Compare/Mistral Small 3.2 vs Llama 2 Chat 7B

Mistral Small 3.2vsLlama 2 Chat 7B

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

Mistral

Mistral Small 3.2

Input
$0.087/M
Output
$0.25/M
Speed
121 tok/s
TTFT
0.43s
Meta

Llama 2 Chat 7B

Input
$0.05/M
Output
$0.25/M
Speed
98 tok/s
TTFT
15.54s

Winner by Category

Cheaper
Llama 2 Chat 7B
Faster (tok/s)
Mistral Small 3.2
Lower Latency
Mistral Small 3.2
Benchmarks (11-1)
Mistral Small 3.2

Pricing Comparison

MetricMistral Small 3.2Llama 2 Chat 7B
Input ($/M tokens)$0.087$0.05
Output ($/M tokens)$0.25$0.25
Cost for 1M input + 100K output tokens:
Mistral Small 3.2$0.11
Llama 2 Chat 7B$0.08

Speed Comparison

Output Speed (tokens/s) — higher is better
Mistral Small 3.2
121 tok/s
Llama 2 Chat 7B
98 tok/s
Time to First Token (seconds) — lower is better
Mistral Small 3.2
0.43s
Llama 2 Chat 7B
15.54s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.19.7
Coding Index
13.3
Math Index
27.0
GPQA Diamond
50.5%22.7%
MMLU-Pro
68.1%16.4%
LiveCodeBench
27.5%0.2%
AIME 2025
27.0%
MATH-500
88.3%5.9%
Humanity's Last Exam
4.3%5.8%
SciCode
26.4%0.0%
IFBench
33.5%
TerminalBench
6.8%
Mistral Small 3.211 wins
1 winsLlama 2 Chat 7B

Frequently Asked Questions

Which is cheaper, Mistral Small 3.2 or Llama 2 Chat 7B?

Llama 2 Chat 7B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.10/M tokens vs $0.13/M for Mistral Small 3.2.

Which model performs better on benchmarks?

Mistral Small 3.2 wins 11 out of 12 benchmarks compared to 1 for Llama 2 Chat 7B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Mistral Small 3.2 generates tokens faster at 121 tok/s vs 98 tok/s. Mistral Small 3.2 also has lower time-to-first-token (0.43s vs 15.54s).

When should I use Mistral Small 3.2 vs Llama 2 Chat 7B?

Choose based on your priorities: Llama 2 Chat 7B for lower cost, Mistral Small 3.2 for stronger benchmark performance, and Mistral Small 3.2 for faster generation. For latency-sensitive apps, check the TTFT comparison above.