---
title: "Is Qwen2.5 Coder 32B Instruct still undominated? · Undominated.ai"
canonical: https://undominated.ai/check/qwen__qwen-2.5-coder-32b-instruct/
description: "Qwen2.5 Coder 32B Instruct: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated."
---

# Is Qwen2.5 Coder 32B Instruct still undominated? · Undominated.ai

> Qwen2.5 Coder 32B Instruct: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated.

# Is Qwen2.5 Coder 32B Instruct a good deal?

Whether anything in this catalogue beats Qwen2.5 Coder 32B Instruct on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion.

13 undominated of 136 · Sep 23, 2026

 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options)

As of Sep 23, 2026, Qwen2.5 Coder 32B Instruct is dominated for Balanced on LMArena. GLM 5.3 Flash scores 242.0 higher and costs 68% less, with a covering envelope. 13 of 136 rated, priced standard models are undominated.

[Inspect model evidence](/models/qwen__qwen-2.5-coder-32b-instruct/) [Compare differences & requirements](/compare/?models=qwen%2Fqwen-2.5-coder-32b-instruct%2Cz-ai%2Fglm-5.3-flash)

 Current model

Qwen2.5 Coder 32B Instruct

 Balanced

3 tokens in per 1 out

 Balanced Summarise Chat Code gen Agentic
 Monthly spend (USD) Used only to say how many months a named switching cost would take to earn back. Leave blank to skip. Switching cost (USD)

GLM 5.3 Flash is both better and cheaper than Qwen2.5 Coder 32B Instruct: 242.0 points higher on LMArena and 68% less per million tokens, $0.51 cheaper at this mix.

 [Qwen2.5 Coder 32B Instruct](https://undominated.ai/models/qwen__qwen-2.5-coder-32b-instruct/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1229.9

Effective $/M · Balanced · lower is better

 **

$0.745/M

 [GLM 5.3 Flash](https://undominated.ai/models/z-ai__glm-5.3-flash/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1471.9

Effective $/M · Balanced · lower is better

 **

$0.237/M

Qwen2.5 Coder 32B Instruct takes text, returns up to 29,491 tokens from a 32,768-token context, and is listed by 1 seller.

Compared against 136 rated, priced models on this lens: 44 models dominate it and give up nothing, 5 more dominate it but give something up. Qwen2.5 Coder 32B Instruct scores 1229.9 at $0.74 per million tokens for this mix.

## Envelope-safe replacements

Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here.

