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Codex Mini vs Llama 4 Maverick

Compare OpenAI and Meta (via Together AI) AI models

OpenAI
Codex Mini
vs
Meta (via Together AI)
Llama 4 Maverick

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 4 Maverick

Per Request:$0.000695
Daily:$0.0695
Monthly:$2.085
Yearly:$25.3675

Cost Differences

$0.003805
Per Request
$0.3805
Daily
$11.415
Monthly
$138.8825
Yearly

Llama 4 Maverick costs less than Codex Mini

Feature Comparison

FeatureCodex MiniLlama 4 Maverick
ProviderOpenAIMeta (via Together AI)
Input Price$1.50/1M tokens$0.27/1M tokens
Output Price$6.00/1M tokens$0.85/1M tokens
Context Window200,000 tokens1,000,000 tokens
Max Output32,768 tokens65,536 tokens
Categoryefficientflagship
Capabilities
textcodereasoning
textvisioncode
Release Date2/2/20264/5/2025

Codex Mini vs Llama 4 Maverick: Which Should You Choose?

Choosing between Codex Mini and Llama 4 Maverick depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Maverick is the more affordable option at $0.27/1M input tokens82% cheaper than Codex Mini. Meanwhile, Llama 4 Maverick offers a significantly larger context window at 1,000,000 tokens vs 200,000 for Codex Mini.

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 4 Maverick is flagship. This means they're optimized for different workloads. Llama 4 Maverick 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 $0.85 for Llama 4 Maverick. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Maverick has the edge here at $0.85/1M output tokens.

Multimodal capabilities: Llama 4 Maverick supports vision (image inputs) while Codex Mini is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Codex Mini when:

  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Llama 4 Maverick when:

  • • Budget is a primary concern
  • • You need a larger context window (1,000,000 tokens)
  • • You need longer outputs (up to 65,536 tokens)
  • • 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)

Llama 4 Maverick (Meta (via Together AI))

Start using Codex Mini today

Sign Up for OpenAI

Start using Llama 4 Maverick today

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Frequently Asked Questions

Which is cheaper, Codex Mini or Llama 4 Maverick?
Llama 4 Maverick is cheaper for input tokens at $0.27 per million tokens vs $1.50 for Codex Mini — that's 82% savings on input costs.
What is the context window difference between Codex Mini and Llama 4 Maverick?
Codex Mini supports 200,000 tokens while Llama 4 Maverick supports 1,000,000 tokens — a difference of 800,000 tokens in favor of Llama 4 Maverick.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 4 Maverick is the lower-cost option, while Llama 4 Maverick offers a larger context window (1,000,000 vs 200,000 tokens). Choose Llama 4 Maverick for budget sensitivity or Llama 4 Maverick 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 4 Maverick costs about $2.085/month. Overall, Llama 4 Maverick has lower combined input + output rates ($0.27 in, $0.85 out) vs Codex Mini.

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