Gemini 2.5 Pro vs Llama 3.1 405B
Gemini 2.5 Pro vs Llama 3.1 405B: Gemini 2.5 Pro is cheaper for input-heavy usage ($1.25/M vs $3.50/M input tokens), while Gemini 2.5 Pro is better for long-context tasks (2,000,000 tokens).
Direct answer: choose Gemini 2.5 Pro for lower token spend and choose Gemini 2.5 Pro 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)
Gemini 2.5 Pro
Llama 3.1 405B
Cost Differences
Llama 3.1 405B costs less than Gemini 2.5 Pro
Quick Recommendation
Winner for direct API pricing: Llama 3.1 405B. At the default workload, Llama 3.1 405B saves about $3.00/month ($36.50/year) versus Gemini 2.5 Pro.
Feature Comparison
| Feature | Gemini 2.5 Pro | Llama 3.1 405B |
|---|---|---|
| Provider | Meta (via Together AI) | |
| Input Price | $1.25/1M tokens | $3.50/1M tokens |
| Output Price | $10.00/1M tokens | $3.50/1M tokens |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Max Output | 131,072 tokens | 32,768 tokens |
| Category | flagship | flagship |
| Capabilities | textvisionaudiovideocode | textcodereasoning |
| Release Date | 3/25/2025 | 7/23/2024 |
Gemini 2.5 Pro vs Llama 3.1 405B: Which Should You Choose?
Choosing between Gemini 2.5 Pro 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 tokens. Meanwhile, Gemini 2.5 Pro offers a significantly larger context window at 2,000,000 tokens vs 128,000 for Llama 3.1 405B.
These models come from different providers — Google and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, 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 $300.00/month compared to Gemini 2.5 Pro. For startups and indie developers, that difference can be significant.
Output costs matter too. Gemini 2.5 Pro charges $10.00/1M 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: Gemini 2.5 Pro 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 Gemini 2.5 Pro when:
- • Budget is a primary concern
- • You need a larger context window (2,000,000 tokens)
- • You need more capabilities (vision, audio, video)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using Google'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
Gemini 2.5 Pro
- • Input pricing: $1.25/M tokens
- • Output pricing: $10.00/M tokens
- • Context window: 2,000,000 tokens
- • Max output: 131,072 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 Gemini 2.5 Pro
- • Smaller context window than Gemini 2.5 Pro
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 2.5 Pro (Google)
Llama 3.1 405B (Meta (via Together AI))
Start using Gemini 2.5 Pro today
Sign Up for Google →Start using Llama 3.1 405B today
Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Gemini 2.5 Pro or Llama 3.1 405B?▼
What is the context window difference between Gemini 2.5 Pro and Llama 3.1 405B?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Google and Meta (via Together AI) API pricing beyond this model matchup?▼
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