Compare/o1-mini vs Llama 3.2 Instruct 11B (Vision)

o1-minivsLlama 3.2 Instruct 11B (Vision)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

OpenAI

o1-mini

Input
$0/M
Output
$0/M
Speed
TTFT
Meta

Llama 3.2 Instruct 11B (Vision)

Input
$0.16/M
Output
$0.16/M
Speed
81 tok/s
TTFT
0.37s

Winner by Category

Cheaper
o1-mini
Faster (tok/s)
Llama 3.2 Instruct 11B (Vision)
Lower Latency
o1-mini
Benchmarks (6-6)
Tie

Pricing Comparison

Metrico1-miniLlama 3.2 Instruct 11B (Vision)
Input ($/M tokens)$0$0.16
Output ($/M tokens)$0$0.16
Cost for 1M input + 100K output tokens:
o1-mini$0.00
Llama 3.2 Instruct 11B (Vision)$0.18

Speed Comparison

Output Speed (tokens/s) — higher is better
o1-mini
Llama 3.2 Instruct 11B (Vision)
81 tok/s
Time to First Token (seconds) — lower is better
o1-mini
Llama 3.2 Instruct 11B (Vision)
0.37s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
20.48.7
Coding Index
4.3
Math Index
1.7
GPQA Diamond
60.3%22.1%
MMLU-Pro
74.2%46.4%
LiveCodeBench
57.6%11.0%
AIME 2025
1.7%
MATH-500
94.4%51.6%
Humanity's Last Exam
4.9%5.2%
SciCode
32.3%11.2%
IFBench
30.4%
TerminalBench
0.8%
o1-mini6 wins
6 winsLlama 3.2 Instruct 11B (Vision)

Frequently Asked Questions

Which is cheaper, o1-mini or Llama 3.2 Instruct 11B (Vision)?

o1-mini is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.16/M for Llama 3.2 Instruct 11B (Vision).

Which model performs better on benchmarks?

It's a tie — both models win 6 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Llama 3.2 Instruct 11B (Vision) generates tokens faster at 81 tok/s vs 0 tok/s. o1-mini also has lower time-to-first-token (0.00s vs 0.37s).

When should I use o1-mini vs Llama 3.2 Instruct 11B (Vision)?

Choose based on your priorities: o1-mini for lower cost, both perform similarly on benchmarks, and Llama 3.2 Instruct 11B (Vision) for faster generation. For latency-sensitive apps, check the TTFT comparison above.