whichLlmmodel
Back to Dashboard

DeepSeekDeepSeek V4 ProVSGoogleGemini 3.6 Flash

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

If your budget allows, Gemini 3.6 Flash is the superior choice here, offering a clear benchmark advantage while carrying only a slight price premium (1.4x). We recommend choosing DeepSeek V4 Pro only if you need to optimize costs for very high-volume pipelines.
Was this recommendation helpful?
Model Specs

DeepSeek V4 Pro

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
52.1%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
88%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.4x cheaper
$2.17Input: $1.74 | Output: $3.48
Context Window
1.05M tokens
Model Specs

Gemini 3.6 Flash

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+6.6%)
58.7%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+5.0%)
93%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$3.00Input: $1.50 | Output: $7.50
Context Window
1.05M tokens

Frequently Asked Questions about DeepSeek V4 Pro vs Gemini 3.6 Flash

DeepSeek V4 Pro is cheaper than Gemini 3.6 Flash. DeepSeek V4 Pro has a blended cost of $2.17/1M tokens, which is about 1.4x cheaper than Gemini 3.6 Flash at $3.00/1M tokens.

Gemini 3.6 Flash is better for coding tasks on this benchmark. It scores 58.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to DeepSeek V4 Pro which scores 52.1%.

Do you want to find a model for your constraints?

Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

Open Model Finder