---
title: "Qwen: Qwen3.5-Flash — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/qwen__qwen3.5-flash-02-23/
description: "Qwen: Qwen3.5-Flash: $0.065/M in, $0.260/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# Qwen: Qwen3.5-Flash — price, capability and what beats it · Undominated.ai

> Qwen: Qwen3.5-Flash: $0.065/M in, $0.260/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / Qwen

# Qwen3.5-Flash

Qwen · released 2026-02-25

 $0.114 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## No independent quality score.

No benchmark we track has measured this model. That is not the same as measuring it and finding it wanting — we simply cannot rank it, so we do not.

### Every price dimension

| Input | $0.065 /M |
| --- | --- |
| Output | $0.260 /M |

### Independent scores

| LMArena Elo | 1397.6 default |
| --- | --- |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

### Capability

| Context window | 1M |
| --- | --- |
| Max output | 66K |
| Input modes | text, image, video |
| Tool use | yes |
| Reasoning | optional |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | unrated |

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...