Standard Compute
Model comparison 2026

DeepSeek V4.1 Flash vs GPT-5.6 Luna

DeepSeek V4.1 Flash
DeepSeek · Budget · Open weights
$0.22/1M · 1.0M ctx
GPT-5.6 Luna
OpenAI · Budget · Proprietary
$0.50/1M · 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 V4.1 Flash
GPT-5.6 Luna
Maker
DeepSeek
OpenAI
Blended price / 1M
$0.22
$0.50
Input / output
$0.04 in · $0.63 out / 1M tokens
$0.20 in · $1.20 out / 1M tokens
Context window
1.0M
1.1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.8
8.4
Agentic Ability
8.8
8.3
Speed
9.4
9.3
Value for money
10.0
9.0
Reliability
8.8
9.1

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

Verdict: DeepSeek V4.1 Flash or GPT-5.6 Luna?

Updated 2026-10-13

Choose DeepSeek V4.1 Flash if you want cheap, high-volume open-weight agent work. Choose GPT-5.6 Luna if you want cheap, fast subtasks, routing, and subagents in OpenAI-based stacks.

In our editorial scoring, DeepSeek V4.1 Flash leads in 4 of five dimensions (output quality, agentic ability, speed and value for money), while GPT-5.6 Luna leads in 1. On price, DeepSeek V4.1 Flash runs about $0.22 per 1M tokens (blended) and is open-weight; GPT-5.6 Luna is about $0.50 and proprietary.

Where DeepSeek V4.1 Flash falls short
  • Well below the frontier on long agentic tasks
  • DeepSeek API prices differ between peak and off-peak hours
Full DeepSeek V4.1 Flash breakdown →
Where GPT-5.6 Luna falls short
  • Clear quality step below Terra and Sol
  • Superseded by GPT-6 Luna, which is cheaper ($0.10/$0.50) and stronger
Full GPT-5.6 Luna breakdown →

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