GPT-5.5 vs Llama 3.1 8B

GPT-5.5 vs Llama 3.1 8B: Llama 3.1 8B is cheaper for input-heavy usage ($0.18/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 8B 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 8B • GPT-5.5 vs Llama 3.1 8B pricing • GPT-5.5 vs Llama 3.1 8B API pricing and 5 5 vs 3 1 8b pricing.

OpenAI

GPT-5.5

Meta (via Together AI)

Llama 3.1 8B

Try OpenAI →Try Meta (via Together AI) →

GPT-5.5 pricing page Llama 3.1 8B pricing page OpenAI provider overview Meta (via Together AI) provider overview

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 8B

Per Request:$0.000270

Daily:$0.027

Monthly:$0.81

Yearly:$9.855

Cost Differences

$0.01973

Per Request

$1.973

Daily

$59.19

Monthly

$720.145

Yearly

Llama 3.1 8B costs less than GPT-5.5

Quick Recommendation

Winner for direct API pricing: Llama 3.1 8B. At the default workload, Llama 3.1 8B saves about $59.19/month ($720.145/year) versus GPT-5.5.

GPT-5.5 full pricing breakdown Llama 3.1 8B full pricing breakdown OpenAI API pricing details Meta (via Together AI) API pricing details OpenAI vs Meta (via Together AI) API pricing Codex Mini vs o4-mini Deep Research Codex Mini vs o3 Deep Research

Feature Comparison

Feature	GPT-5.5	Llama 3.1 8B
Provider	OpenAI	Meta (via Together AI)
Input Price	$5.00/1M tokens	$0.18/1M tokens
Output Price	$30.00/1M tokens	$0.18/1M tokens
Context Window	1,050,000 tokens	128,000 tokens
Max Output	128,000 tokens	32,768 tokens
Category	flagship	efficient
Capabilities	textvisioncodereasoning	textcode
Release Date	4/24/2026	7/23/2024

GPT-5.5 vs Llama 3.1 8B: Which Should You Choose?

Choosing between GPT-5.5 and Llama 3.1 8B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 8B is the more affordable option at $0.18/1M input tokens — 96% 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 8B.

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-5.5 is a flagship model while Llama 3.1 8B is efficient. This means they're optimized for different workloads. GPT-5.5 is built for complex tasks that require deeper reasoning, while Llama 3.1 8B offers better value for routine operations.

Output costs matter too. GPT-5.5 charges $30.00/1M output tokens vs $0.18 for Llama 3.1 8B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 8B has the edge here at $0.18/1M output tokens.

Multimodal capabilities: GPT-5.5 supports vision (image inputs) while Llama 3.1 8B 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, reasoning)
• You need longer outputs (up to 128,000 tokens)
• You're already using OpenAI's API ecosystem

Choose Llama 3.1 8B when:

• Budget is a primary concern
• You're already using Meta (via Together AI)'s API ecosystem
• You're running high-volume, latency-sensitive workloads

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 8B
• Higher output cost than Llama 3.1 8B

Llama 3.1 8B

• Input pricing: $0.18/M tokens
• Output pricing: $0.18/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)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

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Llama 3.1 8B (Meta (via Together AI))

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

Select a provider and model to see costs

Start using GPT-5.5 today

Start using Llama 3.1 8B today

Frequently Asked Questions

Which is cheaper, GPT-5.5 or Llama 3.1 8B?▼

Llama 3.1 8B is cheaper for input tokens at $0.18 per million tokens vs $5.00 for GPT-5.5 — that's 96% savings on input costs.

What is the context window difference between GPT-5.5 and Llama 3.1 8B?▼

GPT-5.5 supports 1,050,000 tokens while Llama 3.1 8B supports 128,000 tokens — a difference of 922,000 tokens in favor of GPT-5.5.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Llama 3.1 8B 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 8B 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 8B costs about $0.81/month. Overall, Llama 3.1 8B has lower combined input + output rates ($0.18 in, $0.18 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.