Compare/DeepSeek V3.1 Terminus (Reasoning) vs Kimi K2.5 (Reasoning)

DeepSeek V3.1 Terminus (Reasoning)vsKimi K2.5 (Reasoning)

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
Kimi

Kimi K2.5 (Reasoning)

Input
$0.54/M
Output
$2.925/M
Speed
49 tok/s
TTFT
1.14s

Winner by Category

Cheaper
Kimi K2.5 (Reasoning)
Faster (tok/s)
Kimi K2.5 (Reasoning)
Lower Latency
DeepSeek V3.1 Terminus (Reasoning)
Benchmarks (4-7)
Kimi K2.5 (Reasoning)

Pricing Comparison

MetricDeepSeek V3.1 Terminus (Reasoning)Kimi K2.5 (Reasoning)
Input ($/M tokens)$1.635$0.54
Output ($/M tokens)$2.75$2.925
Cost for 1M input + 100K output tokens:
DeepSeek V3.1 Terminus (Reasoning)$1.91
Kimi K2.5 (Reasoning)$0.83

Speed Comparison

Output Speed (tokens/s) — higher is better
DeepSeek V3.1 Terminus (Reasoning)
Kimi K2.5 (Reasoning)
49 tok/s
Time to First Token (seconds) — lower is better
DeepSeek V3.1 Terminus (Reasoning)
Kimi K2.5 (Reasoning)
1.14s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
33.946.8
Coding Index
33.739.6
Math Index
89.7
GPQA Diamond
79.2%87.9%
MMLU-Pro
85.1%
LiveCodeBench
79.8%
AIME 2025
89.7%
MATH-500
Humanity's Last Exam
15.2%29.4%
SciCode
40.6%49.0%
IFBench
57.0%70.2%
TerminalBench
30.3%34.8%
DeepSeek V3.1 Terminus (Reasoning)4 wins
7 winsKimi K2.5 (Reasoning)

Frequently Asked Questions

Which is cheaper, DeepSeek V3.1 Terminus (Reasoning) or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.14/M tokens vs $1.91/M for DeepSeek V3.1 Terminus (Reasoning).

Which model performs better on benchmarks?

Kimi K2.5 (Reasoning) wins 7 out of 12 benchmarks compared to 4 for DeepSeek V3.1 Terminus (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Kimi K2.5 (Reasoning) generates tokens faster at 49 tok/s vs 0 tok/s. DeepSeek V3.1 Terminus (Reasoning) also has lower time-to-first-token (0.00s vs 1.14s).

When should I use DeepSeek V3.1 Terminus (Reasoning) vs Kimi K2.5 (Reasoning)?

Choose based on your priorities: Kimi K2.5 (Reasoning) for lower cost, Kimi K2.5 (Reasoning) for stronger benchmark performance, and Kimi K2.5 (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.