Model benchmarks
Darwin-28B-REASON.i1-IQ3_XXS local LLM performance
As of October 2026, Darwin-28B-REASON.i1-IQ3_XXS runs at up to 38.4 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
28B
Peak speed
38.4 tok/s
Average speed
38.4 tok/s
Avg PP
586.9 tok/s
Min memory
16.2 GB
Max context
65,536 tokens
Avg output / run
8,660 tokens
Avg runtime / run
3m 56s
Avg quality
72.1
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 | 71.3 | 72.1 | 73.0 |
| Agent Workflow | 62.7 | 68.2 | 73.8 |
| Code Generation | 54.8 | 59.8 | 64.8 |
| Role Play & Narrative | 82.1 | 83.4 | 84.6 |
| Research & Analysis | 73.1 | 77.2 | 81.3 |
Performance by hardware and tool
Every hardware/tool/quantization combination Darwin-28B-REASON.i1-IQ3_XXS 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 |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7800 XT | llama.cpp | — | 38.4 tok/s | 38.4 tok/s | 16.2 GB | 65,536 tokens | 72.1 | 2 |
Benchmark runs
All 2 Darwin-28B-REASON.i1-IQ3_XXS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Darwin-28B-REASON.i1-IQ3_XXS good for coding?
- In our benchmarks, Darwin-28B-REASON.i1-IQ3_XXS scores 59.8/100 for coding. It runs at about 38.4 tok/s, so if you want more speed, K2-Horizon-MoVA-36B-A4B-MLX-4bit is faster (~48.5 tok/s) and still scores well for coding (82.5/100).
- Is Darwin-28B-REASON.i1-IQ3_XXS good for agentic (tool-using) tasks?
- In our benchmarks, Darwin-28B-REASON.i1-IQ3_XXS scores 68.2/100 for agentic workflows. It runs at about 38.4 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
- How fast is Darwin-28B-REASON.i1-IQ3_XXS for local inference?
- Across 2 community benchmark runs, Darwin-28B-REASON.i1-IQ3_XXS reaches up to 38.4 tok/s and averages 38.4 tok/s, with the fastest results on AMD Radeon RX 7800 XT.
- How much memory does Darwin-28B-REASON.i1-IQ3_XXS need?
- The leanest observed configuration used about 16.2 GB of memory.
- Which tools have been used to run Darwin-28B-REASON.i1-IQ3_XXS?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.