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Qwen: Qwen3.5 Plus 2026-02-15

qwen/qwen3.5-plus-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of task evaluations, the 3.5 series consistently demonstrates performance on par with state-of-the-art leading models. Compared to the 3 series, these models show a leap forward in both pure-text and multimodal capabilities.

Modalities
In / out price
$0.26 / $1.56per 1M
Context
1.0M
Released
Feb 16, 2026

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

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
$0.2766/M tokens
Output
$1.56/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
52tok/s

P50, best across providers

Latency
1.43s

P50, best provider

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.
99.48%

Availability over the last 3 days

Last 72 hours
Availability 99.48%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.60%

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 Plus 2026-02-15 (Design Arena)
SourceBenchmarkScore
Design ArenaQwen3.5 Plus 02-15 Models Arena 3D Elo1097
Design ArenaQwen3.5 Plus 02-15 Models Arena Asciiart Elo1089
Design ArenaQwen3.5 Plus 02-15 Models Arena Code Categories Elo1156
Design ArenaQwen3.5 Plus 02-15 Models Arena Data Visualization Elo1134
Design ArenaQwen3.5 Plus 02-15 Models Arena Game Development Elo1094
Design ArenaQwen3.5 Plus 02-15 Models Arena SVG Elo1099
Design ArenaQwen3.5 Plus 02-15 Models Arena UI Component Elo1169
Design ArenaQwen3.5 Plus 02-15 Models Arena Website Elo1179

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://openclaw.ai/
OpenClaw
1.65Btokens
3.
248Mtokens
4.
228Mtokens
5.
Favicon for https://nousresearch.com
Hermes Agent
214Mtokens
Rest of OpenRouter
363M
Top 5 Apps
71.1M

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