Cheaper alternatives to Qwen3 235B A22B

Qwen LMArena 1366 $0.796/M on a balanced workload prices as of 2026-08-28

41 models are 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, 46 score at least as high as Qwen3 235B A22B and cost no more under at least one workload. 41 match or beat it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. 5 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 235B A22B, it is not generated.

Where it holds

WorkloadQwen3 235B A22B $/MBetter and cheaperWith a trade
Balanced$0.796305
Summarise$0.523365
Chat$1.00335
Code gen$1.27275
Agentic$0.660395

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

Intelligence1366
Context window131K
Max output8K
Input modestext
Tool useyes
Extended reasoningyes

A replacement has to clear every line above, not just the score. Full record for Qwen3 235B A22B.

Better and cheaper, nothing given up 41

Each of these matches or beats Qwen3 235B A22B on context, maximum output, input modes, tool use and reasoning, scores at least as high, and costs no more.

#ModelIntelligence$/MHolds under
1Gemini 3.7 Flash Google1490.2 +124.2$0.750
  • Balanced −6%
  • Summarise −32%
  • Chat −13%
  • Code gen −2%
  • Agentic −39%
2MiMo-V2.5-Pro Xiaomi1465 +99$0.544
  • Balanced −32%
  • Summarise −36%
  • Chat −52%
  • Code gen −48%
  • Agentic −63%
3Qwen3.7 Plus Qwen1456.2 +90.2$0.560
  • Balanced −30%
  • Summarise −44%
  • Chat −37%
  • Code gen −31%
  • Agentic −53%
4Gemma 4 31B Google1441.7 +75.7$0.152
  • Balanced −81%
  • Summarise −83%
  • Chat −82%
  • Code gen −81%
  • Agentic −84%
5Hy3 Tencent1441.2 +75.2$0.144
  • Balanced −82%
  • Summarise −85%
  • Chat −84%
  • Code gen −82%
  • Agentic −87%
6Gemma 4 26B A4B Google1434.6 +68.6$0.138
  • Balanced −83%
  • Summarise −84%
  • Chat −82%
  • Code gen −82%
  • Agentic −83%
7DeepSeek V4 Flash 0423 DeepSeek1431.6 +65.6$0.101
  • Balanced −87%
  • Summarise −87%
  • Chat −91%
  • Code gen −90%
  • Agentic −92%
8MiniMax M3 MiniMax1434.8 +68.8$0.525
  • Balanced −34%
  • Summarise −47%
  • Chat −41%
  • Code gen −36%
  • Agentic −56%
9Qwen3.6 Plus Qwen1436.8 +70.8$0.731
  • Balanced −8%
  • Summarise −22%
  • Chat −3%
  • Agentic −14%
10GLM 4.7 Z.ai1435.3 +69.3$0.738
  • Balanced −7%
  • Summarise −28%
  • Chat −16%
  • Code gen −7%
  • Agentic −38%
11MiMo-V2.5 Xiaomi1427.3 +61.3$0.175
  • Balanced −78%
  • Summarise −79%
  • Chat −85%
  • Code gen −83%
  • Agentic −88%
12GPT-5.6 Luna OpenAI1428.5 +62.5$0.450
  • Balanced −43%
  • Summarise −62%
  • Chat −45%
  • Code gen −38%
  • Agentic −63%
13DeepSeek V3.2 DeepSeek1424.6 +58.6$0.290
  • Balanced −64%
  • Summarise −56%
  • Chat −73%
  • Code gen −75%
  • Agentic −70%
14DeepSeek V3.2 Exp DeepSeek1424.4 +58.4$0.305
  • Balanced −62%
  • Summarise −47%
  • Chat −67%
  • Code gen −72%
  • Agentic −56%
15DeepSeek V3.1 Terminus DeepSeek1419.6 +53.6$0.453
  • Balanced −43%
  • Summarise −49%
  • Chat −48%
  • Code gen −45%
  • Agentic −55%
16Qwen3.5-122B-A10B Qwen1417.9 +51.9$0.715
  • Balanced −10%
  • Summarise −33%
  • Chat −1%
  • Agentic −19%
17Gemini 3.1 Flash Lite Preview Google1414.8 +48.8$0.563
  • Balanced −29%
  • Summarise −53%
  • Chat −32%
  • Code gen −23%
  • Agentic −54%
