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GLM-5.3 vs Llama 3.3 70B Instruct

Comparing GLM-5.3 and Llama 3.3 70B Instruct across benchmarks, pricing, and capabilities.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-5.3 and Llama 3.3 70B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Llama 3.3 70B Instruct is roughly 10.7x 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 3.3 70B Instruct

  • cost matters — it's about 10.7x 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
$0.20 / M
Output price
$4.40 / M
$0.20 / M
Context window
1,000,000
128,000
Released
Aug 2026
Dec 2024
License
Unknown
Llama 3.3 Community License Agreement

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Llama 3.3 70B 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 3.3 70B Instruct costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 7.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 22.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, GLM-5.3 is more expensive than Llama 3.3 70B Instruct.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

683.0B diff

GLM-5.3 has 683.0B more parameters than Llama 3.3 70B Instruct, making it 975.7% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
753.0B
GLM-5.3
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Llama 3.3 70B Instruct was released on 2024-12-06.

GLM-5.3 is 21 months newer than Llama 3.3 70B Instruct.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.7yr newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.7 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 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

GLM-5.3

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

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* 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 3.3 70B Instruct side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about GLM-5.3 vs Llama 3.3 70B Instruct.

Which is better, GLM-5.3 or Llama 3.3 70B Instruct?

GLM-5.3 (Zhipu AI) and Llama 3.3 70B 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 3.3 70B 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 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is GLM-5.3 cheaper than Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is 7.0x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for GLM-5.3 and Llama 3.3 70B Instruct?

GLM-5.3 supports 1.0M tokens and Llama 3.3 70B Instruct supports 128K 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 3.3 70B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($1.40 vs $0.20/M), licensing (Unknown vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Llama 3.3 70B Instruct?

GLM-5.3 is developed by Zhipu AI and Llama 3.3 70B Instruct is developed by Meta.