Model Comparison 2026

DeepSeek V4 Flash vs GPT-5.6 Luna

DeepSeek V4 Flash
DeepSeek · Budget · Open weights
$0.13/1M · 1.0M ctx
GPT-5.6 Luna
OpenAI · Budget · Proprietary
$2.50/1M · 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 V4 Flash
Luna
Maker
DeepSeek
OpenAI
Blended price / 1M
$0.13
$2.50
Input / output
$0.10 in · $0.20 out / 1M tokens
$1.00 in · $6.00 out / 1M tokens
Context window
1.0M
1.1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.2
8.4
Agentic Ability
8.1
8.3
Speed
9.0
9.3
Value for $
10.0
9.0
Reliability
8.9
9.1

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

Verdict: DeepSeek V4 Flash or Luna?

Updated 2026-07-17

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

In our editorial scoring, GPT-5.6 Luna leads in 4 of five dimensions (output quality, agentic ability, speed and reliability), while DeepSeek V4 Flash leads in 1. On price, DeepSeek V4 Flash runs about $0.13 per 1M tokens (blended) and is open-weight; GPT-5.6 Luna is about $2.50 and proprietary.

Where DeepSeek V4 Flash falls short
  • Not for the hardest tasks
  • Quality below V4 Pro
Full DeepSeek V4 Flash breakdown →
Where Luna falls short
  • Clear quality step below Terra and Sol
  • Very new — behavior under long agent chains still settling
Full Luna breakdown →

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