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Model comparison 2026

DeepSeek V3.2 vs GPT-6.1 Sol

DeepSeek V3.2
DeepSeek · Balanced · Open weights
$0.42/1M · 164K ctx
GPT-6.1 Sol
OpenAI · Balanced · Proprietary
$4.40/1M · 1.1M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

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 money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
DeepSeek V3.2
GPT-6.1 Sol
Maker
DeepSeek
OpenAI
Blended price / 1M
$0.42
$4.40
Input / output
$0.26 in · $0.80 out / 1M tokens
$2.00 in · $10 out / 1M tokens
Context window
164K
1.1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.6
9.6
Agentic Ability
7.4
9.7
Speed
7.8
7.0
Value for money
9.4
9.0
Reliability
8.6
9.3

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

Verdict: DeepSeek V3.2 or GPT-6.1 Sol?

Updated 2026-10-13

Choose DeepSeek V3.2 if you want dependable open-weight output on a tight budget. Choose GPT-6.1 Sol if you want the default OpenAI model for coding agents, from routine changes to hard tasks.

In our editorial scoring, GPT-6.1 Sol 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 $0.42 per 1M tokens (blended) and is open-weight; GPT-6.1 Sol is about $4.40 and proprietary.

Where DeepSeek V3.2 falls short
  • Shorter 128K context
  • Superseded by V4 on quality
Full DeepSeek V3.2 breakdown →
Where GPT-6.1 Sol falls short
  • Slower than GPT-6 Sol at max effort (about 65 output tokens/s)
  • Prompts over 272K tokens are billed at higher rates
Full GPT-6.1 Sol breakdown →

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