Standard Compute
Model comparison 2026

DeepSeek R1 (0528) vs GPT-6.1 Sol

DeepSeek R1 (0528)
DeepSeek · Balanced · Open weights
$0.99/1M · 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 R1
GPT-6.1 Sol
Maker
DeepSeek
OpenAI
Blended price / 1M
$0.99
$4.40
Input / output
$0.50 in · $2.15 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
7.5
9.6
Agentic Ability
7.0
9.7
Speed
6.8
7.0
Value for money
8.6
9.0
Reliability
8.6
9.3

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

Verdict: DeepSeek R1 or GPT-6.1 Sol?

Updated 2026-10-13

Choose DeepSeek R1 (0528) if you want reasoning-heavy planning where cost matters. 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 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while DeepSeek R1 (0528) leads in 0. On price, DeepSeek R1 (0528) runs about $0.99 per 1M tokens (blended) and is open-weight; GPT-6.1 Sol is about $4.40 and proprietary.

Where DeepSeek R1 falls short
  • Slow due to long reasoning
  • Weaker at fast tool loops
Full DeepSeek R1 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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