About
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
Related Models
Pricing
Input
$0.20
per 1M tokens
Output
$1.56
per 1M tokens
Blended
$0.54
per 1M tokens
Cheaper than 50% of models. Median price is $0.54/1M tokens.
Cost Calculator
Tokens per day1M
100K100M
Daily
$0.54
Monthly
$16.09
vs. Similar Models
Z.ai: GLM 4.7Q:0.0
$0.74+38%
MiniMax: MiniMax M2.5Q:-0.1
$0.21-61%
Qwen: Qwen3.5 397B A17BQ:-0.1
$0.90+68%
Claude 4.1 Opus (Reasoning)Q:-0.1
$30.00+5494%
Performance
84
tokens/sec
Faster than 43% of models
1.41
seconds
Faster than 36% of models
25.25
seconds
Faster than 20% of models
Market Median
94 tok/s
11% slower
Median TTFT
1.11s
27% slower
Throughput/Dollar
156
tok/s per $/1M
Speed Comparison
DeepSeek V4 Pro (Non-reasoning)
84 tok/s-0%
DeepSeek V4 Pro
84 tok/s-0%
Mistral Medium
85 tok/s+1%
Context Window
262K
tokens
Larger than 62% of models
Max Output
66K
tokens
25% of context
Benchmarks
MMLU-ProNot evaluated
GPQA Diamond
85.8%
HLE
22.2%
LiveCodeBenchNot evaluated
SciCode
39.5%
TerminalBench Hard
32.6%
MATH-500Not evaluated
AIMENot evaluated
AIME 2025Not evaluated
IFBench
75.6%
Long Context Recall
67.3%
Tau2
93.9%
Market AverageTop Score
Open Source
apache-2.027BGGUF / GPTQ / AWQ
Downloads
2.6M
Likes
996
VRAM (FP16)
24-48 GB
GPU
A6000 / M3 Ultra