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Qwen: Qwen3.5 397B A17B

qwen/qwen3.5-397b-a17b

Model weights

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 state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.

Modalities
In / out price
$0.39 / $2.34per 1M
Context
262K
Released
Feb 16, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input
$0.491/M tokens
Output
$3.018/M tokens
Price history
No effective price data for this selection

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Throughput
57tok/s

P50, best across providers

Latency
0.53s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchStreamLake86.7%--DigitalOcean88.0%79.8%Alibaba Cloud Int.86.8%80.6%auto-routing87.0%80.3%Phala87.6%79.7%
+5 more providers

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.65%

Availability over the last 3 days

Last 72 hours
Availability 99.65%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.87%
Without Routing
92.91%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Qwen: Qwen3.5 397B A17B (Artificial Analysis, Design Arena and Vals AI)
SourceBenchmarkScore
Artificial AnalysisQwen3.5 397B A17B (Non-reasoning) GPQA Diamond86.1%
Artificial AnalysisQwen3.5 397B A17B (Non-reasoning) HLE19.8%
Artificial AnalysisQwen3.5 397B A17B (Non-reasoning) IFBench51.6%
Artificial AnalysisQwen3.5 397B A17B (Non-reasoning) τ²-Bench Telecom83.9%
Artificial AnalysisQwen3.5 397B A17B (Non-reasoning) AA-LCR64.3%
Artificial AnalysisQwen3.5 397B A17B (Non-reasoning) CritPt0.9%
Artificial AnalysisQwen3.5 397B A17B (Non-reasoning) Terminal-Bench Hard35.6%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) Coding Index48.2
Artificial AnalysisQwen3.5 397B A17B (Reasoning) Agentic Index8.3
Artificial AnalysisQwen3.5 397B A17B (Reasoning) GPQA Diamond89.3%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) HLE29.0%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) IFBench78.8%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) τ²-Bench Telecom95.6%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) AA-LCR77.3%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) τ-Bench Banking13.4%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) GDPval-AA15.0%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) CritPt1.7%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) SciCode44.8%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) Terminal-Bench Hard40.9%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) Terminal-Bench 4.00.0%
Artificial AnalysisQwen3.5 397B A17B (Reasoning) Terminal-Bench 2.151.3%
Design ArenaQwen3.5 397B A17B Models Arena 3D Elo1141
Design ArenaQwen3.5 397B A17B Models Arena Code Categories Elo1169
Design ArenaQwen3.5 397B A17B Models Arena Data Visualization Elo1172
Design ArenaQwen3.5 397B A17B Models Arena Game Development Elo1130
Design ArenaQwen3.5 397B A17B Models Arena SVG Elo1128
Design ArenaQwen3.5 397B A17B Models Arena UI Component Elo1154
Design ArenaQwen3.5 397B A17B Models Arena Website Elo1183
Vals AIQwen 3.5 397B A17B SAGE85.5%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

1.
Favicon for https://claude.ai/apple-touch-icon.png
Claude Code
947Mtokens
2.
Favicon for https://openclaw.ai/
OpenClaw
915Mtokens
3.
681Mtokens
4.
Favicon for https://nousresearch.com
Hermes Agent
485Mtokens
5.
Favicon for https://pi.dev/
pi
280Mtokens
Rest of OpenRouter
3.69B
Top 5 Apps
21.8M

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

Frequently asked questions