5.3 and Llama 3.1 8B Instruct?

GLM-5.3 supports 1.0M tokens and Llama 3.1 8B Instruct supports 131K 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 3.1 8B Instruct?

Key differences include context window (1.0M vs 131K), input pricing ($1.40 vs $0.03/M), licensing (Unknown vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Llama 3.1 8B Instruct?

GLM-5.3 is developed by Zhipu AI and Llama 3.1 8B Instruct is developed by Meta.