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GLM 5.1 vs Llama 4 Maverick

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 5.1 and Llama 4 Maverick.

Zhipu AI

GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

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Meta

Llama 4 Maverick

Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.

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Technical Specifications

SpecificationGLM 5.1Llama 4 Maverick
ProviderZhipu AIMeta
Context Window202,752 tokens1,048,576 tokens
Agent SuitabilityN/A89/100
Time to First Token (TTFT)N/A300 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-072026-05-25

API Pricing Comparison

Input Price per Million Tokens

GLM 5.1

$0.97

Llama 4 Maverick

$0.15

Output Price per Million Tokens

GLM 5.1

$3.04

Llama 4 Maverick

$0.60

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8800.0%vs9150.0%
GLM 5.1
Llama 4 Maverick
HumanEvalPython coding & logic synthesis
8950.0%vs9380.0%
GLM 5.1
Llama 4 Maverick
MATHComplex mathematical problem solving
7700.0%vs8920.0%
GLM 5.1
Llama 4 Maverick
GPQAGraduate-level expert reasoning
5100.0%vs7640.0%
GLM 5.1
Llama 4 Maverick
HellaSwagCommonsense reasoning and inference
8850.0%vs9720.0%
GLM 5.1
Llama 4 Maverick
MT-BenchMulti-turn conversation flow quality
920.0%vs940.0%
GLM 5.1
Llama 4 Maverick

GLM 5.1 Quirks & Gotchas

No developer gotchas reported.

Llama 4 Maverick Quirks & Gotchas

  • โ–ธSelf-hostable via Ollama/Docker โ€” ideal for on-premise deployments
  • โ–ธRequires specific system prompt for optimal function calling reliability