Meta
Llama 4 Maverick
Meta baseline for local deployment (available).
Scores
Quality
8.6/10
Speed
8/10
Ease of use
7.2/10
Value
9/10
Specifications
- Category
- Large Language Models (LLM)
- Pricing
- Free (open-source)
- Min VRAM
- 24 GB
- Rec. VRAM
- 48 GB
- Documentation
- Open ↗
Pros
- + Wide ecosystem
- + Good for local runs
Cons
- − Closed-source flagships still stronger on hard tasks
Similar models
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OpenAI flagship (GA since July 9, 2026): agentic coding leader, 88.8% on Terminal-Bench 2.1.
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Speed
8.2/10
Ease of use
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Value
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- + Strong reasoning
GPT-5.6 Terra
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Mid-tier GPT-5.6: price/quality balance, successor to GPT-5 Standard.
Quality
9.2/10
Speed
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Ease of use
8.2/10
Value
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GPT-5.6 Luna
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Fastest and cheapest GPT-5.6 tier for light tasks and high throughput.
Quality
8.4/10
Speed
9.5/10
Ease of use
8.5/10
Value
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- + High speed
- + Low cost
GPT-5.5
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Previous OpenAI flagship — stable fallback, cheaper than GPT-5.6.
Quality
9.1/10
Speed
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Value
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- + Stable fallback
- + Cheaper than 5.6
Claude Opus 4.8
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Quality
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Speed
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Claude Sonnet 5
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Anthropic mid-tier: agentic coding close to Opus 4.8 at a lower price.
Quality
9.4/10
Speed
8.5/10
Ease of use
8.2/10
Value
5/10
- + Near-Opus quality
- + 1M context