Alternatives to Qwen2.5 Coder 32B Instruct

Qwen LMArena 1230 $0.745/M on a balanced workload prices as of 2026-10-06

65 models are higher-scoring or cheaper, with neither dimension worse.

Of the 144 models carrying both an independent score and a published price at the same delivery mode, 81 score at least as high as Qwen2.5 Coder 32B Instruct and cost no more under at least one listed workload, with at least one of those dimensions improved. 65 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. 16 have a recorded capability loss, named on every row.

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 only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, it is not generated.

Where it holds

WorkloadQwen2.5 Coder 32B Instruct $/MRecorded capabilities preservedRecorded capability losses
Balanced$0.7455013
Summarise$0.6776515
Chat$0.7964513
Code gen$0.8644013
Agentic$0.7116315

Workload mixes are defined on the methodology page. 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

Intelligence1230
Context window32K
Max output29K
Input modestext
Tool useno
Extended reasoningno

Preserving recorded capabilities requires matching or beating these fields. Full record for Qwen2.5 Coder 32B Instruct, or check Qwen2.5 Coder 32B Instruct against the whole catalogue.

Recorded capabilities preserved 65

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats Qwen2.5 Coder 32B Instruct on recorded context, maximum output, input modes, tool use and extended reasoning.

#ModelIntelligence$/MHolds under
1MiMo-V2.6-Pro Xiaomi1491 +261$0.540
  • Balanced −28%
  • Summarise −51%
  • Chat −40%
  • Code gen −24%
  • Agentic −66%
2GLM 5.3 Flash Z.ai1469.6 +239.6$0.238
  • Balanced −68%
  • Summarise −80%
  • Chat −68%
  • Code gen −59%
  • Agentic −82%
3DeepSeek V4.1 Flash DeepSeek1462.5 +232.5$0.182
  • Balanced −76%
  • Summarise −90%
  • Chat −69%
  • Code gen −58%
  • Agentic −85%
4MiMo-V2.5-Pro Xiaomi1465 +235$0.544
  • Balanced −27%
  • Summarise −51%
  • Chat −40%
  • Code gen −23%
  • Agentic −66%
5MiMo-V2.6-Flash Xiaomi1456.4 +226.4$0.175
  • Balanced −77%
  • Summarise −84%
  • Chat −81%
  • Code gen −75%
  • Agentic −89%
6Qwen3.7 Plus Qwen1454.6 +224.6$0.560
  • Balanced −25%
  • Summarise −56%
  • Chat −21%
  • Agentic −56%
7Hy3 Tencent1440.7 +210.7$0.231
  • Balanced −69%
  • Summarise −82%
  • Chat −67%
  • Code gen −58%
  • Agentic −81%
8Qwen3.8 27B Qwen1440.7 +210.7$0.562
  • Balanced −25%
  • Summarise −73%
  • Agentic −48%
9Gemma 4 26B A4B Google1433.9 +203.9$0.127
  • Balanced −83%
  • Summarise −90%
  • Chat −81%
  • Code gen −76%
  • Agentic −89%
10DeepSeek V4 Flash 0423 DeepSeek1432.1 +202.1$0.113
  • Balanced −85%
  • Summarise −89%
  • Chat −87%
  • Code gen −84%
  • Agentic −91%
11Qwen3.6 Plus Qwen1436.7 +206.7$0.731
  • Balanced −2%
  • Summarise −40%
  • Agentic −20%
12GLM 4.7 Z.ai1435.5 +205.5$0.738
  • Balanced −1%
  • Summarise −44%
  • Agentic −42%
13MiniMax M3 MiniMax1432.1 +202.1$0.485
  • Balanced −35%
