---
title: "Cheaper alternatives to Qwen3.5-122B-A10B · Undominated.ai"
canonical: https://undominated.ai/alternatives/qwen__qwen3.5-122b-a10b/
description: "24 models score at least as high as Qwen3.5-122B-A10B and cost no more on a balanced workload. 1 give up nothing measurable; the other 23 name what they drop. Measured prices and independent scores."
---

# Cheaper alternatives to Qwen3.5-122B-A10B · Undominated.ai

> 24 models score at least as high as Qwen3.5-122B-A10B and cost no more on a balanced workload. 1 give up nothing measurable; the other 23 name what they drop. Measured prices and independent scores.

# Cheaper alternatives to Qwen3.5-122B-A10B

Qwen · LMArena 1417.9 · $0.715/M on a balanced workload · prices as of 2026-08-28

## 1 model is both better and cheaper, giving up nothing.

Of the 133 models carrying both an independent score and a published price at the same delivery mode, **24** score at least as high as Qwen3.5-122B-A10B and cost no more under at least one workload. **1** matches or beats it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. **23** do not, and every row names what it drops.

Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.

This page is built from that comparison and nothing else. When no model is both better and cheaper than Qwen3.5-122B-A10B, it is not generated.

## Where it holds

| Workload | Qwen3.5-122B-A10B $/M | Better and cheaper | With a trade |
| --- | --- | --- | --- |
| Balanced | $0.715 | 1 | 14 |
| Summarise | $0.351 | 1 | 15 |
| Chat | $0.988 | 1 | 20 |
| Code gen | $1.35 | 1 | 19 |
| Agentic | $0.533 | 1 | 21 |

Workload mixes are defined on the [methodology page](/methodology/). Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.

## What you would be replacing

| Intelligence | 1417.9 |
| --- | --- |
| Context window | 262K |
| Max output | 236K |
| Input modes | text, image, video |
| Tool use | yes |
| Extended reasoning | yes |

A replacement has to clear every line above, not just the score. [Full record for Qwen3.5-122B-A10B](/models/qwen__qwen3.5-122b-a10b/).

## Better and cheaper, nothing given up 1

Each of these matches or beats Qwen3.5-122B-A10B on context, maximum output, input modes, tool use and reasoning, scores at least as high, and costs no more.

| # | Model | Intelligence | $/M | Holds under |
| --- | --- | --- | --- | --- |
| 1 | MiniMax M3 MiniMax | 1434.8 +16.9 | $0.525 | Balanced −27% Summarise −21% Chat −40% Code gen −39% Agentic −45% |

## Cheaper and higher-scoring, but you give something up 23

These score at least as high and cost no more on the two plotted axes, and lose something that is not on them. Read the last column before switching.

