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DeepSeek V4 Flash Base vs Gemini 3 Pro Deep Think

Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

DeepSeek V4 Flash Base

31

VS

Gemini 3 Pro Deep Think

90

0 categoriesvs1 categories

Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. DeepSeek V4 Flash Base only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

Category Radar

Head-to-Head by Category

Category Breakdown

Reasoning

Gemini 3 Pro Deep Think
44.7vs45.1

+0.4 difference

Operational Comparison

DeepSeek V4 Flash Base

Gemini 3 Pro Deep Think

Price (per 1M tokens)

$null / $null

$null / $null

Speed

N/A

N/A

Latency (TTFT)

N/A

N/A

Context Window

1M

2M

Quick Verdict

Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. DeepSeek V4 Flash Base only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

Gemini 3 Pro Deep Think is clearly ahead on the provisional aggregate, 90 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemini 3 Pro Deep Think's sharpest advantage is in reasoning, where it averages 45.1 against 44.7.

Gemini 3 Pro Deep Think is the reasoning model in the pair, while DeepSeek V4 Flash Base is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 1M for DeepSeek V4 Flash Base.

Benchmark Deep Dive

Frequently Asked Questions (2)

Which is better, DeepSeek V4 Flash Base or Gemini 3 Pro Deep Think?

Gemini 3 Pro Deep Think is ahead on BenchLM's provisional leaderboard, 90 to 31.

Which is better for reasoning, DeepSeek V4 Flash Base or Gemini 3 Pro Deep Think?

Gemini 3 Pro Deep Think has the edge for reasoning in this comparison, averaging 45.1 versus 44.7. DeepSeek V4 Flash Base stays close enough that the answer can still flip depending on your workload.

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Last updated: April 24, 2026

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