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GPT-4.1 mini vs Llama 3.3 70B

GPT-4.1 mini vs Llama 3.3 70B: GPT-4.1 mini is cheaper for input-heavy usage ($0.40/M vs $0.88/M input tokens), while GPT-4.1 mini is better for long-context tasks (200,000 tokens).

Direct answer: choose GPT-4.1 mini for lower token spend and choose GPT-4.1 mini when your workload needs longer context.

Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.

OpenAI
GPT-4.1 mini
vs
Meta (via Together AI)
Llama 3.3 70B

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

GPT-4.1 mini

Per Request:$0.001200
Daily:$0.12
Monthly:$3.60
Yearly:$43.80

Llama 3.3 70B

Per Request:$0.001320
Daily:$0.132
Monthly:$3.96
Yearly:$48.18

Cost Differences

+$0.000120
Per Request
+$0.012
Daily
+$0.36
Monthly
+$4.38
Yearly

Llama 3.3 70B costs more than GPT-4.1 mini

Feature Comparison

FeatureGPT-4.1 miniLlama 3.3 70B
ProviderOpenAIMeta (via Together AI)
Input Price$0.40/1M tokens$0.88/1M tokens
Output Price$1.60/1M tokens$0.88/1M tokens
Context Window200,000 tokens131,072 tokens
Max Output16,384 tokens4,096 tokens
Categoryefficientstandard
Capabilities
textvisioncode
textcode
Release Date4/14/202512/6/2024

GPT-4.1 mini vs Llama 3.3 70B: Which Should You Choose?

Choosing between GPT-4.1 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. Meanwhile, GPT-4.1 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: GPT-4.1 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 GPT-4.1 mini provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-4.1 mini charges $1.60/1M 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.

Multimodal capabilities: GPT-4.1 mini supports vision (image inputs) while Llama 3.3 70B is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose GPT-4.1 mini when:

  • • Budget is a primary concern
  • • You need a larger context window (200,000 tokens)
  • • You need more capabilities (vision)
  • • You need longer outputs (up to 16,384 tokens)
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Llama 3.3 70B when:

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

Pros and Caveats at a Glance

GPT-4.1 mini

  • Input pricing: $0.40/M tokens
  • Output pricing: $1.60/M tokens
  • Context window: 200,000 tokens
  • Max output: 16,384 tokens

Watch out for

  • Higher output cost than Llama 3.3 70B

Llama 3.3 70B

  • Input pricing: $0.88/M tokens
  • Output pricing: $0.88/M tokens
  • Context window: 131,072 tokens
  • Max output: 4,096 tokens

Watch out for

  • Higher input cost than GPT-4.1 mini
  • Smaller context window than GPT-4.1 mini

Try Different Scenarios

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

GPT-4.1 mini (OpenAI)

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

Start using GPT-4.1 mini today

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Start using Llama 3.3 70B today

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Frequently Asked Questions

Which is cheaper, GPT-4.1 mini or Llama 3.3 70B?
Llama 3.3 70B is cheaper for input tokens at $0.88 per million tokens vs $0.40 for GPT-4.1 mini.
What is the context window difference between GPT-4.1 mini and Llama 3.3 70B?
GPT-4.1 mini supports 200,000 tokens while Llama 3.3 70B supports 131,072 tokens — a difference of 68,928 tokens in favor of GPT-4.1 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 GPT-4.1 mini offers a larger context window (200,000 vs 131,072 tokens). Choose Llama 3.3 70B for budget sensitivity or GPT-4.1 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, GPT-4.1 mini costs about $3.60/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 GPT-4.1 mini.
Where can I compare OpenAI and Meta (via Together AI) API pricing beyond this model matchup?
See the OpenAI vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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