Standard Compute
Model Comparison 2026

DeepSeek R1 (0528) vs DeepSeek V3.2

DeepSeek R1 (0528)
DeepSeek · Balanced · Open weights
$0.99/1M · 164K ctx
DeepSeek V3.2
DeepSeek · Balanced · Open weights
$0.31/1M · 164K ctx

Community Vote

Pick a winner in each dimension — change your vote anytime.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
DeepSeek R1
DeepSeek V3.2
Maker
DeepSeek
DeepSeek
Blended price / 1M
$0.99
$0.31
Input / output
$0.50 in · $2.15 out / 1M tokens
$0.27 in · $0.40 out / 1M tokens
Context window
164K
164K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.5
7.6
Agentic Ability
7.0
7.4
Speed
6.8
7.8
Value for $
8.6
9.4
Reliability
8.6
8.6

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: DeepSeek R1 or DeepSeek V3.2?

Updated 2026-08-02

Choose DeepSeek R1 (0528) if you want reasoning-heavy planning where cost matters. Choose DeepSeek V3.2 if you want dependable open-weight output on a tight budget.

In our editorial scoring, DeepSeek V3.2 leads in 4 of five dimensions (output quality, agentic ability, speed and value for $), while DeepSeek R1 (0528) leads in 0. On price, DeepSeek R1 (0528) runs about $0.99 per 1M tokens (blended) and is open-weight; DeepSeek V3.2 is about $0.31 and open-weight.

Where DeepSeek R1 falls short
  • Slow due to long reasoning
  • Weaker at fast tool loops
Full DeepSeek R1 breakdown →
Where DeepSeek V3.2 falls short
  • Shorter 128K context
  • Superseded by V4 on quality
Full DeepSeek V3.2 breakdown →

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