Model Comparison 2026

Gemini 3.1 Flash Lite vs GPT-5.6 Luna

Gemini 3.1 Flash Lite
Google · Budget · Proprietary
$0.63/1M · 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
Flash Lite
Luna
Maker
Google
OpenAI
Blended price / 1M
$0.63
$2.50
Input / output
$0.25 in · $1.50 out / 1M tokens
$1.00 in · $6.00 out / 1M tokens
Context window
1.0M
1.1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.4
8.4
Agentic Ability
7.2
8.3
Speed
9.6
9.3
Value for $
8.6
9.0
Reliability
8.5
9.1

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

Verdict: Flash Lite or Luna?

Updated 2026-07-17

Choose Gemini 3.1 Flash Lite if you want cheap, high-volume steps that still need long context. 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, value for $ and reliability), while Gemini 3.1 Flash Lite leads in 1. On price, Gemini 3.1 Flash Lite runs about $0.63 per 1M tokens (blended) and is proprietary; GPT-5.6 Luna is about $2.50 and proprietary.

Where Flash Lite falls short
  • Lowest quality of the Gemini line
  • Struggles on complex multi-step tasks
Full Flash Lite 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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