  • Summarise −62%
  • Chat −32%
  • Code gen −13%
  • Agentic −62%
14MiMo-V2.5 Xiaomi1427.5 +197.5$0.175
  • Balanced −77%
  • Summarise −84%
  • Chat −81%
  • Code gen −75%
  • Agentic −89%
15GPT-5.6 Luna OpenAI1431 +201$0.450
  • Balanced −40%
  • Summarise −71%
  • Chat −31%
  • Code gen −9%
  • Agentic −66%
16DeepSeek V3.2 DeepSeek1424.5 +194.5$0.290
  • Balanced −61%
  • Summarise −66%
  • Chat −66%
  • Code gen −63%
  • Agentic −72%
17DeepSeek V3.2 Exp DeepSeek1422.4 +192.4$0.305
  • Balanced −59%
  • Summarise −59%
  • Chat −59%
  • Code gen −59%
  • Agentic −59%
18Qwen3 VL 235B A22B Instruct Qwen1420.1 +190.1$0.370
  • Balanced −50%
  • Summarise −69%
  • Chat −44%
  • Code gen −30%
  • Agentic −65%
19Qwen3 Next 80B A3B Instruct Qwen1417.3 +187.3$0.268
  • Balanced −64%
  • Summarise −81%
  • Chat −53%
  • Code gen −41%
  • Agentic −72%
20DeepSeek V3.1 DeepSeek1419.7 +189.7$0.453
  • Balanced −39%
  • Summarise −55%
  • Chat −29%
  • Code gen −18%
  • Agentic −47%
21DeepSeek V3.1 Terminus DeepSeek1417.1 +187.1$0.453
  • Balanced −39%
  • Summarise −55%
  • Chat −29%
  • Code gen −18%
  • Agentic −47%
22Gemini 3.1 Flash Lite Preview Google1415.7 +185.7$0.563
  • Balanced −24%
  • Summarise −63%
  • Chat −14%
  • Agentic −57%
23Qwen3.5-122B-A10B Qwen1417.1 +187.1$0.715
  • Balanced −4%
  • Summarise −48%
  • Agentic −25%
24Inkling Small Thinking Machines1413.7 +183.7$0.638
  • Balanced −14%
  • Summarise −43%
  • Chat −19%
  • Agentic −50%
25Qwen3.5-27B Qwen1408.9 +178.9$0.536
  • Balanced −28%
  • Summarise −61%
  • Chat −7%
  • Agentic −44%
26Step 3.5 Flash StepFun1403 +173$0.150
  • Balanced −80%
  • Summarise −84%
  • Chat −77%
  • Code gen −75%
  • Agentic −82%
27MiniMax M2.7 MiniMax1404.6 +174.6$0.525
  • Balanced −30%
  • Summarise −59%
  • Chat −26%
  • Code gen −5%
  • Agentic −59%
28Qwen3.5-Flash Qwen1397 +167$0.114
  • Balanced −85%
  • Summarise −89%
  • Chat −82%
  • Code gen −79%
  • Agentic −87%
29Qwen3.5-35B-A3B Qwen1394.4 +164.4$0.355
  • Balanced −52%
  • Summarise −77%
  • Chat −43%
  • Code gen −25%
  • Agentic −70%
30GPT-6 Luna OpenAI1391.5 +161.5$0.200
  • Balanced −73%
  • Summarise −86%
  • Chat −71%
  • Code gen −61%
  • Agentic −85%
31Qwen3 30B A3B Instruct 2507 Qwen1384.1 +154.1$0.143
  • Balanced −81%
  • Summarise −85%
  • Chat −78%
  • Code gen −75%
  • Agentic −83%
32GLM 4.5 Air Z.ai1383.9 +153.9$0.310
  • Balanced −58%
  • Summarise −80%
  • Chat −51%
  • Code gen −36%
  • Agentic −75%
33Solar Pro 4 Upstage1386.2 +156.2$0.525
  • Balanced −30%
  • Summarise −59%
  • Chat −26%
  • Code gen −5%
  • Agentic −59%
34GLM 4.6V Z.ai1376.8 +146.8$0.450
  • Balanced −40%
  • Summarise −62%
  • Chat −42%
  • Code gen −26%
  • Agentic −66%
35DeepSeek V3 0324 DeepSeek1375 +145$0.438
  • Balanced −41%
  • Summarise −58%
  • Chat −31%
  • Code gen −19%
  • Agentic −49%
36GPT-5.4 Nano OpenAI1372.1 +142.1$0.463
  • Balanced −38%
  • Summarise −70%
  • Chat −29%
  • Code gen −6%
  • Agentic −65%
