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

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 Compare differences & requirements

Current model

Qwen2.5 Coder 32B Instruct

Balanced

3 tokens in per 1 out

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

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

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.

ModelLMArenaEffective $/MYou save
GLM 5.3 Flash1471.9 +242.0$0.237/M68%
MiMo-V2.5-Pro1464.8 +234.9$0.544/M27%
Qwen3.7 Plus1454.2 +224.3$0.560/M25%
Hy31440.6 +210.7$0.144/M81%
Qwen3.6 Plus1436.7 +206.8$0.731/M2%
GLM 4.71435.9 +206.0$0.738/M1%
Gemma 4 26B A4B 1434.5 +204.6$0.143/M81%
MiniMax M31433.5 +203.6$0.525/M30%
DeepSeek V4 Flash 04231431.8 +201.9$0.103/M86%
GPT-5.6 Luna1429.9 +200.0$0.450/M40%
MiMo-V2.51427.4 +197.5$0.175/M77%
DeepSeek V3.21424.8 +194.9$0.302/M59%
DeepSeek V3.2 Exp1422.6 +192.7$0.305/M59%
Qwen3 VL 235B A22B Instruct1420.6 +190.7$0.632/M15%
Qwen3 235B A22B Instruct 25071419.8 +189.9$0.153/M79%
DeepSeek V3.11419.7 +189.8$0.425/M43%
Qwen3.5-122B-A10B1417.9 +188.0$0.715/M4%
DeepSeek V3.1 Terminus1416.9 +187.0$0.453/M39%
Gemini 3.1 Flash Lite Preview1415.3 +185.4$0.563/M24%
Inkling Small1412.3 +182.4$0.637/M14%
Qwen3.5-27B1408.1 +178.2$0.536/M28%
MiniMax M2.71404.6 +174.7$0.525/M30%
Step 3.5 Flash1403.7 +173.8$0.150/M80%
Qwen3.5-Flash1397.7 +167.8$0.114/M85%
GLM 4.5 Air1383.7 +153.8$0.310/M58%
Qwen3 30B A3B Instruct 25071383.6 +153.7$0.084/M89%
Solar Pro 41377.3 +147.4$0.158/M79%
GLM 4.6V1376.5 +146.6$0.450/M40%
DeepSeek V3 03241375.0 +145.1$0.438/M41%
GPT-5 Mini1373.0 +143.1$0.688/M8%
GPT-5.4 Nano1372.9 +143.0$0.463/M38%
Qwen3 Next 80B A3B Thinking1367.8 +137.9$0.412/M45%
gpt-oss-120b1365.9 +136.0$0.262/M65%
MiniMax M2.51358.9 +129.0$0.473/M37%
Gemma 3 27B1357.7 +127.8$0.172/M77%
Mercury 21357.6 +127.7$0.375/M50%
GLM 4.7 Flash1352.2 +122.3$0.145/M80%
MiniMax M21342.1 +112.2$0.446/M40%
Trinity Large Thinking1341.8 +111.9$0.388/M48%
GPT-4.1 Mini1340.2 +110.3$0.700/M6%
GPT-5 Nano1319.7 +89.8$0.138/M82%
Granite 4.2 8B1316.8 +86.9$0.107/M86%
gpt-oss-20b1287.3 +57.4$0.036/M95%
GPT-4.1 Nano1284.7 +54.8$0.175/M77%

Higher score, lower price, named losses

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

ModelLMArenaEffective $/MYou give up
Gemma 4 31B1441.7$0.153/Mmax output
Qwen3 Next 80B A3B Instruct1417.6$0.343/Mmax output
Qwen3.5-35B-A3B1395.5$0.547/Mmax output
Qwen3 32B1340.0$0.130/Mmax output
Gemma 3 12B1334.2$0.075/Mmax output
GLM 5.3 Flash1471.9 · $0.237/MQwen2.5 Coder 32B Instruct1229.9 · $0.745/MLMArena EloEffective $/M · Balanced
136 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase.

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