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DeepSeek V3.2 (Chat) vs Gemini 3 Pro

Complete pricing and performance comparison between DeepSeek's DeepSeek V3.2 (Chat) and Google's Gemini 3 Pro.

Quick Verdict

Cheaper
DeepSeek V3.2 (Chat)
7.1x cheaper input, 28.6x cheaper output
Larger Context
Gemini 3 Pro
1.0M vs 128K
Higher Quality
Gemini 3 Pro
Score: 48 vs 32
Faster
Gemini 3 Pro
116 vs 34 tok/s

Pricing Comparison

SpecDeepSeek V3.2 (Chat)Gemini 3 ProDifference
ProviderDeepSeekGoogle
Input / 1M tokens$0.28$2DeepSeek V3.2 (Chat) is 86% more expensive
Output / 1M tokens$0.42$12DeepSeek V3.2 (Chat) is 97% more expensive
Context Window128K1.0M8x difference
Max Output8K66K

Performance Benchmarks

MetricDeepSeek V3.2 (Chat)Gemini 3 ProWinner
Quality Index3248Gemini 3 Pro
Output Speed34 tok/s116 tok/sGemini 3 Pro
Time to First Token1.50s26.68sDeepSeek V3.2 (Chat)
Value (Quality/$)114.624.2Higher = better value

Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.

Cost at Scale

Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).

UsageDeepSeek V3.2 (Chat)Gemini 3 ProSavings
Single request
1K in / 300 out
$0.0004$0.0056DeepSeek V3.2 (Chat) saves $0.0052
10 requests
10K in / 3K out
$0.0041$0.056DeepSeek V3.2 (Chat) saves $0.052
100 requests
100K in / 30K out
$0.041$0.560DeepSeek V3.2 (Chat) saves $0.519
1,000 requests
1M in / 300K out
$0.406$5.60DeepSeek V3.2 (Chat) saves $5.19
10,000 requests
10M in / 3M out
$4.06$56.00DeepSeek V3.2 (Chat) saves $51.94
1M requests/mo
1B in / 300M out
$406.00$5600.00DeepSeek V3.2 (Chat) saves $5194.00

Pros & Cons

DeepSeek V3.2 (Chat) Strengths

  • +Cheaper input tokens
  • +Cheaper output tokens
  • +Lower latency (faster first token)

Gemini 3 Pro Strengths

  • +Larger context window (1.0M vs 128K)
  • +Higher max output tokens
  • +Faster output (116 vs 34 tok/s)
  • +Higher quality score (48 vs 32)

When to Use Each Model

Choose DeepSeek V3.2 (Chat) for

  • Budget-conscious projects where cost is the primary factor

Choose Gemini 3 Pro for

  • Long documents, large codebases, or multi-turn conversations
  • Generating long-form content or detailed code
  • Tasks requiring maximum accuracy and reasoning
  • Real-time applications, chat, or autocomplete

Frequently Asked Questions

Which is cheaper, DeepSeek V3.2 (Chat) or Gemini 3 Pro?
For input tokens, DeepSeek V3.2 (Chat) is 7.1x cheaper at $0.28/1M tokens. For output tokens, DeepSeek V3.2 (Chat) is 28.6x cheaper at $0.42/1M tokens. At typical usage (1M input + 300K output), DeepSeek V3.2 (Chat) costs $0.406 vs Gemini 3 Pro at $5.60.
What's the context window difference?
DeepSeek V3.2 (Chat) supports 128K context (128,000 tokens), while Gemini 3 Pro supports 1.0M (1,048,576 tokens). Gemini 3 Pro can handle 8x more context in a single request.
Which model has better benchmarks?
Quality Index: DeepSeek V3.2 (Chat) scores 32 vs Gemini 3 Pro at 48. Speed: DeepSeek V3.2 (Chat) generates 34 tok/s vs Gemini 3 Pro at 116 tok/s. Time to first token: DeepSeek V3.2 (Chat) at 1.50s vs Gemini 3 Pro at 26.68s.
When should I choose DeepSeek V3.2 (Chat) over Gemini 3 Pro?
Choose DeepSeek V3.2 (Chat) when you need: Cheaper input tokens, Cheaper output tokens, Lower latency (faster first token). Choose Gemini 3 Pro when you need: Larger context window (1.0M vs 128K), Higher max output tokens, Faster output (116 vs 34 tok/s), Higher quality score (48 vs 32).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): DeepSeek V3.2 (Chat) = $4.06, Gemini 3 Pro = $56.00. At 10K input + 1K output per request (longer conversations): DeepSeek V3.2 (Chat) = $32.20, Gemini 3 Pro = $320.00.

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