What is the best local model for coding on the Apple M2 Max?

On the Apple M2 Max, ornith-1.0-35b ranks first for coding in our benchmarks (74.4/100 at ~47.8 tok/s).

What is the best local model for agentic workflows on the Apple M2 Max?

On the Apple M2 Max, openai/gpt-oss-120b ranks first for agentic workflows in our benchmarks (89.1/100 at ~47.1 tok/s).

Hardware Benchmarks

Name: Apple M2 Max
Brand: Apple

Compare Apple M2 Max benchmark results and see which models actually earn the best completed quality scores.

GPU-specific specifications for local LLM planning.

Apple M2 Max

Models we recommend for Apple M2 Max.

Fastest & Best quality & Largest context

35B

47.8 tok/sQuality 82.6Context 8,192 tokens

Highest token generation speed at 47.8 tok/s. Highest completed quality score at 82.6. Largest context that fits in 96GB VRAM, at 8,192 tokens.

Which models actually run best on the Apple M2 Max, by task, from community benchmark data.

What is the best local model for coding on the Apple M2 Max?: On the Apple M2 Max, ornith-1.0-35b ranks first for coding in our benchmarks (74.4/100 at ~47.8 tok/s).
What is the best local model for agentic workflows on the Apple M2 Max?: On the Apple M2 Max, openai/gpt-oss-120b ranks first for agentic workflows in our benchmarks (89.1/100 at ~47.1 tok/s).

Completed quality-ranked benchmark results for Apple M2 Max.