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Gemini 3.8 Live Extended Thinking vs Llama 3.1 8B

Pricing verdict: Gemini 3.8 Live Extended Thinking vs Llama 3.1 8B: Llama 3.1 8B is cheaper for input-heavy usage ($0.18/M vs $0.75/M input tokens), while Gemini 3.8 Live Extended Thinking is better for long-context tasks (131,072 tokens).

Direct answer: choose Llama 3.1 8B for lower token spend and choose Gemini 3.8 Live Extended Thinking 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.

Google
Gemini 3.8 Live Extended Thinking
vs
Meta (via Together AI)
Llama 3.1 8B

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini 3.8 Live Extended Thinking

Per Request:$0.003000
Daily:$0.30
Monthly:$9.00
Yearly:$109.50

Llama 3.1 8B

Per Request:$0.000270
Daily:$0.027
Monthly:$0.81
Yearly:$9.855

Cost Differences

$0.002730
Per Request
$0.273
Daily
$8.19
Monthly
$99.645
Yearly

Llama 3.1 8B costs less than Gemini 3.8 Live Extended Thinking

Feature Comparison

FeatureGemini 3.8 Live Extended ThinkingLlama 3.1 8B
ProviderGoogleMeta (via Together AI)
Input Price$0.75/1M tokens$0.18/1M tokens
Output Price$4.50/1M tokens$0.18/1M tokens
Context Window131,072 tokens128,000 tokens
Max Output65,536 tokens32,768 tokens
Categoryreasoningefficient
Capabilities
textvisionaudiovideoreasoningstreaming
textcode
Release Date9/15/20267/23/2024

Gemini 3.8 Live Extended Thinking vs Llama 3.1 8B: Which Should You Choose?

Choosing between Gemini 3.8 Live Extended Thinking and Llama 3.1 8B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 8B is the more affordable option at $0.18/1M input tokens — 76% cheaper than Gemini 3.8 Live Extended Thinking. Meanwhile, Gemini 3.8 Live Extended Thinking offers a significantly larger context window at 131,072 tokens vs 128,000 for Llama 3.1 8B.

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 Extended Thinking is a reasoning model while Llama 3.1 8B is efficient. This means they're optimized for different workloads. Gemini 3.8 Live Extended Thinking is built for complex tasks that require deeper reasoning, while Llama 3.1 8B offers better value for routine operations.

Output costs matter too. Gemini 3.8 Live Extended Thinking charges $4.50/1M output tokens vs $0.18 for Llama 3.1 8B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 8B has the edge here at $0.18/1M output tokens.

Multimodal capabilities: Gemini 3.8 Live Extended Thinking supports vision (image inputs) while Llama 3.1 8B is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini 3.8 Live Extended Thinking when:

  • • You need a larger context window (131,072 tokens)
  • • You need more capabilities (vision, audio, video, reasoning, streaming)
  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using Google's API ecosystem

Choose Llama 3.1 8B when:

  • • Budget is a primary concern
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Gemini 3.8 Live Extended Thinking

  • 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 input cost than Llama 3.1 8B
  • Higher output cost than Llama 3.1 8B

Llama 3.1 8B

  • Input pricing: $0.18/M tokens
  • Output pricing: $0.18/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Smaller context window than Gemini 3.8 Live Extended Thinking

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini 3.8 Live Extended Thinking (Google)

Llama 3.1 8B (Meta (via Together AI))

Start using Gemini 3.8 Live Extended Thinking today

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Start using Llama 3.1 8B today

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Frequently Asked Questions

Which is cheaper, Gemini 3.8 Live Extended Thinking or Llama 3.1 8B?
Llama 3.1 8B is cheaper for input tokens at $0.18 per million tokens vs $0.75 for Gemini 3.8 Live Extended Thinking — that's 76% savings on input costs.
What is the context window difference between Gemini 3.8 Live Extended Thinking and Llama 3.1 8B?
Gemini 3.8 Live Extended Thinking supports 131,072 tokens while Llama 3.1 8B supports 128,000 tokens — a difference of 3,072 tokens in favor of Gemini 3.8 Live Extended Thinking.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 3.1 8B is the lower-cost option, while Gemini 3.8 Live Extended Thinking offers a larger context window (131,072 vs 128,000 tokens). Choose Llama 3.1 8B for budget sensitivity or Gemini 3.8 Live Extended Thinking for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Gemini 3.8 Live Extended Thinking costs about $9.00/month and Llama 3.1 8B costs about $0.81/month. Overall, Llama 3.1 8B has lower combined input + output rates ($0.18 in, $0.18 out) vs Gemini 3.8 Live Extended Thinking.
Where can I compare Google and Meta (via Together AI) API pricing beyond this model matchup?
See the Google vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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