| Model | Intelligence | $/M | Holds under | What you give up |
| --- | --- | --- | --- | --- |
| MiMo-V2.5-Pro Xiaomi | 1465 +47.1 | $0.544 | Balanced −24% Summarise −5% Chat −51% Code gen −51% Agentic −54% | 236K → 131K max output no image, video input |
| Qwen3.7 Plus Qwen | 1456.2 +38.3 | $0.560 | Balanced −22% Summarise −16% Chat −37% Code gen −35% Agentic −42% | 236K → 131K max output no video input |
| Gemma 4 31B Google | 1441.7 +23.8 | $0.152 | Balanced −79% Summarise −74% Chat −82% Code gen −82% Agentic −81% | 236K → 16K max output |
| Hy3 Tencent | 1441.2 +23.3 | $0.144 | Balanced −80% Summarise −78% Chat −84% Code gen −83% Agentic −84% | 236K → 128K max output no image, video input |
| Gemma 4 26B A4B Google | 1434.6 +16.7 | $0.138 | Balanced −81% Summarise −76% Chat −82% Code gen −83% Agentic −79% | 236K → 16K max output |
| DeepSeek V4 Flash 0423 DeepSeek | 1431.6 +13.7 | $0.101 | Balanced −86% Summarise −81% Chat −90% Code gen −91% Agentic −90% | no image, video input |
| MiMo-V2.5 Xiaomi | 1427.3 tie | $0.175 | Balanced −76% Summarise −69% Chat −84% Code gen −84% Agentic −85% | 236K → 131K max output |
| GPT-5.6 Luna OpenAI | 1428.5 tie | $0.450 | Balanced −37% Summarise −43% Chat −45% Code gen −42% Agentic −54% | 236K → 128K max output no video input |
| DeepSeek V3.2 DeepSeek | 1424.6 tie | $0.290 | Balanced −59% Summarise −35% Chat −73% Code gen −76% Agentic −62% | 262K → 164K context 236K → 147K max output no image, video input |
| DeepSeek V3.2 Exp DeepSeek | 1424.4 tie | $0.305 | Balanced −57% Summarise −21% Chat −67% Code gen −74% Agentic −45% | 262K → 164K context 236K → 66K max output no image, video input |
| Qwen3 235B A22B Instruct 2507 Qwen | 1419.3 tie | $0.205 | Balanced −71% Summarise −68% Chat −72% Code gen −73% Agentic −70% | 236K → 16K max output no image, video input no extended reasoning |
| Qwen3 Next 80B A3B Instruct Qwen | 1418.6 tie | $0.350 | Balanced −51% Summarise −60% Chat −50% Code gen −48% Agentic −56% | no image, video input no extended reasoning |
| DeepSeek V3.1 Terminus DeepSeek | 1419.6 tie | $0.453 | Balanced −37% Summarise −24% Chat −47% Code gen −48% Agentic −44% | 262K → 164K context 236K → 33K max output no image, video input |
| Qwen3 VL 235B A22B Instruct Qwen | 1420.9 tie | $0.632 | Balanced −12% Summarise −25% Chat −14% Code gen −10% Agentic −25% | 236K → 33K max output no video input no extended reasoning |
| Gemini 3.7 Flash Google | 1490.2 +72.3 | $0.874 chat | Chat −12% Code gen −8% Agentic −25% | 236K → 66K max output |
| Kimi K2.5 Moonshot AI | 1445.2 +27.3 | $0.494 agentic | Agentic −7% | no video input |
| GLM 5 Z.ai | 1445.2 +27.3 | $0.984 chat | Chat under 1% less Agentic −4% | 262K → 205K context 236K → 128K max output no image, video input |
| GLM 4.6 Z.ai | 1439.8 +21.9 | $0.980 chat | Chat −1% Agentic −9% | 262K → 205K context 236K → 131K max output no image, video input |
| DeepSeek V4 Pro 0423 DeepSeek | 1439.2 +21.3 | $0.979 chat | Chat −1% Code gen −2% Agentic −1% | no image, video input |
| Gemini 3.5 Flash Lite Google | 1436.5 +18.6 | $0.333 summarise | Summarise −5% Agentic −12% | 236K → 66K max output |
| GLM 4.7 Z.ai | 1435.3 +17.4 | $0.844 chat | Chat −15% Code gen −12% Agentic −23% | 262K → 205K context 236K → 131K max output no image, video input |
| Qwen3.6 Plus Qwen | 1436.8 +18.9 | $0.975 chat | Chat −1% Code gen −4% | 236K → 66K max output |
| DeepSeek V3.1 DeepSeek | 1419.1 tie | $1.21 code gen | Code gen −11% | 262K → 164K context 236K → 145K max output no image, video input |

## What this compares, and what it leaves out

 - Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.68 points, so a gap smaller than that is marked *tie* rather than an improvement — see [significance bands](/significance/).
 - 188 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
 - Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
 - Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
 - The models that nothing beats on both axes are on the [value frontier](/frontier/), and every other model something cheaper beats is [listed here](/alternatives/).