Model Comparison 2026

DeepSeek V3.2 vs GPT-5.5

DeepSeek V3.2
DeepSeek · Balanced · Open weights
$0.26/1M · 131K ctx
GPT-5.5
OpenAI · Frontier · Proprietary
$13/1M · 1.1M 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 V3.2
GPT-5.5
Maker
DeepSeek
OpenAI
Blended price / 1M
$0.26
$13
Input / output
$0.23 in · $0.34 out / 1M tokens
$5.00 in · $30 out / 1M tokens
Context window
131K
1.1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.6
9.6
Agentic Ability
7.4
9.5
Speed
7.8
7.0
Value for $
9.4
7.5
Reliability
8.6
9.0

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

Verdict: DeepSeek V3.2 or GPT-5.5?

Updated 2026-06-22

Choose DeepSeek V3.2 if you want dependable open-weight output on a tight budget. Choose GPT-5.5 if you want hard reasoning and coding for teams in the OpenAI ecosystem.

In our editorial scoring, GPT-5.5 leads in 3 of five dimensions (output quality, agentic ability and reliability), while DeepSeek V3.2 leads in 2. On price, DeepSeek V3.2 runs about $0.26 per 1M tokens (blended) and is open-weight; GPT-5.5 is about $13 and proprietary.

Where DeepSeek V3.2 falls short
  • Shorter 128K context
  • Superseded by V4 on quality
Full DeepSeek V3.2 breakdown →
Where GPT-5.5 falls short
  • Premium pricing
  • Slower than mini/flash tiers
Full GPT-5.5 breakdown →

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