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Grok 4.20 vs Llama 3.3 70B Instruct

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 3.3 70B Instruct.

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 3.3 70B Instruct

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

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Technical Specifications

SpecificationGrok 4.20Llama 3.3 70B Instruct
ProviderxAIMeta
Context Window2,000,000 tokens131,072 tokens
Agent Suitability90/10083/100
Time to First Token (TTFT)350 ms280 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-052024-12-06

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20

$1.25

Llama 3.3 70B Instruct

$0.10

Output Price per Million Tokens

Grok 4.20

$2.50

Llama 3.3 70B Instruct

$0.32

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%vs8620.0%
Grok 4.20
Llama 3.3 70B Instruct
HumanEvalPython coding & logic synthesis
9700.0%vs8800.0%
Grok 4.20
Llama 3.3 70B Instruct
MATHComplex mathematical problem solving
9380.0%vs7500.0%
Grok 4.20
Llama 3.3 70B Instruct
GPQAGraduate-level expert reasoning
8490.0%vs5200.0%
Grok 4.20
Llama 3.3 70B Instruct
HellaSwagCommonsense reasoning and inference
9880.0%vs8850.0%
Grok 4.20
Llama 3.3 70B Instruct
MT-BenchMulti-turn conversation flow quality
970.0%vs880.0%
Grok 4.20
Llama 3.3 70B Instruct

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 3.3 70B Instruct Quirks & Gotchas

  • โ–ธStable, well-documented self-hosted option with strong community support
  • โ–ธOutperformed by Llama 4 Maverick for agentic tool-calling workflows