Model comparison 2026

GPT-6 Luna vs Llama 4 Maverick

GPT-6 Luna
OpenAI · Budget · Proprietary
$0.22/1M · 1.1M ctx
Llama 4 Maverick
Meta · Budget · Open weights
$0.33/1M · 1.0M 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
GPT-6 Luna
Llama 4 Maverick
Maker
OpenAI
Meta
Blended price / 1M
$0.22
$0.33
Input / output
$0.10 in · $0.50 out / 1M tokens
$0.19 in · $0.65 out / 1M tokens
Context window
1.1M
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
8.7
7.2
Agentic Ability
8.5
7.2
Speed
9.3
8.6
Value for money
9.4
9.2
Reliability
9.1
8.8

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

Verdict: GPT-6 Luna or Llama 4 Maverick?

Updated 2026-10-13

Choose GPT-6 Luna if you want cheap, fast subtasks, routing and subagents in OpenAI-based stacks. Choose Llama 4 Maverick if you want self-hosted agents that want the Llama ecosystem.

In our editorial scoring, GPT-6 Luna leads in 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while Llama 4 Maverick leads in 0. On price, GPT-6 Luna runs about $0.22 per 1M tokens (blended) and is proprietary; Llama 4 Maverick is about $0.33 and open-weight.

Where GPT-6 Luna falls short
  • Weak on long agentic runs (16.4% on Terminal-Bench 4.0)
  • Clear quality step below GPT-6.1 Sol
Full GPT-6 Luna breakdown →
Where Llama 4 Maverick falls short
  • Behind frontier models on quality
  • Tool use less polished
Full Llama 4 Maverick breakdown →

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