GPT-4 Turbo vs Llama 3.1 70B
GPT-4 Turbo vs Llama 3.1 70B: Llama 3.1 70B is cheaper for input-heavy usage ($0.88/M vs $10.00/M input tokens), while GPT-4 Turbo is better for long-context tasks (128,000 tokens).
Direct answer: choose Llama 3.1 70B for lower token spend and choose GPT-4 Turbo 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4 Turbo
Llama 3.1 70B
Cost Differences
Llama 3.1 70B costs less than GPT-4 Turbo
Quick Recommendation
Winner for direct API pricing: Llama 3.1 70B. At the default workload, Llama 3.1 70B saves about $71.04/month ($864.32/year) versus GPT-4 Turbo.
Feature Comparison
| Feature | GPT-4 Turbo | Llama 3.1 70B |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $10.00/1M tokens | $0.88/1M tokens |
| Output Price | $30.00/1M tokens | $0.88/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 4,096 tokens | 32,768 tokens |
| Category | flagship | balanced |
| Capabilities | textvisioncode | textcode |
| Release Date | 4/9/2024 | 7/23/2024 |
GPT-4 Turbo vs Llama 3.1 70B: Which Should You Choose?
Choosing between GPT-4 Turbo and Llama 3.1 70B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 70B is the more affordable option at $0.88/1M input tokens — 91% cheaper than GPT-4 Turbo.
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 Turbo is a flagship model while Llama 3.1 70B is balanced. This means they're optimized for different workloads. GPT-4 Turbo is built for complex tasks that require deeper reasoning, while Llama 3.1 70B offers better value for routine operations.
Output costs matter too. GPT-4 Turbo charges $30.00/1M output tokens vs $0.88 for Llama 3.1 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 70B has the edge here at $0.88/1M output tokens.
Multimodal capabilities: GPT-4 Turbo supports vision (image inputs) while Llama 3.1 70B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-4 Turbo when:
- • You need more capabilities (vision)
- • You're already using OpenAI's API ecosystem
Choose Llama 3.1 70B when:
- • Budget is a primary concern
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
Pros and Caveats at a Glance
GPT-4 Turbo
- • Input pricing: $10.00/M tokens
- • Output pricing: $30.00/M tokens
- • Context window: 128,000 tokens
- • Max output: 4,096 tokens
Watch out for
- • Higher input cost than Llama 3.1 70B
- • Higher output cost than Llama 3.1 70B
Llama 3.1 70B
- • Input pricing: $0.88/M tokens
- • Output pricing: $0.88/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4 Turbo (OpenAI)
Llama 3.1 70B (Meta (via Together AI))
Start using GPT-4 Turbo today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, GPT-4 Turbo or Llama 3.1 70B?▼
What is the context window difference between GPT-4 Turbo and Llama 3.1 70B?▼
Which model is better for AI Chatbot?▼
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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