Gemini 3.8 Live vs Llama 3.1 405B
Pricing verdict: Gemini 3.8 Live vs Llama 3.1 405B: Gemini 3.8 Live is cheaper for input-heavy usage ($0.75/M vs $3.50/M input tokens), while Gemini 3.8 Live is better for long-context tasks (131,072 tokens).
Direct answer: choose Gemini 3.8 Live for lower token spend and choose Gemini 3.8 Live 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)
Gemini 3.8 Live
Llama 3.1 405B
Cost Differences
Llama 3.1 405B costs more than Gemini 3.8 Live
Quick Recommendation
Winner for direct API pricing: Gemini 3.8 Live. At the default workload, Gemini 3.8 Live saves about $6.75/month ($82.125/year) versus Llama 3.1 405B.
Feature Comparison
| Feature | Gemini 3.8 Live | Llama 3.1 405B |
|---|---|---|
| Provider | Meta (via Together AI) | |
| Input Price | $0.75/1M tokens | $3.50/1M tokens |
| Output Price | $4.50/1M tokens | $3.50/1M tokens |
| Context Window | 131,072 tokens | 128,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | balanced | flagship |
| Capabilities | textvisionaudiovideoreasoningstreaming | textcodereasoning |
| Release Date | 9/15/2026 | 7/23/2024 |
Gemini 3.8 Live vs Llama 3.1 405B: Which Should You Choose?
Choosing between Gemini 3.8 Live and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.8 Live is the more affordable option at $0.75/1M input tokens — 79% cheaper than Llama 3.1 405B. Meanwhile, Gemini 3.8 Live offers a significantly larger context window at 131,072 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.
These models target different tiers: Gemini 3.8 Live 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 Gemini 3.8 Live provides a cost-effective option for everyday tasks.
Output costs matter too. Gemini 3.8 Live charges $4.50/1M 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 3.8 Live 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 3.8 Live when:
- • Budget is a primary concern
- • You need a larger context window (131,072 tokens)
- • You need more capabilities (vision, audio, video, streaming)
- • You need longer outputs (up to 65,536 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 3.8 Live
- • Input pricing: $0.75/M tokens
- • Output pricing: $4.50/M tokens
- • Context window: 131,072 tokens
- • Max output: 65,536 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 3.8 Live
- • Smaller context window than Gemini 3.8 Live
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 3.8 Live (Google)
Llama 3.1 405B (Meta (via Together AI))
Start using Gemini 3.8 Live today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Gemini 3.8 Live or Llama 3.1 405B?▼
What is the context window difference between Gemini 3.8 Live 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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