Model benchmarks
moonshotai_kimi-linear-48b-a3b-instruct local LLM performance
As of October 2026, moonshotai_kimi-linear-48b-a3b-instruct runs at up to 111.2 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
48B
Peak speed
111.2 tok/s
Average speed
109.2 tok/s
Avg PP
1888.3 tok/s
Min memory
28.0 GB
Max context
131,072 tokens
Avg output / run
4,800 tokens
Avg runtime / run
53s
Avg quality
61.4
Benchmark runs
2
GPUs tested
1
Quality by task
Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 60.6 | 61.4 | 62.3 |
| Agent Workflow | 61.6 | 63.7 | 65.9 |
| Code Generation | 51.4 | 52.7 | 54.0 |
| Role Play & Narrative | 72.1 | 74.1 | 76.1 |
| Research & Analysis | 50.3 | 55.2 | 60.0 |
Performance by hardware and tool
Every hardware/tool/quantization combination moonshotai_kimi-linear-48b-a3b-instruct has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | LM Studio | Q4_K_S | 111.2 tok/s | 109.2 tok/s | 28.0 GB | 131,072 tokens | 61.4 | 2 |
Benchmark runs
All 2 moonshotai_kimi-linear-48b-a3b-instruct runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is moonshotai_kimi-linear-48b-a3b-instruct good for coding?
- In our benchmarks, moonshotai_kimi-linear-48b-a3b-instruct scores 52.7/100 for coding. It runs at about 109.2 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
- Is moonshotai_kimi-linear-48b-a3b-instruct good for agentic (tool-using) tasks?
- In our benchmarks, moonshotai_kimi-linear-48b-a3b-instruct scores 63.7/100 for agentic workflows. It runs at about 109.2 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~162.4 tok/s) and still scores well for agentic workflows (87.8/100).
- How fast is moonshotai_kimi-linear-48b-a3b-instruct for local inference?
- Across 2 community benchmark runs, moonshotai_kimi-linear-48b-a3b-instruct reaches up to 111.2 tok/s and averages 109.2 tok/s, with the fastest results on Apple M5 Max.
- How much memory does moonshotai_kimi-linear-48b-a3b-instruct need?
- The leanest observed configuration used about 28.0 GB of memory (quantizations tested: Q4_K_S).
- Which tools have been used to run moonshotai_kimi-linear-48b-a3b-instruct?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.