GPT-4o mini vs Llama 3.1 70B
GPT-4o mini vs Llama 3.1 70B: GPT-4o mini is cheaper for input-heavy usage ($0.15/M vs $0.88/M input tokens), while GPT-4o mini is better for long-context tasks (128,000 tokens).
Direct answer: choose GPT-4o mini for lower token spend and choose GPT-4o mini 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-4o mini
Llama 3.1 70B
Cost Differences
Llama 3.1 70B costs more than GPT-4o mini
Quick Recommendation
Winner for direct API pricing: GPT-4o mini. At the default workload, GPT-4o mini saves about $2.61/month ($31.755/year) versus Llama 3.1 70B.
Feature Comparison
| Feature | GPT-4o mini | Llama 3.1 70B |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $0.15/1M tokens | $0.88/1M tokens |
| Output Price | $0.60/1M tokens | $0.88/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 16,384 tokens | 32,768 tokens |
| Category | efficient | balanced |
| Capabilities | textvision | textcode |
| Release Date | 7/18/2024 | 7/23/2024 |
GPT-4o mini vs Llama 3.1 70B: Which Should You Choose?
Choosing between GPT-4o mini and Llama 3.1 70B depends on your priorities: cost efficiency, context length, or raw capability. GPT-4o mini is the more affordable option at $0.15/1M input tokens — 83% cheaper than Llama 3.1 70B.
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-4o mini is a efficient model while Llama 3.1 70B is balanced. This means they're optimized for different workloads. Llama 3.1 70B targets more demanding workloads, while GPT-4o mini provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-4o mini charges $0.60/1M 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. GPT-4o mini has the edge here at $0.60/1M output tokens.
Multimodal capabilities: GPT-4o mini 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-4o mini when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Llama 3.1 70B when:
- • 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-4o mini
- • Input pricing: $0.15/M tokens
- • Output pricing: $0.60/M tokens
- • Context window: 128,000 tokens
- • Max output: 16,384 tokens
Watch out for
- • Trade-offs are minor in this matchup.
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
- • Higher input cost than GPT-4o mini
- • Higher output cost than GPT-4o mini
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4o mini (OpenAI)
Llama 3.1 70B (Meta (via Together AI))
Start using GPT-4o mini today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, GPT-4o mini or Llama 3.1 70B?▼
What is the context window difference between GPT-4o mini 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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