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Grok 4.20 vs Llama 3.1 405B

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 Grok 4.20 and Llama 3.1 405B.

xAI

Grok 4.20

Grok 4.20 is xAI's most advanced reasoning model, combining powerful analytical capabilities with unique real-time integration to the X (formerly Twitter) platform data stream. This live data access allows Grok 4.20 to answer queries with up-to-the-minute context, making it invaluable for financial analysis, current events research, and real-time market monitoring. Exceptionally strong in physics, advanced mathematics, and code synthesis, it operates with a 2-million-token context window and is priced at $1.25/MTok for input โ€” delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.

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Meta

Llama 3.1 405B

Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.

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Technical Specifications

SpecificationGrok 4.20Llama 3.1 405B
ProviderxAIMeta
Context Window2,000,000 tokens131,072 tokens
Agent Suitability90/10090/100
Time to First Token (TTFT)350 ms550 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-052024-07-23

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20

$1.25

Llama 3.1 405B

$0.80

Output Price per Million Tokens

Grok 4.20

$2.50

Llama 3.1 405B

$0.80

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
9470.0%vsN/A
Grok 4.20
Llama 3.1 405B
HumanEvalPython coding & logic synthesis
9700.0%vsN/A
Grok 4.20
Llama 3.1 405B
MATHComplex mathematical problem solving
9380.0%vsN/A
Grok 4.20
Llama 3.1 405B
GPQAGraduate-level expert reasoning
8490.0%vsN/A
Grok 4.20
Llama 3.1 405B
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Grok 4.20
Llama 3.1 405B
MT-BenchMulti-turn conversation flow quality
970.0%vsN/A
Grok 4.20
Llama 3.1 405B

Grok 4.20 Quirks & Gotchas

  • โ–ธReal-time X data access โ€” unparalleled for current events / financial analysis
  • โ–ธTool calling API is still maturing โ€” test thoroughly for production agentic use

Llama 3.1 405B Quirks & Gotchas

  • โ–ธMassive model โ€” requires 8ร— A100 80GB for FP16 inference
  • โ–ธAvailable via Together AI, Fireworks, and Bedrock as managed API