Gemini 3.1 Pro vs Llama 3.3 70B Instruct: Specs & Benchmark Comparison
| Characteristic | Gemini 3.1 Pro | Llama 3.3 70B Instruct |
|---|---|---|
| Company | Meta | |
| Release Date | February 19, 2026 | December 6, 2024 |
| Parameters | — | 70B |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 128K |
| Context (output) | 66K | 128K |
| Input Price / 1M | $2.50 | $0.88 |
| Output Price / 1M | $15.00 | $0.88 |
| Average Score | 0.8 | 0.8 |
| Benchmarks | ||
| GPQA | 0.9 | 0.5 |
Visual Benchmark Comparison
Gemini 3.1 Pro
Llama 3.3 70B Instruct
GPQA0.9 vs 0.5
0.9
0.5
Verdict
Gemini 3.1 Pro leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3.1 Pro — 0.8, Llama 3.3 70B Instruct — 0.8.
API Cost
Llama 3.3 70B Instruct is 9.9x cheaper: input $0.88/1M vs $2.50/1M tokens.
Context Window
Gemini 3.1 Pro supports a larger context: 1M vs 128K tokens.
Recency
Gemini 3.1 Pro is newer: released 2/19/2026 vs 12/6/2024.
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Frequently Asked Questions
Which is better for coding — Gemini 3.1 Pro or Llama 3.3 70B Instruct?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Gemini 3.1 Pro or Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct is cheaper for input: $0.88 per 1M tokens vs $2.50.
Which has a larger context window — Gemini 3.1 Pro or Llama 3.3 70B Instruct?
Gemini 3.1 Pro supports a larger context: 1,048,576 tokens vs 128,000.
The Gemini 3.1 Pro and Llama 3.3 70B Instruct comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3.1 Pro or Llama 3.3 70B Instruct page. See also the complete list of AI model comparisons.