37gpt-oss-120b OpenAI1365.4 +135.4$0.065
  • Balanced −91%
  • Summarise −95%
  • Chat −89%
  • Code gen −87%
  • Agentic −93%
38GPT-5 Mini OpenAI1373.2 +143.2$0.688
  • Balanced −8%
  • Summarise −60%
  • Agentic −47%
39Qwen3 Next 80B A3B Thinking Qwen1368.3 +138.3$0.413
  • Balanced −45%
  • Summarise −70%
  • Chat −28%
  • Code gen −10%
  • Agentic −57%
40Gemma 3 27B Google1357.8 +127.8$0.100
  • Balanced −87%
  • Summarise −88%
  • Chat −86%
  • Code gen −85%
  • Agentic −87%
41MiniMax M2.5 MiniMax1359.3 +129.3$0.521
  • Balanced −30%
  • Summarise −60%
  • Chat −26%
  • Code gen −5%
  • Agentic −59%
42Mercury 2 Inception1355.2 +125.2$0.375
  • Balanced −50%
  • Summarise −69%
  • Chat −52%
  • Code gen −38%
  • Agentic −73%
43GLM 4.7 Flash Z.ai1350.9 +120.9$0.145
  • Balanced −81%
  • Summarise −91%
  • Chat −77%
  • Code gen −70%
  • Agentic −89%
44Trinity Large Thinking Arcee1340 +110$0.388
  • Balanced −48%
  • Summarise −67%
  • Chat −48%
  • Code gen −35%
  • Agentic −69%
45MiniMax M2 MiniMax1339.9 +109.9$0.525
  • Balanced −30%
  • Summarise −60%
  • Chat −27%
  • Code gen −5%
  • Agentic −61%
46GPT-4.1 Mini OpenAI1340.4 +110.4$0.700
  • Balanced −6%
  • Summarise −45%
  • Chat −1%
  • Agentic −44%
47GPT-5 Nano OpenAI1320 +90$0.138
  • Balanced −82%
  • Summarise −92%
  • Chat −78%
  • Code gen −70%
  • Agentic −89%
48Granite 4.2 8B IBM1317.8 +87.8$0.108
  • Balanced −86%
  • Summarise −92%
  • Chat −85%
  • Code gen −80%
  • Agentic −91%
49gpt-oss-20b OpenAI1287.7 +57.7$0.036
  • Balanced −95%
  • Summarise −97%
  • Chat −94%
  • Code gen −93%
  • Agentic −97%
50GPT-4.1 Nano OpenAI1284.8 +54.8$0.175
  • Balanced −77%
  • Summarise −86%
  • Chat −75%
  • Code gen −68%
  • Agentic −86%
51GLM 5.3 Z.ai1471.4 +241.4$0.346 summarise
  • Summarise −49%
  • Agentic −9%
52GLM 5.2 Z.ai1470.4 +240.4$0.422 summarise
  • Summarise −38%
  • Agentic −2%
53Kimi K2.6 Moonshot AI1455.5 +225.5$0.460 summarise
  • Summarise −32%
  • Agentic −23%
54GLM 5 Z.ai1446.3 +216.3$0.617 summarise
  • Summarise −9%
  • Agentic −16%
55DeepSeek V4 Pro 0423 DeepSeek1445.2 +215.2$0.502 summarise
  • Summarise −26%
  • Agentic −2%
56Kimi K2.5 Moonshot AI1445.2 +215.2$0.578 summarise
  • Summarise −15%
  • Agentic −7%
57Qwen3.5 397B A17B Qwen1438 +208$0.488 summarise
  • Summarise −28%
  • Agentic −4%
58Gemini 3.5 Flash Lite Google1434.7 +204.7$0.333 summarise
  • Summarise −51%
  • Agentic −34%
59GLM 4.5 Z.ai1430.3 +200.3$0.540 summarise
  • Summarise −20%
  • Agentic −23%
60R1 0528 DeepSeek1427.9 +197.9$0.584 summarise
  • Summarise −14%
61Gemini 2.5 Flash Google1417 +187$0.333 summarise
  • Summarise −51%
  • Agentic −34%
62Qwen3 235B A22B Thinking 2507 Qwen1415.2 +185.2$0.334 summarise
  • Summarise −51%
  • Agentic −24%
63Qwen3 VL 235B A22B Thinking Qwen1400.7 +170.7$0.580 summarise
  • Summarise −14%
64Nova 2 Lite Amazon1361.8 +131.8$0.410 summarise
  • Summarise −39%
  • Agentic −11%
65MiniMax M1 MiniMax1342.8 +112.8$0.490 summarise
  • Summarise −28%
  • Agentic −6%

