Compare/DeepSeek V3.1 Terminus (Reasoning) vs Apertus 70B Instruct

DeepSeek V3.1 Terminus (Reasoning)vsApertus 70B Instruct

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

DeepSeek

DeepSeek V3.1 Terminus (Reasoning)

Input
$1.635/M
Output
$2.75/M
Speed
TTFT
Swiss AI Initiative

Apertus 70B Instruct

Input
$0.82/M
Output
$2.92/M
Speed
TTFT

Winner by Category

Cheaper
Apertus 70B Instruct
Faster (tok/s)
Tie
Lower Latency
Tie
Benchmarks (11-0)
DeepSeek V3.1 Terminus (Reasoning)

Pricing Comparison

MetricDeepSeek V3.1 Terminus (Reasoning)Apertus 70B Instruct
Input ($/M tokens)$1.635$0.82
Output ($/M tokens)$2.75$2.92
Cost for 1M input + 100K output tokens:
DeepSeek V3.1 Terminus (Reasoning)$1.91
Apertus 70B Instruct$1.11

Speed Comparison

Speed data not available for these models.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
33.97.7
Coding Index
33.71.9
Math Index
89.7
GPQA Diamond
79.2%27.2%
MMLU-Pro
85.1%
LiveCodeBench
79.8%
AIME 2025
89.7%
MATH-500
Humanity's Last Exam
15.2%5.5%
SciCode
40.6%5.7%
IFBench
57.0%25.9%
TerminalBench
30.3%0.0%
DeepSeek V3.1 Terminus (Reasoning)11 wins
0 winsApertus 70B Instruct

Frequently Asked Questions

Which is cheaper, DeepSeek V3.1 Terminus (Reasoning) or Apertus 70B Instruct?

Apertus 70B Instruct is cheaper overall. Its blended price (3:1 input/output ratio) is $1.34/M tokens vs $1.91/M for DeepSeek V3.1 Terminus (Reasoning).

Which model performs better on benchmarks?

DeepSeek V3.1 Terminus (Reasoning) wins 11 out of 12 benchmarks compared to 0 for Apertus 70B Instruct. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Both models have comparable generation speeds.

When should I use DeepSeek V3.1 Terminus (Reasoning) vs Apertus 70B Instruct?

Choose based on your priorities: Apertus 70B Instruct for lower cost, DeepSeek V3.1 Terminus (Reasoning) for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.