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Grok 4.20 vs R1 Distill Llama 70B

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 R1 Distill Llama 70B.

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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DeepSeek

R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...

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Technical Specifications

SpecificationGrok 4.20R1 Distill Llama 70B
ProviderxAIDeepSeek
Context Window2,000,000 tokens128,000 tokens
Agent Suitability90/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-052025-01-23

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20

$1.25

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

Grok 4.20

$2.50

R1 Distill Llama 70B

$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%vs8520.0%
Grok 4.20
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
9700.0%vs8830.0%
Grok 4.20
R1 Distill Llama 70B
MATHComplex mathematical problem solving
9380.0%vs7000.0%
Grok 4.20
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
8490.0%vs4450.0%
Grok 4.20
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
9880.0%vs8600.0%
Grok 4.20
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
970.0%vs905.0%
Grok 4.20
R1 Distill Llama 70B

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

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.