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Llama 4 Maverick vs GLM 5.3 FlashX

Detailed technical comparison between Llama 4 Maverick (Meta) and GLM 5.3 FlashX (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Llama 4 Maverick: 6 WinsvsGLM 5.3 FlashX: 0 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 4 Maverick

$0.20 / MTok
Metaactive

Llama 4 Maverick

Llama 4 Maverick is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 4 Maverick represents a key architectural iteration in the Meta model family. First released in 2026-05-25, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Llama 4 Maverick processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Llama 4 Maverick Full Specs →
Zhipu AIactive

GLM 5.3 FlashX

GLM 5.3 FlashX is an advanced artificial intelligence model engineered by Zhipu AI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GLM 5.3 FlashX represents a key architectural iteration in the Zhipu AI model family. First released in 2026-09-18, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), GLM 5.3 FlashX processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GLM 5.3 FlashX Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLlama 4 MaverickGLM 5.3 FlashX
ProviderMetaZhipu AI
Context Window1,048,576 tokens1,048,576 tokens
Agent Suitability89/100 (est.)Not yet benchmarked
Time to First Token (TTFT)300 ms (est.)No public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-05-252026-09-18

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Maverick

$0.20

GLM 5.3 FlashX

$0.37

Output Price per Million Tokens

Llama 4 Maverick

$0.80

GLM 5.3 FlashX

$1.25

💡 Cost Ratio: Llama 4 Maverick is 1.8x cheaper per input token than GLM 5.3 FlashX.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
91.5%vs75.6%+15.9% Llama 4 Maverick
Llama 4 Maverick 🏆
GLM 5.3 FlashX
HumanEvalPython coding & logic synthesis
93.8%vs68.4%+25.4% Llama 4 Maverick
Llama 4 Maverick 🏆
GLM 5.3 FlashX
MATHComplex mathematical problem solving
89.2%vs41.6%+47.6% Llama 4 Maverick
Llama 4 Maverick 🏆
GLM 5.3 FlashX
GPQAGraduate-level expert reasoning
76.4%vs29.0%+47.4% Llama 4 Maverick
Llama 4 Maverick 🏆
GLM 5.3 FlashX
HellaSwagCommonsense reasoning and inference
97.2%vs76.2%+21.0% Llama 4 Maverick
Llama 4 Maverick 🏆
GLM 5.3 FlashX
MT-BenchMulti-turn conversation flow quality
9.4%vs7.9%+1.5% Llama 4 Maverick
Llama 4 Maverick 🏆
GLM 5.3 FlashX

Llama 4 Maverick Quirks & Gotchas

  • Self-hostable via Ollama/Docker — ideal for on-premise deployments
  • Requires specific system prompt for optimal function calling reliability

GLM 5.3 FlashX Quirks & Gotchas

No developer gotchas reported.

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