Qwen
Qwen3.8 27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Cost / 1M tokens
Low usage$0.20
input
$0.09
cached input
$2.50
output
Context Window
1M
Up to 236K max output
Architecture
27B dense
text + image + video → text
Quickstart & API
qwen/qwen3.8-27bBest for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Coding assistants
- Self-hosted AI
- Software engineering
Verified Evaluations
Benchmarks & Frontier Comparison
How Qwen3.8 27B compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.
| Benchmark (Metric) | Qwen3.8 27B | DeepSeek V4.1 Flash | GLM 5.3 | Kimi K3.1 Pro | Claude Opus 5.5 |
|---|---|---|---|---|---|
| Agentic & Software Engineering | |||||
| ChatOSS Agentic Coding Index (%) | 31.3% | 63.2% | 58.3% | 65% | 74.1% |
| SWE-Bench Verified (%) | 86% | 91.5% | 95.4% | 94.8% | 97% |
| DeepSWE v1.1 (Pass@1 %) | 42.2% | 77% | 69% | 73.5% | 74.2% |
| Vibe Code Bench v1.1 (%) | 64.8% | 87.7% | 78.1% | 88.4% | 90.3% |
| Terminal-Bench 4.0 (%) | 4.04% | 42.3% | 42% | 46.2% | 65.2% |
| Code Migration (%) | 14.16% | 45.6% | 44.2% | 52% | 66.7% |
| Intelligence & Token Economics | |||||
| Artificial Analysis Intelligence Index (0–100) | 33.7 | 39.5 | 44.8 | 55.1 | 57.6 |
| Input Price (/ 1M tokens) | $0.20 | $0.15 | $1.40 | $2.00 | $4.00 |
| Output Price (/ 1M tokens) | $2.50 | $0.60 | $4.40 | $10.00 | $20.00 |
ChatOSS Agentic Coding Index
ChatOSS Benchmark Audit · 4-benchmark composite mean
SWE-Bench Verified
Vals AI · Terminus 2
DeepSWE v1.1
DeepSWE / Official Audit · Mini-SWE-Agent
Vibe Code Bench v1.1
Vals.ai · OpenHands
Terminal-Bench 4.0
Vals.ai / Artificial Analysis · Terminus 2
Terminal-Bench 2.1
Vals.ai · Terminus 2
Code Migration
Vals.ai · Vals evaluation harness
Artificial Analysis Intelligence Index
Artificial Analysis
Active Provider Endpoints (21)
Upstream inference providers serving Qwen3.8 27B, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
Darkbloomcache darkbloom/fp4 | $0.035 | $2.20 | $0.018 | 262K | 33K | fp4 | 97.2% |
Chutescache chutes/fp8 | $0.039 | $1.25 | $0.0039 | 262K | 66K | fp8 | 99.9% |
Near AIcache near-ai/fp8 | $0.04 | $1.35 | $0.018 | 262K | 66K | fp8 | 100.0% |
Ionstreamcache ionstream/fp8 | $0.04 | $1.95 | $0.02 | 262K | 66K | fp8 | 98.9% |
Rekacache reka/fp8 | $0.04 | $2.20 | $0.02 | 262K | 236K | fp8 | 100.0% |
Modalcache modal | $0.04 | $2.30 | $0.02 | 262K | 236K | — | 100.0% |
DekaLLMcache dekallm | $0.04 | $2.50 | $0.02 | 262K | 236K | — | 100.0% |
Tenstorrentcache tenstorrent/fp4 | $0.06 | $0.50 | $0.015 | 262K | 66K | fp4 | 98.7% |
Wafercache wafer/fp8 | $0.06 | $2.30 | $0.059 | 262K | 236K | fp8 | 100.0% |
DeepInfracache deepinfra/bf16 | $0.15 | $1.88 | $0.037 | 262K | 236K | bf16 | 100.0% |
Mancer 2 mancer/fp8 | $0.18 | $2.50 | — | 262K | 236K | fp8 | 97.0% |
ModelRuncache modelrun/fp4 | $0.20 | $2.50 | $0.09 | 262K | 236K | fp4 | 100.0% |
Phalacache phala | $0.20 | $2.50 | $0.05 | 1M | 262K | — | 98.3% |
AkashMLcache akashml/fp8 | $0.225 | $1.98 | $0.05 | 262K | 131K | fp8 | 100.0% |
Parasailcache parasail/fp8 | $0.24 | $2.20 | $0.05 | 262K | 236K | fp8 | 99.9% |
CoreWeavecache coreweave/fp8 | $0.40 | $3.00 | $0.15 | 262K | 236K | fp8 | 99.9% |
Novitacache novita | $0.42 | $3.00 | $0.085 | 1M | 131K | — | 100.0% |
Alibaba alibaba | $0.425 | $2.55 | $0.085 | 1M | 131K | — | 91.1% |
Cloudflarecache cloudflare | $0.45 | $3.20 | $0.05 | 262K | 236K | — | 100.0% |
Venice venice/fp8 | $0.45 | $3.20 | — | 262K | 66K | fp8 | 100.0% |
Cerebrascache cerebras/fp16 | $0.99 | $1.49 | $0.99 | 66K | 33K | fp16 | 100.0% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
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