Grok 4 vs Llama 3.1 70B

Compare xAI and Meta (via Together AI) AI models

xAI

Grok 4

Meta (via Together AI)

Llama 3.1 70B

Try xAI →Try Meta (via Together AI) →

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 70B

Per Request:$0.001320

Daily:$0.132

Monthly:$3.96

Yearly:$48.18

Cost Differences

$0.009180

Per Request

$0.918

Daily

$27.54

Monthly

$335.07

Yearly

Llama 3.1 70B costs less than Grok 4

Feature Comparison

Feature	Grok 4	Llama 3.1 70B
Provider	xAI	Meta (via Together AI)
Input Price	$3.00/1M tokens	$0.88/1M tokens
Output Price	$15.00/1M tokens	$0.88/1M tokens
Context Window	256,000 tokens	128,000 tokens
Max Output	131,072 tokens	32,768 tokens
Category	reasoning	balanced
Capabilities	textvisionreasoningcode	textcode
Release Date	7/9/2025	7/23/2024

Grok 4 vs Llama 3.1 70B: Which Should You Choose?

Choosing between Grok 4 and Llama 3.1 70B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 70B is the more affordable option at $0.88/1M input tokens — 71% cheaper than Grok 4. Meanwhile, Grok 4 offers a significantly larger context window at 256,000 tokens vs 128,000 for Llama 3.1 70B.

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 70B is balanced. This means they're optimized for different workloads. Grok 4 is built for complex tasks that require deeper reasoning, while Llama 3.1 70B offers better value for routine operations.

Output costs matter too. Grok 4 charges $15.00/1M output tokens vs $0.88 for Llama 3.1 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 70B has the edge here at $0.88/1M output tokens.

Multimodal capabilities: Grok 4 supports vision (image inputs) while Llama 3.1 70B is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Grok 4 when:

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

Choose Llama 3.1 70B when:

• Budget is a primary concern
• 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)

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Llama 3.1 70B (Meta (via Together AI))

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Frequently Asked Questions

Which is cheaper, Grok 4 or Llama 3.1 70B?▼

Llama 3.1 70B is cheaper for input tokens at $0.88 per million tokens vs $3.00 for Grok 4 — that's 71% savings on input costs.

What is the context window difference between Grok 4 and Llama 3.1 70B?▼

Grok 4 supports 256,000 tokens while Llama 3.1 70B supports 128,000 tokens — a difference of 128,000 tokens in favor of Grok 4.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Llama 3.1 70B is the lower-cost option, while Grok 4 offers a larger context window (256,000 vs 128,000 tokens). Choose Llama 3.1 70B 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 70B costs about $3.96/month. Overall, Llama 3.1 70B has lower combined input + output rates ($0.88 in, $0.88 out) vs Grok 4.