Capacity
Run Qwen3.8 Flash-Next on a 128 GB M5 Max with all 512 experts.
- 177Blogical model parameters, rounded
- 65,536tokens of input and output context
- 32,768maximum output tokens per response
UD-Q4_K_XL quantisation. Input and output share the context limit.
Speed
Recorded on 7th November 2026 with cached prompts on a 40-core M5 Max with 128 GB of memory.
- 148 tokens/secover the complete request
- 7.91 sto receive the complete code
The generated code passed type checking. Compare with llama.cpp.
Results
| Measure | Test | Result |
|---|---|---|
| Model parameters | Qwen3.8 Flash-Next, UD-Q4_K_XL. Rounded parameter count. | 177B |
| Context | Shared by input and output. | 65,536 |
| Maximum output | Per response, within the shared context limit. | 32,768 |
| Peak speed | Complete request for code that passed type checking. | 148 tokens/sec |
| Response time | Time to receive the complete code. | 7.91 s |
| Speed vs llama.cpp | Identical code on 2 tests. llama.cpp without a drafter. | 2.9× |
| Speed vs MLX-VLM | Same prompts and output length. | 3.1× |
| Weight repacking | Packed weights match the originals byte for byte. | 0 weights changed |
Methods and setup
Read the measurement method and the hardware target. Available builds are listed under Releases.