Compare/GPT-5.5 (low) vs Llama 3.3 Instruct 70B

GPT-5.5 (low)vsLlama 3.3 Instruct 70B

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

OpenAI

GPT-5.5 (low)

Input
$5/M
Output
$30/M
Speed
TTFT
Meta

Llama 3.3 Instruct 70B

Input
$0.585/M
Output
$0.71/M
Speed
97 tok/s
TTFT
0.57s

Winner by Category

Cheaper
Llama 3.3 Instruct 70B
Faster (tok/s)
Llama 3.3 Instruct 70B
Lower Latency
GPT-5.5 (low)
Benchmarks (7-5)
GPT-5.5 (low)

Pricing Comparison

MetricGPT-5.5 (low)Llama 3.3 Instruct 70B
Input ($/M tokens)$5$0.585
Output ($/M tokens)$30$0.71
Cost for 1M input + 100K output tokens:
GPT-5.5 (low)$8.00
Llama 3.3 Instruct 70B$0.66

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-5.5 (low)
Llama 3.3 Instruct 70B
97 tok/s
Time to First Token (seconds) — lower is better
GPT-5.5 (low)
Llama 3.3 Instruct 70B
0.57s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
50.814.5
Coding Index
52.110.7
Math Index
7.7
GPQA Diamond
91.0%49.8%
MMLU-Pro
71.3%
LiveCodeBench
28.8%
AIME 2025
7.7%
MATH-500
77.3%
Humanity's Last Exam
31.0%4.0%
SciCode
51.6%26.0%
IFBench
64.4%47.1%
TerminalBench
52.3%3.0%
GPT-5.5 (low)7 wins
5 winsLlama 3.3 Instruct 70B

Frequently Asked Questions

Which is cheaper, GPT-5.5 (low) or Llama 3.3 Instruct 70B?

Llama 3.3 Instruct 70B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.68/M tokens vs $11.25/M for GPT-5.5 (low).

Which model performs better on benchmarks?

GPT-5.5 (low) wins 7 out of 12 benchmarks compared to 5 for Llama 3.3 Instruct 70B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Llama 3.3 Instruct 70B generates tokens faster at 97 tok/s vs 0 tok/s. GPT-5.5 (low) also has lower time-to-first-token (0.00s vs 0.57s).

When should I use GPT-5.5 (low) vs Llama 3.3 Instruct 70B?

Choose based on your priorities: Llama 3.3 Instruct 70B for lower cost, GPT-5.5 (low) for stronger benchmark performance, and Llama 3.3 Instruct 70B for faster generation. For latency-sensitive apps, check the TTFT comparison above.