GPT-5.6 Terra vs Llama 3.1 405B
Pricing verdict: GPT-5.6 Terra vs Llama 3.1 405B: GPT-5.6 Terra is cheaper for input-heavy usage ($2.50/M vs $3.50/M input tokens), while GPT-5.6 Terra is better for long-context tasks (1,050,000 tokens).
Direct answer: choose GPT-5.6 Terra for lower token spend and choose GPT-5.6 Terra when your workload needs longer context.
Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.6 Terra
Llama 3.1 405B
Cost Differences
Llama 3.1 405B costs less than GPT-5.6 Terra
Quick Recommendation
Winner for direct API pricing: Llama 3.1 405B. At the default workload, Llama 3.1 405B saves about $14.25/month ($173.375/year) versus GPT-5.6 Terra.
Feature Comparison
| Feature | GPT-5.6 Terra | Llama 3.1 405B |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $2.50/1M tokens | $3.50/1M tokens |
| Output Price | $15.00/1M tokens | $3.50/1M tokens |
| Context Window | 1,050,000 tokens | 128,000 tokens |
| Max Output | 128,000 tokens | 32,768 tokens |
| Category | balanced | flagship |
| Capabilities | textvisioncodereasoning | textcodereasoning |
| Release Date | 6/26/2026 | 7/23/2024 |
GPT-5.6 Terra vs Llama 3.1 405B: Which Should You Choose?
Choosing between GPT-5.6 Terra and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.6 Terra is the more affordable option at $2.50/1M input tokens — 29% cheaper than Llama 3.1 405B. Meanwhile, GPT-5.6 Terra 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.
These models target different tiers: GPT-5.6 Terra is a balanced model while Llama 3.1 405B is flagship. This means they're optimized for different workloads. Llama 3.1 405B targets more demanding workloads, while GPT-5.6 Terra provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.6 Terra charges $15.00/1M 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-5.6 Terra 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-5.6 Terra when:
- • Budget is a primary concern
- • 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:
- • You're already using Meta (via Together AI)'s API ecosystem
Pros and Caveats at a Glance
GPT-5.6 Terra
- • Input pricing: $2.50/M tokens
- • Output pricing: $15.00/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • 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
- • Higher input cost than GPT-5.6 Terra
- • Smaller context window than GPT-5.6 Terra
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.6 Terra (OpenAI)
Llama 3.1 405B (Meta (via Together AI))
Start using GPT-5.6 Terra today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, GPT-5.6 Terra or Llama 3.1 405B?▼
What is the context window difference between GPT-5.6 Terra and Llama 3.1 405B?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare OpenAI and Meta (via Together AI) API pricing beyond this model matchup?▼
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