Compare/Llama 2 Chat 70B vs GPT-5.4 nano (medium)

Llama 2 Chat 70BvsGPT-5.4 nano (medium)

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

Meta

Llama 2 Chat 70B

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

GPT-5.4 nano (medium)

Input
$0.2/M
Output
$1.25/M
Speed
171 tok/s
TTFT
2.38s

Winner by Category

Cheaper
Llama 2 Chat 70B
Faster (tok/s)
GPT-5.4 nano (medium)
Lower Latency
Llama 2 Chat 70B
Benchmarks (3-7)
GPT-5.4 nano (medium)

Pricing Comparison

MetricLlama 2 Chat 70BGPT-5.4 nano (medium)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
Llama 2 Chat 70B$0.00
GPT-5.4 nano (medium)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Llama 2 Chat 70B
GPT-5.4 nano (medium)
171 tok/s
Time to First Token (seconds) — lower is better
Llama 2 Chat 70B
GPT-5.4 nano (medium)
2.38s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.438.1
Coding Index
35.0
Math Index
GPQA Diamond
32.7%76.1%
MMLU-Pro
40.6%
LiveCodeBench
9.8%
AIME 2025
MATH-500
32.3%
Humanity's Last Exam
5.0%14.7%
SciCode
38.4%
IFBench
64.4%
TerminalBench
33.3%
Llama 2 Chat 70B3 wins
7 winsGPT-5.4 nano (medium)

Frequently Asked Questions

Which is cheaper, Llama 2 Chat 70B or GPT-5.4 nano (medium)?

Llama 2 Chat 70B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.46/M for GPT-5.4 nano (medium).

Which model performs better on benchmarks?

GPT-5.4 nano (medium) wins 7 out of 12 benchmarks compared to 3 for Llama 2 Chat 70B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (medium) generates tokens faster at 171 tok/s vs 0 tok/s. Llama 2 Chat 70B also has lower time-to-first-token (0.00s vs 2.38s).

When should I use Llama 2 Chat 70B vs GPT-5.4 nano (medium)?

Choose based on your priorities: Llama 2 Chat 70B for lower cost, GPT-5.4 nano (medium) for stronger benchmark performance, and GPT-5.4 nano (medium) for faster generation. For latency-sensitive apps, check the TTFT comparison above.