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Grok 4.1 Fast vs Llama 3.1 405B

Compare xAI and Meta (via Together AI) AI models

xAI
Grok 4.1 Fast
vs
Meta (via Together AI)
Llama 3.1 405B

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

Grok 4.1 Fast

Per Request:$0.000450
Daily:$0.045
Monthly:$1.35
Yearly:$16.425

Llama 3.1 405B

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

Cost Differences

+$0.004800
Per Request
+$0.48
Daily
+$14.40
Monthly
+$175.20
Yearly

Llama 3.1 405B costs more than Grok 4.1 Fast

Feature Comparison

FeatureGrok 4.1 FastLlama 3.1 405B
ProviderxAIMeta (via Together AI)
Input Price$0.20/1M tokens$3.50/1M tokens
Output Price$0.50/1M tokens$3.50/1M tokens
Context Window2,000,000 tokens128,000 tokens
Max Output131,072 tokens32,768 tokens
Categoryefficientflagship
Capabilities
textreasoningcode
textcodereasoning
Release Date1/15/20267/23/2024

Grok 4.1 Fast vs Llama 3.1 405B: Which Should You Choose?

Choosing between Grok 4.1 Fast and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Grok 4.1 Fast is the more affordable option at $0.20/1M input tokens94% cheaper than Llama 3.1 405B. Meanwhile, Grok 4.1 Fast offers a significantly larger context window at 2,000,000 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 4.1 Fast is a efficient model while Llama 3.1 405B is flagship. This means they're optimized for different workloads. Llama 3.1 405B targets more demanding workloads, while Grok 4.1 Fast provides a cost-effective option for everyday tasks.

Output costs matter too. Grok 4.1 Fast charges $0.50/1M 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. Grok 4.1 Fast has the edge here at $0.50/1M output tokens.

Best Use Cases

Choose Grok 4.1 Fast when:

  • • Budget is a primary concern
  • • You need a larger context window (2,000,000 tokens)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using xAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

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 4.1 Fast (xAI)

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

Start using Grok 4.1 Fast today

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Start using Llama 3.1 405B today

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Frequently Asked Questions

Which is cheaper, Grok 4.1 Fast or Llama 3.1 405B?
Grok 4.1 Fast is cheaper for input tokens at $0.20 per million tokens vs $3.50 for Llama 3.1 405B — that's 94% savings on input costs.
What is the context window difference between Grok 4.1 Fast and Llama 3.1 405B?
Grok 4.1 Fast supports 2,000,000 tokens while Llama 3.1 405B supports 128,000 tokens — a difference of 1,872,000 tokens in favor of Grok 4.1 Fast.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Grok 4.1 Fast is the lower-cost option, while Grok 4.1 Fast offers a larger context window (2,000,000 vs 128,000 tokens). Choose Grok 4.1 Fast for budget sensitivity or Grok 4.1 Fast 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 4.1 Fast costs about $1.35/month and Llama 3.1 405B costs about $15.75/month. Overall, Grok 4.1 Fast has lower combined input + output rates ($0.20 in, $0.50 out) vs Llama 3.1 405B.

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