Model Comparison
Gemini 1.0 Pro vs Llama 3.1 405B InstructWhich is better in 2026?
Llama 3.1 405B Instruct significantly outperforms across most benchmarks. Gemini 1.0 Pro is 1.2x cheaper per token.
Verdict: Gemini 1.0 Pro vs Llama 3.1 405B Instruct — which is better?
Gemini 1.0 Pro (by Google) and Llama 3.1 405B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 1.0 Pro outperforms in 0 benchmarks, while Llama 3.1 405B Instruct is better at 3 benchmarks (GPQA, MATH, MMLU). Llama 3.1 405B Instruct significantly outperforms across most benchmarks.
On price, Gemini 1.0 Pro is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.1 405B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.0 Pro if…
- cost matters — it's about 1.2x cheaper per token
Choose Llama 3.1 405B Instruct if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Jul 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.0 Pro outperforms in 0 benchmarks, while Llama 3.1 405B Instruct is better at 3 benchmarks (GPQA, MATH, MMLU).
Llama 3.1 405B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 1.8x cheaper than Llama 3.1 405B Instruct ($0.89/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 1.7x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).
In conclusion, Llama 3.1 405B Instruct is more expensive than Gemini 1.0 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 3.1 405B Instruct accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Llama 3.1 405B Instruct can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
License
Usage and distribution terms
Gemini 1.0 Pro is licensed under a proprietary license, while Llama 3.1 405B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
Gemini 1.0 Pro was released on 2024-02-15, while Llama 3.1 405B Instruct was released on 2024-07-23.
Llama 3.1 405B Instruct is 5 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.3 years ago
Jul 23, 2024
1.9 years ago
5mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Llama 3.1 405B Instruct's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Llama 3.1 405B Instruct's cutoff date.
Feb 2024
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Provider Availability
Gemini 1.0 Pro is available from Google. Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate.
Gemini 1.0 Pro
Llama 3.1 405B Instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 1.0 Pro vs Llama 3.1 405B Instruct.