Compare/MiniMax-M2.1 vs Llama 3.1 Nemotron Instruct 70B

MiniMax-M2.1vsLlama 3.1 Nemotron Instruct 70B

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

MiniMax

MiniMax-M2.1

Input
$0.3/M
Output
$1.2/M
Speed
50 tok/s
TTFT
1.55s
NVIDIA

Llama 3.1 Nemotron Instruct 70B

Input
$1.2/M
Output
$1.2/M
Speed
33 tok/s
TTFT
0.39s

Winner by Category

Cheaper
MiniMax-M2.1
Faster (tok/s)
MiniMax-M2.1
Lower Latency
Llama 3.1 Nemotron Instruct 70B
Benchmarks (11-1)
MiniMax-M2.1

Pricing Comparison

MetricMiniMax-M2.1Llama 3.1 Nemotron Instruct 70B
Input ($/M tokens)$0.3$1.2
Output ($/M tokens)$1.2$1.2
Cost for 1M input + 100K output tokens:
MiniMax-M2.1$0.42
Llama 3.1 Nemotron Instruct 70B$1.32

Speed Comparison

Output Speed (tokens/s) — higher is better
MiniMax-M2.1
50 tok/s
Llama 3.1 Nemotron Instruct 70B
33 tok/s
Time to First Token (seconds) — lower is better
MiniMax-M2.1
1.55s
Llama 3.1 Nemotron Instruct 70B
0.39s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
39.413.4
Coding Index
32.810.8
Math Index
82.711.0
GPQA Diamond
83.0%46.5%
MMLU-Pro
87.5%69.0%
LiveCodeBench
81.0%16.9%
AIME 2025
82.7%11.0%
MATH-500
73.3%
Humanity's Last Exam
22.2%4.6%
SciCode
40.7%23.3%
IFBench
69.9%30.7%
TerminalBench
28.8%4.5%
MiniMax-M2.111 wins
1 winsLlama 3.1 Nemotron Instruct 70B

Frequently Asked Questions

Which is cheaper, MiniMax-M2.1 or Llama 3.1 Nemotron Instruct 70B?

MiniMax-M2.1 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.53/M tokens vs $1.20/M for Llama 3.1 Nemotron Instruct 70B.

Which model performs better on benchmarks?

MiniMax-M2.1 wins 11 out of 12 benchmarks compared to 1 for Llama 3.1 Nemotron Instruct 70B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

MiniMax-M2.1 generates tokens faster at 50 tok/s vs 33 tok/s. However, Llama 3.1 Nemotron Instruct 70B has lower time-to-first-token (0.39s vs 1.55s).

When should I use MiniMax-M2.1 vs Llama 3.1 Nemotron Instruct 70B?

Choose based on your priorities: MiniMax-M2.1 for lower cost, MiniMax-M2.1 for stronger benchmark performance, and MiniMax-M2.1 for faster generation. For latency-sensitive apps, check the TTFT comparison above.