Inference Labs › Compare models › Llama 3.3 70B vs GPT-4o mini

Llama 3.3 70B vs GPT-4o mini

Side-by-side comparison of Llama 3.3 70B and GPT-4o mini: per-token pricing, context windows, strengths, and which to pick for production workloads.

Llama 3.3 70B

Meta (via Bedrock / Together / Groq) · 128K context
$0.72 / 1M input
$0.72 / 1M output

Strengths

  • Symmetric pricing makes long outputs cheap.
  • Open weights -- can be self-hosted or fine-tuned at will.

Trade-offs

  • Quality below frontier closed models for hard reasoning.
  • Tool-use behavior varies by provider.

GPT-4o mini

OpenAI · 128K context
$0.15 / 1M input
$0.60 / 1M output

Strengths

  • Cheapest legacy OpenAI model still widely supported.
  • Fast latency suitable for autocomplete and classification.

Trade-offs

  • Generation quality lags 2026 frontier.
  • Smaller context window than 2026 peers.

Side-by-side pricing

MetricLlama 3.3 70BGPT-4o mini
Input price ($/1M tokens)$0.72$0.15
Output price ($/1M tokens)$0.72$0.60
Context window128K tokens128K tokens
Cost for 1M in + 1M out$1.44$0.75
Tiercheapcheap

Which should you pick?

GPT-4o mini is cheaper per 1M input tokens; GPT-4o mini is cheaper on output. For high-output workloads (long generation, structured extraction), the output rate dominates.

In practice, the right answer depends on your traffic mix. Inference Labs lets you route the same request to whichever of these two is best for that prompt -- using policy you define (quality-first, cost-first, latency-first) without changing your application code.

Route between them automatically

Inference Labs is a vendor-neutral router that sits in front of Llama 3.3 70B, GPT-4o mini, and the other major cloud LLMs. Set per-request policy (max cost, max latency, required quality tier) and the router picks the best model per call. You keep your existing provider accounts -- we just orchestrate.

Stop hard-coding model names. Start a free Inference Labs trial → -- 500 credits, no card required, see your routing decisions in the dashboard within minutes.

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