| Model | LMArena | Effective $/M | You save |
| --- | --- | --- | --- |
| [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) | 1471.9 +242.0 | $0.237/M | 68% |
| [MiMo-V2.5-Pro](/models/xiaomi__mimo-v2.5-pro/) | 1464.8 +234.9 | $0.544/M | 27% |
| [Qwen3.7 Plus](/models/qwen__qwen3.7-plus/) | 1454.2 +224.3 | $0.560/M | 25% |
| [Hy3](/models/tencent__hy3/) | 1440.6 +210.7 | $0.144/M | 81% |
| [Qwen3.6 Plus](/models/qwen__qwen3.6-plus/) | 1436.7 +206.8 | $0.731/M | 2% |
| [GLM 4.7](/models/z-ai__glm-4.7/) | 1435.9 +206.0 | $0.738/M | 1% |
| [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) | 1434.5 +204.6 | $0.143/M | 81% |
| [MiniMax M3](/models/minimax__minimax-m3/) | 1433.5 +203.6 | $0.525/M | 30% |
| [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) | 1431.8 +201.9 | $0.103/M | 86% |
| [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) | 1429.9 +200.0 | $0.450/M | 40% |
| [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) | 1427.4 +197.5 | $0.175/M | 77% |
| [DeepSeek V3.2](/models/deepseek__deepseek-v3.2/) | 1424.8 +194.9 | $0.302/M | 59% |
| [DeepSeek V3.2 Exp](/models/deepseek__deepseek-v3.2-exp/) | 1422.6 +192.7 | $0.305/M | 59% |
| [Qwen3 VL 235B A22B Instruct](/models/qwen__qwen3-vl-235b-a22b-instruct/) | 1420.6 +190.7 | $0.632/M | 15% |
| [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) | 1419.8 +189.9 | $0.153/M | 79% |
| [DeepSeek V3.1](/models/deepseek__deepseek-chat-v3.1/) | 1419.7 +189.8 | $0.425/M | 43% |
| [Qwen3.5-122B-A10B](/models/qwen__qwen3.5-122b-a10b/) | 1417.9 +188.0 | $0.715/M | 4% |
| [DeepSeek V3.1 Terminus](/models/deepseek__deepseek-v3.1-terminus/) | 1416.9 +187.0 | $0.453/M | 39% |
| [Gemini 3.1 Flash Lite Preview](/models/google__gemini-3.1-flash-lite-preview/) | 1415.3 +185.4 | $0.563/M | 24% |
| [Inkling Small](/models/thinkingmachines__inkling-small/) | 1412.3 +182.4 | $0.637/M | 14% |
| [Qwen3.5-27B](/models/qwen__qwen3.5-27b/) | 1408.1 +178.2 | $0.536/M | 28% |
| [MiniMax M2.7](/models/minimax__minimax-m2.7/) | 1404.6 +174.7 | $0.525/M | 30% |
| [Step 3.5 Flash](/models/stepfun__step-3.5-flash/) | 1403.7 +173.8 | $0.150/M | 80% |
| [Qwen3.5-Flash](/models/qwen__qwen3.5-flash-02-23/) | 1397.7 +167.8 | $0.114/M | 85% |
| [GLM 4.5 Air](/models/z-ai__glm-4.5-air/) | 1383.7 +153.8 | $0.310/M | 58% |
| [Qwen3 30B A3B Instruct 2507](/models/qwen__qwen3-30b-a3b-instruct-2507/) | 1383.6 +153.7 | $0.084/M | 89% |
| [Solar Pro 4](/models/upstage__solar-pro4/) | 1377.3 +147.4 | $0.158/M | 79% |
| [GLM 4.6V](/models/z-ai__glm-4.6v/) | 1376.5 +146.6 | $0.450/M | 40% |
| [DeepSeek V3 0324](/models/deepseek__deepseek-chat-v3-0324/) | 1375.0 +145.1 | $0.438/M | 41% |
| [GPT-5 Mini](/models/openai__gpt-5-mini/) | 1373.0 +143.1 | $0.688/M | 8% |
| [GPT-5.4 Nano](/models/openai__gpt-5.4-nano/) | 1372.9 +143.0 | $0.463/M | 38% |
| [Qwen3 Next 80B A3B Thinking](/models/qwen__qwen3-next-80b-a3b-thinking/) | 1367.8 +137.9 | $0.412/M | 45% |
| [gpt-oss-120b](/models/openai__gpt-oss-120b/) | 1365.9 +136.0 | $0.262/M | 65% |
| [MiniMax M2.5](/models/minimax__minimax-m2.5/) | 1358.9 +129.0 | $0.473/M | 37% |
| [Gemma 3 27B](/models/google__gemma-3-27b-it/) | 1357.7 +127.8 | $0.172/M | 77% |
| [Mercury 2](/models/inception__mercury-2/) | 1357.6 +127.7 | $0.375/M | 50% |
| [GLM 4.7 Flash](/models/z-ai__glm-4.7-flash/) | 1352.2 +122.3 | $0.145/M | 80% |
| [MiniMax M2](/models/minimax__minimax-m2/) | 1342.1 +112.2 | $0.446/M | 40% |
| [Trinity Large Thinking](/models/arcee-ai__trinity-large-thinking/) | 1341.8 +111.9 | $0.388/M | 48% |
| [GPT-4.1 Mini](/models/openai__gpt-4.1-mini/) | 1340.2 +110.3 | $0.700/M | 6% |
| [GPT-5 Nano](/models/openai__gpt-5-nano/) | 1319.7 +89.8 | $0.138/M | 82% |
| [Granite 4.2 8B](/models/ibm-granite__granite-4.2-8b/) | 1316.8 +86.9 | $0.107/M | 86% |
| [gpt-oss-20b](/models/openai__gpt-oss-20b/) | 1287.3 +57.4 | $0.036/M | 95% |
| [GPT-4.1 Nano](/models/openai__gpt-4.1-nano/) | 1284.7 +54.8 | $0.175/M | 77% |

## Higher score, lower price, named losses

Not a drop-in. The loss is why these are not a recommendation.

| Model | LMArena | Effective $/M | You give up |
| --- | --- | --- | --- |
| [Gemma 4 31B](/models/google__gemma-4-31b-it/) | 1441.7 | $0.153/M | max output |
| [Qwen3 Next 80B A3B Instruct](/models/qwen__qwen3-next-80b-a3b-instruct/) | 1417.6 | $0.343/M | max output |
| [Qwen3.5-35B-A3B](/models/qwen__qwen3.5-35b-a3b/) | 1395.5 | $0.547/M | max output |
| [Qwen3 32B](/models/qwen__qwen3-32b/) | 1340.0 | $0.130/M | max output |
| [Gemma 3 12B](/models/google__gemma-3-12b-it/) | 1334.2 | $0.075/M | max output |

 136 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase.

Copy watch URL [Open the frontier](/frontier/)

The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link.

## Saved decision references

Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications.

Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs.

Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored.

 Save this reference

## Continue your investigation

 - [Build a shortlist](/compare/)
- [Inspect alternatives](/alternatives/)
- [Check billing conditions](/traps/)
- [Read model evidence](/models/)