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Grok 4 vs Llama 3.1 405B

Compare xAI and Meta (via Together AI) AI models

xAI
Grok 4
vs
Meta (via Together AI)
Llama 3.1 405B

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Grok 4

Per Request:$0.0105
Daily:$1.05
Monthly:$31.50
Yearly:$383.25

Llama 3.1 405B

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Cost Differences

$0.005250
Per Request
$0.525
Daily
$15.75
Monthly
$191.625
Yearly

Llama 3.1 405B costs less than Grok 4

Feature Comparison

FeatureGrok 4Llama 3.1 405B
ProviderxAIMeta (via Together AI)
Input Price$3.00/1M tokens$3.50/1M tokens
Output Price$15.00/1M tokens$3.50/1M tokens
Context Window256,000 tokens128,000 tokens
Max Output131,072 tokens32,768 tokens
Categoryreasoningflagship
Capabilities
textvisionreasoningcode
textcodereasoning
Release Date7/9/20257/23/2024

Grok 4 vs Llama 3.1 405B: Which Should You Choose?

Choosing between Grok 4 and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 405B is the more affordable option at $3.50/1M input tokens. Meanwhile, Grok 4 offers a significantly larger context window at 256,000 tokens vs 128,000 for Llama 3.1 405B.

These models come from different providers — xAI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with xAI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Grok 4 is a reasoning model while Llama 3.1 405B is flagship. This means they're optimized for different workloads. Grok 4 is built for complex tasks that require deeper reasoning, while Llama 3.1 405B offers better value for routine operations.

Output costs matter too. Grok 4 charges $15.00/1M output tokens vs $3.50 for Llama 3.1 405B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 405B has the edge here at $3.50/1M output tokens.

Multimodal capabilities: Grok 4 supports vision (image inputs) while Llama 3.1 405B is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Grok 4 when:

  • • Budget is a primary concern
  • • You need a larger context window (256,000 tokens)
  • • You need more capabilities (vision)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using xAI's API ecosystem

Choose Llama 3.1 405B when:

  • • You're already using Meta (via Together AI)'s API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Grok 4 (xAI)

Llama 3.1 405B (Meta (via Together AI))

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Start using Llama 3.1 405B today

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Frequently Asked Questions

Which is cheaper, Grok 4 or Llama 3.1 405B?
Llama 3.1 405B is cheaper for input tokens at $3.50 per million tokens vs $3.00 for Grok 4.
What is the context window difference between Grok 4 and Llama 3.1 405B?
Grok 4 supports 256,000 tokens while Llama 3.1 405B supports 128,000 tokens — a difference of 128,000 tokens in favor of Grok 4.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Llama 3.1 405B is the lower-cost option, while Grok 4 offers a larger context window (256,000 vs 128,000 tokens). Choose Llama 3.1 405B for budget sensitivity or Grok 4 for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Grok 4 costs about $31.50/month and Llama 3.1 405B costs about $15.75/month. Overall, Llama 3.1 405B has lower combined input + output rates ($3.50 in, $3.50 out) vs Grok 4.

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