Qwen3.8 27B

Qwen/Qwen3.8-27B

27BDenseText generationImage → textText inputImage input

Qwen · 22 recorded configurations

Measured setup

Every option opens a recorded setup. Where the corpus recorded nothing at this page's other settings, the option names the fields it switches with it. Allocation and runtime detail stay in the technical record below.

2× RTX 3090 · llama.cpp

Q4_K_M · MTP 4

PP · left axis · not measuredTG · right axis
View exact measurements
Exact context depth and measured fresh prefill, bulk prefix, and decode rates for Qwen3.8 27B Q4_K_M
Context depth (tokens)Fresh prefill PP (tok/s)TG (tok/s)
12—71.87
2,048—113.13
4,096—82.33
8,192—79.72
16,384—68.12
32,768—70.15
65,536—65.02
131,072—50.95
261,888—39.72
Technical record and provenance

Run details

Source run ID
rtx3090x2-qwen3.8-27b-q4km-mtp4-2026-09
Measured date
2026-09-10
Hardware
2× RTX 3090
Runtime
llamaCpp · llama-server 0.3.0-dev (build 50, commit fc6545d)
Weight placement
gpu-resident
Split ratio
1:1
KV-cache precision
Q8_0
Flash Attention
Enabled
Batch size
2,048
Microbatch size
2,048
Generated tokens
256
Speculative decoding
MTP · draft max 4
Measured repetitions
1
Notes
Live llama-server MTP sweep using the embedded draft-mtp head. One 32-token warm-up preceded each measured 256-token completion at each requested depth; one measured repetition. Prompt processing is intentionally omitted: the live prefilled-prompt protocol is not comparable to the llama-bench PP rows. The 261,888-token row is the actual measured prompt depth after the model context clamp.
Raw log path
research/benchmarks/logs/rtx3090x2/2026-09-10-qwen3.8-27b-q4km/

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