---
title: "Qwen: Qwen3.5-122B-A10B — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/qwen__qwen3.5-122b-a10b/
description: "Qwen: Qwen3.5-122B-A10B: $0.260/M in, $2.08/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# Qwen: Qwen3.5-122B-A10B — price, capability and what beats it · Undominated.ai

> Qwen: Qwen3.5-122B-A10B: $0.260/M in, $2.08/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / Qwen

# Qwen3.5-122B-A10B

Qwen · released 2026-02-25

 $0.715 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## MiniMax M3 is both better and cheaper.

It scores **+12.6** higher and costs **27% less** ($0.525/M against $0.715/M) on this workload — and it does everything this model does.

[DeepSeek V4 Flash 0731](/models/deepseek__deepseek-v4-flash-0731) is cheaper still (85% less) but drops no image, video input.

### Every price dimension

| Input | $0.260 /M |
| --- | --- |
| Output | $2.08 /M |

### Independent scores

| Intelligence | 32.8 |
| --- | --- |
| Coding | 45.7 |
| Agentic | 21.3 |
| LMArena Elo | 1417.9 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 | 262K |
| --- | --- |
| Max output | 66K |
| Input modes | text, image, video |
| Tool use | yes |
| Reasoning | optional |

### Provenance

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

The Qwen3.5 122B-A10B 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. In terms of...