Which is better for coding — DeepSeek-V3.2 (Thinking) or Gemini 3.1 Pro?

Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.

Which model is cheaper — DeepSeek-V3.2 (Thinking) or Gemini 3.1 Pro?

DeepSeek-V3.2 (Thinking) is cheaper for input: $0.28 per 1M tokens vs $2.50.

Which has a larger context window — DeepSeek-V3.2 (Thinking) or Gemini 3.1 Pro?

Gemini 3.1 Pro supports a larger context: 1,048,576 tokens vs 131,072.

DeepSeek-V3.2 (Thinking) vs Gemini 3.1 Pro: Specs & Benchmark Comparison

DeepSeek-V3.2 (Thinking)

DeepSeek

Gemini 3.1 Pro

Google

Characteristic	DeepSeek-V3.2 (Thinking)	Gemini 3.1 Pro
Company	DeepSeek	Google
Release Date	November 30, 2025	February 19, 2026
Parameters	685B	—
Multimodal	No	Yes
Context (input)	131K	1.0M
Context (output)	66K	66K
Input Price / 1M	$0.28	$2.50
Output Price / 1M	$0.42	$15.00
Average Score	0.9	0.8
Benchmarks
GPQA	0.8	0.9

Visual Benchmark Comparison

DeepSeek-V3.2 (Thinking)

Gemini 3.1 Pro

GPQA0.8 vs 0.9

0.8

0.9

Verdict

Gemini 3.1 Pro leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, Gemini 3.1 Pro — 0.8.

API Cost

DeepSeek-V3.2 (Thinking) is 25.0x cheaper: input $0.28/1M vs $2.50/1M tokens.

Context Window

Gemini 3.1 Pro supports a larger context: 1M vs 131K tokens.

Recency

Gemini 3.1 Pro is newer: released 2/19/2026 vs 11/30/2025.

More About These Models

DeepSeek-V3.2 (Thinking)

DeepSeek — specs, benchmarks, API

Gemini 3.1 Pro

Google — specs, benchmarks, API

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The DeepSeek-V3.2 (Thinking) and Gemini 3.1 Pro comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.2 (Thinking) or Gemini 3.1 Pro page. See also the complete list of AI model comparisons.