Codex Mini vs Llama 3.3 70B

Compare OpenAI and Meta (via Together AI) AI models

OpenAI

Codex Mini

Meta (via Together AI)

Llama 3.3 70B

Try OpenAI →Try Meta (via Together AI) →

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

Codex Mini

Per Request:$0.004500

Daily:$0.45

Monthly:$13.50

Yearly:$164.25

Llama 3.3 70B

Per Request:$0.001320

Daily:$0.132

Monthly:$3.96

Yearly:$48.18

Cost Differences

$0.003180

Per Request

$0.318

Daily

$9.54

Monthly

$116.07

Yearly

Llama 3.3 70B costs less than Codex Mini

Feature Comparison

Feature	Codex Mini	Llama 3.3 70B
Provider	OpenAI	Meta (via Together AI)
Input Price	$1.50/1M tokens	$0.88/1M tokens
Output Price	$6.00/1M tokens	$0.88/1M tokens
Context Window	200,000 tokens	131,072 tokens
Max Output	32,768 tokens	4,096 tokens
Category	efficient	standard
Capabilities	textcodereasoning	textcode
Release Date	2/2/2026	12/6/2024

Codex Mini vs Llama 3.3 70B: Which Should You Choose?

Choosing between Codex Mini and Llama 3.3 70B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.3 70B is the more affordable option at $0.88/1M input tokens — 41% cheaper than Codex Mini. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 131,072 for Llama 3.3 70B.

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

These models target different tiers: Codex Mini is a efficient model while Llama 3.3 70B is standard. This means they're optimized for different workloads. Llama 3.3 70B targets more demanding workloads, while Codex Mini provides a cost-effective option for everyday tasks.

Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $0.88 for Llama 3.3 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.3 70B has the edge here at $0.88/1M output tokens.

Best Use Cases

Choose Codex Mini when:

• You need a larger context window (200,000 tokens)
• You need more capabilities (reasoning)
• You need longer outputs (up to 32,768 tokens)
• You're already using OpenAI's API ecosystem
• You're running high-volume, latency-sensitive workloads

Choose Llama 3.3 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

Codex Mini (OpenAI)

Cost Calculator

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Model

Input Tokens

Output Tokens

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Llama 3.3 70B (Meta (via Together AI))

Cost Calculator

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Model

Input Tokens

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Frequently Asked Questions

Which is cheaper, Codex Mini or Llama 3.3 70B?▼

Llama 3.3 70B is cheaper for input tokens at $0.88 per million tokens vs $1.50 for Codex Mini — that's 41% savings on input costs.

What is the context window difference between Codex Mini and Llama 3.3 70B?▼

Codex Mini supports 200,000 tokens while Llama 3.3 70B supports 131,072 tokens — a difference of 68,928 tokens in favor of Codex Mini.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Llama 3.3 70B is the lower-cost option, while Codex Mini offers a larger context window (200,000 vs 131,072 tokens). Choose Llama 3.3 70B for budget sensitivity or Codex Mini 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, Codex Mini costs about $13.50/month and Llama 3.3 70B costs about $3.96/month. Overall, Llama 3.3 70B has lower combined input + output rates ($0.88 in, $0.88 out) vs Codex Mini.