Alternatives with recorded capability losses 16

These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.

ModelIntelligence$/MHolds underRecorded capability loss
Gemma 4 31B Google1443.4 +213.4$0.205
  • Balanced −72%
  • Summarise −77%
  • Chat −69%
  • Code gen −66%
  • Agentic −75%
  • 29K → 16K max output
Qwen3 235B A22B Instruct 2507 Qwen1419.3 +189.3$0.205
  • Balanced −72%
  • Summarise −83%
  • Chat −66%
  • Code gen −58%
  • Agentic −78%
  • 29K → 16K max output
Qwen3 32B Qwen1340.1 +110.1$0.130
  • Balanced −83%
  • Summarise −87%
  • Chat −80%
  • Code gen −77%
  • Agentic −85%
  • 29K → 16K max output
Gemma 3 12B Google1334.2 +104.2$0.075
  • Balanced −90%
  • Summarise −92%
  • Chat −89%
  • Code gen −87%
  • Agentic −91%
  • 29K → 16K max output
DeepSeek V3 DeepSeek1332.5 +102.5$0.500
  • Balanced −33%
  • Summarise −51%
  • Chat −21%
  • Code gen −7%
  • Agentic −42%
  • 29K → 16K max output
Qwen3 30B A3B Qwen1316.6 +86.6$0.215
  • Balanced −71%
  • Summarise −79%
  • Chat −66%
  • Code gen −60%
  • Agentic −75%
  • 29K → 16K max output
Gemma 3 4B Google1290.8 +60.8$0.063
  • Balanced −92%
  • Summarise −92%
  • Chat −91%
  • Code gen −91%
  • Agentic −92%
  • 29K → 16K max output
GPT-4o-mini (2024-07-18) OpenAI1286.4 +56.4$0.263
  • Balanced −65%
  • Summarise −78%
  • Chat −61%
  • Code gen −52%
  • Agentic −76%
  • 29K → 16K max output
Llama 3.3 70B Instruct Meta1274.1 +44.1$0.201
  • Balanced −73%
  • Summarise −78%
  • Chat −70%
  • Code gen −66%
  • Agentic −75%
  • 29K → 16K max output
Qwen2.5 72B Instruct Qwen1269 +39$0.370
  • Balanced −50%
  • Summarise −47%
  • Chat −53%
  • Code gen −56%
  • Agentic −49%
  • 29K → 16K max output
Llama 3.1 70B Instruct Meta1260.9 +30.9$0.720
  • Balanced −3%
  • Chat −10%
  • Code gen −17%
  • 29K → 16K max output
Mistral Small 3 Mistral1233.6 tie$0.058
  • Balanced −92%
  • Summarise −92%
  • Chat −92%
  • Code gen −92%
  • Agentic −92%
  • 29K → 16K max output
Gemma 2 27B Google1231.3 tie$0.650
  • Balanced −13%
  • Summarise −4%
  • Chat −18%
  • Code gen −25%
  • Agentic −9%
  • 33K → 8K context
  • 29K → 2K max output
GLM 4.6 Z.ai1439.9 +209.9$0.396 summarise
  • Summarise −41%
  • Agentic −41%
  • 29K → 16K max output
Qwen3 235B A22B Qwen1366.6 +136.6$0.523 summarise
  • Summarise −23%
  • Agentic −7%
  • 29K → 8K max output
GLM 4.5V Z.ai1332.8 +102.8$0.520 summarise
  • Summarise −23%
  • Agentic −31%
  • 29K → 16K max output

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 ±10.47 points, so a gap smaller than that is marked tie rather than an improvement — see significance bands.
  • 204 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.
  • Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the value frontier. Models with such an alternative are listed here.
Evidence & Ask