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DeepSeek V4 Pro Base vs Kimi K2.5

Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

DeepSeek V4 Pro Base

43

VS

Kimi K2.5

64

1 categoriesvs2 categories

Verified leaderboard positions: DeepSeek V4 Pro Base unranked · Kimi K2.5 #11

Pick Kimi K2.5 if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if multilingual is the priority or you need the larger 1M context window.

Category Radar

Head-to-Head by Category

Category Breakdown

Reasoning

Kimi K2.5
51.5vs61

+9.5 difference

Knowledge

Kimi K2.5
63.4vs65.1

+1.7 difference

Multilingual

DeepSeek V4 Pro Base
84.4vs82.3

+2.1 difference

Operational Comparison

DeepSeek V4 Pro Base

Kimi K2.5

Price (per 1M tokens)

$null / $null

$0.6 / $3

Speed

N/A

45 t/s

Latency (TTFT)

N/A

2.38s

Context Window

1M

256K

Quick Verdict

Pick Kimi K2.5 if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if multilingual is the priority or you need the larger 1M context window.

Kimi K2.5 is clearly ahead on the provisional aggregate, 64 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Kimi K2.5's sharpest advantage is in reasoning, where it averages 61 against 51.5. The single biggest benchmark swing on the page is SuperGPQA, 53.9% to 69.2%. DeepSeek V4 Pro Base does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.

DeepSeek V4 Pro Base gives you the larger context window at 1M, compared with 256K for Kimi K2.5.

Benchmark Deep Dive

Frequently Asked Questions (4)

Which is better, DeepSeek V4 Pro Base or Kimi K2.5?

Kimi K2.5 is ahead on BenchLM's provisional leaderboard, 64 to 43. The biggest single separator in this matchup is SuperGPQA, where the scores are 53.9% and 69.2%.

Which is better for knowledge tasks, DeepSeek V4 Pro Base or Kimi K2.5?

Kimi K2.5 has the edge for knowledge tasks in this comparison, averaging 65.1 versus 63.4. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.

Which is better for reasoning, DeepSeek V4 Pro Base or Kimi K2.5?

Kimi K2.5 has the edge for reasoning in this comparison, averaging 61 versus 51.5. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.

Which is better for multilingual tasks, DeepSeek V4 Pro Base or Kimi K2.5?

DeepSeek V4 Pro Base has the edge for multilingual tasks in this comparison, averaging 84.4 versus 82.3. Kimi K2.5 stays close enough that the answer can still flip depending on your workload.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek V4 Pro Base
API / mo$0
Self-host / moN/A
Break-even
Proprietary model — self-hosting not applicable.
Kimi K2.5
API / mo$2,700
Self-host / mo$5,221
Break-even132M/day
Model the full break-even

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Last updated: April 24, 2026

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