Model benchmarks
mellum2.1-12b-a2.5b-thinking local LLM performance
As of October 2026, mellum2.1-12b-a2.5b-thinking runs at up to 98.3 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
12B
Peak speed
98.3 tok/s
Average speed
97.1 tok/s
Avg PP
1906.6 tok/s
Min memory
24.0 GB
Max context
131,072 tokens
Avg output / run
21,712 tokens
Avg runtime / run
5m 33s
Avg quality
67.9
Benchmark runs
3
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 3 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 | 64.6 | 67.9 | 70.6 |
| Agent Workflow | 73.5 | 75.5 | 77.6 |
| Code Generation | 40.2 | 52.6 | 62.0 |
| Role Play & Narrative | 62.0 | 69.5 | 74.4 |
| Research & Analysis | 68.9 | 74.0 | 78.9 |
Performance by hardware and tool
Every hardware/tool/quantization combination mellum2.1-12b-a2.5b-thinking 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 | BF16 | 98.3 tok/s | 97.1 tok/s | 24.0 GB | 131,072 tokens | 67.9 | 3 |
Benchmark runs
All 3 mellum2.1-12b-a2.5b-thinking runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is mellum2.1-12b-a2.5b-thinking good for agentic (tool-using) tasks?
- In our benchmarks, mellum2.1-12b-a2.5b-thinking scores 75.5/100 for agentic workflows. It runs at about 97.1 tok/s, so if you want more speed, qwen3.8-flash-next-iq3_s is faster (~116.8 tok/s) and still scores well for agentic workflows (88.4/100).
- How fast is mellum2.1-12b-a2.5b-thinking for local inference?
- Across 3 community benchmark runs, mellum2.1-12b-a2.5b-thinking reaches up to 98.3 tok/s and averages 97.1 tok/s, with the fastest results on Apple M5 Max.
- How much memory does mellum2.1-12b-a2.5b-thinking need?
- The leanest observed configuration used about 24.0 GB of memory (quantizations tested: BF16).
- Which tools have been used to run mellum2.1-12b-a2.5b-thinking?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.