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GPT-5.5 vs Llama 3.1 405B

GPT-5.5 vs Llama 3.1 405B: Llama 3.1 405B is cheaper for input-heavy usage ($3.50/M vs $5.00/M input tokens), while GPT-5.5 is better for long-context tasks (1,050,000 tokens).

Direct answer: choose Llama 3.1 405B for lower token spend and choose GPT-5.5 when your workload needs longer context.

Common pricing searches covered on this page: GPT-5.5 vs Llama 3.1 405B • GPT-5.5 vs Llama 3.1 405B pricing • GPT-5.5 vs Llama 3.1 405B API pricing and 5 5 vs 3 1 405b pricing.

OpenAI
GPT-5.5
vs
Meta (via Together AI)
Llama 3.1 405B

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

GPT-5.5

Per Request:$0.02
Daily:$2.00
Monthly:$60.00
Yearly:$730.00

Llama 3.1 405B

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Cost Differences

$0.01475
Per Request
$1.475
Daily
$44.25
Monthly
$538.375
Yearly

Llama 3.1 405B costs less than GPT-5.5

Quick Recommendation

Winner for direct API pricing: Llama 3.1 405B. At the default workload, Llama 3.1 405B saves about $44.25/month ($538.375/year) versus GPT-5.5.

Feature Comparison

FeatureGPT-5.5Llama 3.1 405B
ProviderOpenAIMeta (via Together AI)
Input Price$5.00/1M tokens$3.50/1M tokens
Output Price$30.00/1M tokens$3.50/1M tokens
Context Window1,050,000 tokens128,000 tokens
Max Output128,000 tokens32,768 tokens
Categoryflagshipflagship
Capabilities
textvisioncodereasoning
textcodereasoning
Release Date4/24/20267/23/2024

GPT-5.5 vs Llama 3.1 405B: Which Should You Choose?

Choosing between GPT-5.5 and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 405B is the more affordable option at $3.50/1M input tokens30% cheaper than GPT-5.5. Meanwhile, GPT-5.5 offers a significantly larger context window at 1,050,000 tokens vs 128,000 for Llama 3.1 405B.

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.

Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 3.1 405B would save you roughly $4,425.00/month compared to GPT-5.5. For startups and indie developers, that difference can be significant.

Output costs matter too. GPT-5.5 charges $30.00/1M output tokens vs $3.50 for Llama 3.1 405B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 405B has the edge here at $3.50/1M output tokens.

Multimodal capabilities: GPT-5.5 supports vision (image inputs) while Llama 3.1 405B is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose GPT-5.5 when:

  • • You need a larger context window (1,050,000 tokens)
  • • You need more capabilities (vision)
  • • You need longer outputs (up to 128,000 tokens)
  • • You're already using OpenAI's API ecosystem

Choose Llama 3.1 405B when:

  • • Budget is a primary concern
  • • You're already using Meta (via Together AI)'s API ecosystem

Pros and Caveats at a Glance

GPT-5.5

  • Input pricing: $5.00/M tokens
  • Output pricing: $30.00/M tokens
  • Context window: 1,050,000 tokens
  • Max output: 128,000 tokens

Watch out for

  • Higher input cost than Llama 3.1 405B
  • Higher output cost than Llama 3.1 405B

Llama 3.1 405B

  • Input pricing: $3.50/M tokens
  • Output pricing: $3.50/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Smaller context window than GPT-5.5

Try Different Scenarios

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

GPT-5.5 (OpenAI)

Llama 3.1 405B (Meta (via Together AI))

Start using GPT-5.5 today

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Start using Llama 3.1 405B today

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Frequently Asked Questions

Which is cheaper, GPT-5.5 or Llama 3.1 405B?
Llama 3.1 405B is cheaper for input tokens at $3.50 per million tokens vs $5.00 for GPT-5.5 — that's 30% savings on input costs.
What is the context window difference between GPT-5.5 and Llama 3.1 405B?
GPT-5.5 supports 1,050,000 tokens while Llama 3.1 405B supports 128,000 tokens — a difference of 922,000 tokens in favor of GPT-5.5.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Llama 3.1 405B is the lower-cost option, while GPT-5.5 offers a larger context window (1,050,000 vs 128,000 tokens). Choose Llama 3.1 405B for budget sensitivity or GPT-5.5 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-5.5 costs about $60.00/month and Llama 3.1 405B costs about $15.75/month. Overall, Llama 3.1 405B has lower combined input + output rates ($3.50 in, $3.50 out) vs GPT-5.5.
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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