llamaperf

KAT-Coder V2.5-Dev

Kwaipilot · 3 reports

KAT-Coder V2.5-Dev VRAM requirements by size and quant →

How does KAT-Coder V2.5-Dev run on your hardware?

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Reported performance for KAT-Coder V2.5-Dev

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KAT-Coder V2.5-Dev 35B (3B active)

Intel Arc 140V · vLLM · 131,072 ctx

Tone: positive
generation:
23.4-25.2 tokens/s
prompt processing (prefill):
398-500 tokens/s
quant:
W4A16 GPTQ (GPTQ)
kv:
FP8

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

coding

User benchmarks KAT-Coder-V2.5-Dev, a 35B MoE, on an Intel Arc 140V iGPU in an MSI Claw 8 AI+ handheld with 32 GB shared LPDDR5x. Setup is vLLM 0.31.0+xpu with W4A16 GPTQ weights, FP8 KV cache, 131072-token context and MTP speculative decoding with 2 draft tokens. GPTQ decodes at 23.4-25.2 tok/s, peaking at 29.1 tok/s, and finishes 164 HumanEval problems in 42m 12s versus 47m 33s for MXFP4. Prefill runs 51-140 tok/s on short prompts and 398-500 tok/s on 2k-4k prompts, with both quants hitting a 1,247.1 tok/s chunked-prefill ceiling. MTP accepts 2.55-2.71 tokens per step at a 77.3-82.5 acceptance rate, roughly doubling throughput from about 11 tok/s.

Oct 21, 2026

KAT-Coder V2.5-Dev

Unknown GPU · llama.cpp

Tone: positive
generation:
14.0 tokens/s
quant:
Q4_K_M (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

coding

User reports KAT-Coder V2.5-Dev at 14 t/s on an 8-core CPU with no GPU. Setup is llama.cpp with Q4_K_M GGUF weights. The user finds the result impressive for a small model on a potato iGPU and pure CPU, completing a solar system demo in under 10 minutes.

Oct 16, 2026
Tone: positiveNVIDIA hardware
generation:
14.2 tokens/s

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

codingagentic

User benchmarks a 25-task coding-agent benchmark on an RTX 3060 12GB. KAT-Coder completed 21/25 tasks and won. Qwen3.8-27B scored 13/25 at 14.73 tps, Nemotron 3.5 Lightning 30B-A3B 8/25 at 29.96 tps, Tiel-Coder 35B-A3B 3/25 strict at 20.57 tps, and Ternary-Bonsai-27B 0/25 at 59.21 tps. User plans to tweak settings to reach 18 tps.

Sep 9, 2026
Engines people run KAT-Coder V2.5-Dev with
EngineReports
llama.cpp1
vLLM1

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Reported configurations

Individual observations from this page, not expected speeds or a ranking. Select a model to open its report, with the source and offloading conditions. Reported context may be a limit rather than actual input length.

Model / hardwareQuant / engineReported contextGeneration
KAT-Coder V2.5-Dev 35B (3B active)
NVIDIA RTX 3060 12GB
Not reported
Engine not reported
Not reported14.2 tokens/s