Qwen
Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Cost / 1M tokens
Medium usage$0.50
input
$0.30
cached input
$3.60
output
Context Window
262K
Up to 236K max output
Modalities
text, image, video → text
Qwen3 tokenizer
Quickstart & API
qwen/qwen3.5-397b-a17bBest for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Coding agents
- Complex reasoning & debugging
- Screenshot-to-code workflows
Verified Evaluations
Benchmarks & Frontier Comparison
How Qwen3.5 397B A17B compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.
| Benchmark (Metric) | Qwen3.5 397B A17B | DeepSeek V4.1 Flash | GLM 5.3 | Kimi K3.1 Pro | Claude Opus 5.5 |
|---|---|---|---|---|---|
| Agentic & Software Engineering | |||||
| ChatOSS Agentic Coding Index (%) | — | 63.2% | 58.3% | 65% | 74.1% |
| SWE-Bench Verified (%) | — | 91.5% | 95.4% | 94.8% | 97% |
| DeepSWE v1.1 (Pass@1 %) | — | 77% | 69% | 73.5% | 74.2% |
| Vibe Code Bench v1.1 (%) | — | 87.7% | 78.1% | 88.4% | 90.3% |
| Terminal-Bench 4.0 (%) | — | 42.3% | 42% | 46.2% | 65.2% |
| Code Migration (%) | — | 45.6% | 44.2% | 52% | 66.7% |
| Intelligence & Token Economics | |||||
| Artificial Analysis Intelligence Index (0–100) | 21.4 | 39.5 | 44.8 | 55.1 | 57.6 |
| Input Price (/ 1M tokens) | $0.50 | $0.15 | $1.40 | $2.00 | $4.00 |
| Output Price (/ 1M tokens) | $3.60 | $0.60 | $4.40 | $10.00 | $20.00 |
Artificial Analysis Intelligence Index
Artificial Analysis
Design Arena: 3D
Design Arena · Rank #65 (56.7% win)
Design Arena: Code Generation
Design Arena · Rank #70 (52.6% win)
Design Arena: Data Visualization
Design Arena · Rank #70 (53.2% win)
Design Arena: Game Dev
Design Arena · Rank #80 (50.2% win)
Active Provider Endpoints (10)
Upstream inference providers serving Qwen3.5 397B A17B, 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) |
|---|---|---|---|---|---|---|---|
Alibaba alibaba | $0.39 | $2.34 | — | 262K | 66K | — | 100.0% |
DeepInfracache deepinfra/fp8 | $0.45 | $3.00 | $0.22 | 262K | 82K | fp8 | 99.6% |
Parasailcache parasail/fp8 | $0.50 | $3.60 | $0.30 | 262K | 236K | fp8 | 100.0% |
DigitalOceancache digitalocean | $0.55 | $3.50 | $0.11 | 131K | 118K | — | 82.7% |
Phalacache phala | $0.55 | $3.50 | $0.225 | 262K | 236K | — | 96.7% |
AtlasCloudcache atlas-cloud/fp8 | $0.55 | $3.50 | $0.55 | 262K | 66K | fp8 | 93.9% |
StreamLakecache streamlake | $0.60 | $3.60 | $0.12 | 256K | 64K | — | 97.3% |
GMICloud gmicloud/fp8 | $0.60 | $3.60 | — | 262K | 236K | fp8 | 83.7% |
Novita novita | $0.60 | $3.60 | — | 262K | 66K | — | 95.0% |
Venice venice | $0.75 | $4.50 | — | 128K | 33K | — | 95.6% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
Compare Similar Models
Browse all models →Qwen
Qwen3.8 Max Prime
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. It accepts text, image, and video...
Qwen
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
Qwen
Qwen3.8 Max (0902)
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
Qwen
Qwen3.8 Flash
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Anthropic
Claude Opus 5.5
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
Moonshot AI
Kimi K3.1 Pro
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...