Model Comparison 2026

DeepSeek R1 (0528) vs GPT-5.6 Sol

DeepSeek R1 (0528)
DeepSeek · Balanced · Open weights
$0.99/1M · 164K ctx
GPT-5.6 Sol
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 R1
Sol
Maker
DeepSeek
OpenAI
Blended price / 1M
$0.99
$13
Input / output
$0.50 in · $2.15 out / 1M tokens
$5.00 in · $30 out / 1M tokens
Context window
164K
1.1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.5
9.7
Agentic Ability
7.0
9.6
Speed
6.8
7.4
Value for $
8.6
7.8
Reliability
8.6
9.3

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

Verdict: DeepSeek R1 or Sol?

Updated 2026-07-17

Choose DeepSeek R1 (0528) if you want reasoning-heavy planning where cost matters. Choose GPT-5.6 Sol if you want hard coding and research tasks for teams in the OpenAI ecosystem.

In our editorial scoring, GPT-5.6 Sol leads in 4 of five dimensions (output quality, agentic ability, speed and reliability), while DeepSeek R1 (0528) leads in 1. On price, DeepSeek R1 (0528) runs about $0.99 per 1M tokens (blended) and is open-weight; GPT-5.6 Sol is about $13 and proprietary.

Where DeepSeek R1 falls short
  • Slow due to long reasoning
  • Weaker at fast tool loops
Full DeepSeek R1 breakdown →
Where Sol falls short
  • Very new — real-world agent track record still forming
  • Slower and pricier than Terra for routine work
Full Sol breakdown →

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