18Qwen3 235B A22B Thinking 2507 Qwen1413.8 +47.8$0.748
  • Balanced −6%
  • Summarise −36%
  • Agentic −18%
19Inkling Small Thinking Machines1411.7 +45.7$0.637
  • Balanced −20%
  • Summarise −26%
  • Chat −36%
  • Code gen −32%
  • Agentic −46%
20Step 3.5 Flash StepFun1403.8 +37.8$0.150
  • Balanced −81%
  • Summarise −79%
  • Chat −82%
  • Code gen −83%
  • Agentic −80%
21Qwen3.5-27B Qwen1407.9 +41.9$0.536
  • Balanced −33%
  • Summarise −50%
  • Chat −26%
  • Code gen −20%
  • Agentic −39%
22MiniMax M2.7 MiniMax1405.3 +39.3$0.525
  • Balanced −34%
  • Summarise −47%
  • Chat −41%
  • Code gen −36%
  • Agentic −56%
23Qwen3.5-Flash Qwen1397.6 +31.6$0.114
  • Balanced −86%
  • Summarise −86%
  • Chat −86%
  • Code gen −86%
  • Agentic −86%
24Qwen3.5-35B-A3B Qwen1395.6 +29.6$0.500
  • Balanced −37%
  • Summarise −43%
  • Chat −35%
  • Code gen −33%
  • Agentic −39%
25GLM 4.5 Air Z.ai1382.8 +16.8$0.310
  • Balanced −61%
  • Summarise −74%
  • Chat −61%
  • Code gen −57%
  • Agentic −73%
26Solar Pro 4 Upstage1376.2 tie$0.052
  • Balanced −93%
  • Summarise −95%
  • Chat −94%
  • Code gen −94%
  • Agentic −96%
27GLM 4.6V Z.ai1374.7 tie$0.450
  • Balanced −43%
  • Summarise −50%
  • Chat −53%
  • Code gen −50%
  • Agentic −63%
28GPT-5.4 Nano OpenAI1372.8 tie$0.463
  • Balanced −42%
  • Summarise −62%
  • Chat −43%
  • Code gen −36%
  • Agentic −62%
29GPT-5 Mini OpenAI1373.4 tie$0.688
  • Balanced −14%
  • Summarise −48%
  • Chat −12%
  • Agentic −43%
30Qwen3 Next 80B A3B Thinking Qwen1367.5 tie$0.412
  • Balanced −48%
  • Summarise −61%
  • Chat −43%
  • Code gen −39%
  • Agentic −53%
31Kimi K2.5 Moonshot AI1445.2 +79.2$0.432 summarise
  • Summarise −17%
  • Agentic −25%
32GLM 5 Z.ai1445.2 +79.2$0.984 chat
  • Chat −2%
  • Agentic −22%
33Qwen3.8 27B Qwen1440.8 +74.8$0.434 summarise
  • Summarise −17%
  • Agentic −18%
34GLM 4.6 Z.ai1439.8 +73.8$0.461 summarise
  • Summarise −12%
  • Chat −2%
  • Agentic −26%
35DeepSeek V4 Pro 0423 DeepSeek1439.2 +73.2$0.979 chat
  • Chat −2%
  • Agentic −20%
36Gemini 3.5 Flash Lite Google1436.5 +70.5$0.333 summarise
  • Summarise −36%
  • Agentic −29%
37Qwen3.5 397B A17B Qwen1438.3 +72.3$0.487 summarise
  • Summarise −7%
38GLM 4.5 Z.ai1429.4 +63.4$0.548 agentic
  • Agentic −17%
39R1 0528 DeepSeek1427.9 +61.9$0.658 agentic
  • Agentic under 1% less
40Gemini 2.5 Flash Google1417.3 +51.3$0.333 summarise
  • Summarise −36%
  • Agentic −29%
41DeepSeek V3.1 DeepSeek1419.1 +53.1$0.990 chat
  • Chat −1%
  • Code gen −5%

Cheaper and higher-scoring, but you give something up 5

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.

ModelIntelligence$/MHolds underWhat you give up
Qwen3 235B A22B Instruct 2507 Qwen1419.3 +53.3$0.205
  • Balanced −74%
  • Summarise −78%
  • Chat −73%
  • Code gen −71%
  • Agentic −76%
  • no extended reasoning
Qwen3 Next 80B A3B Instruct Qwen1418.6 +52.6$0.350
  • Balanced −56%
  • Summarise −73%
  • Chat −51%
  • Code gen −45%
  • Agentic −65%
  • no extended reasoning
Qwen3 VL 235B A22B Instruct Qwen1420.9 +54.9$0.632
  • Balanced −21%
  • Summarise −50%
  • Chat −15%
  • Code gen −5%
  • Agentic −40%
  • no extended reasoning
Qwen3 30B A3B Instruct 2507 Qwen1384.3 +18.3$0.084
  • Balanced −89%
  • Summarise −89%
  • Chat −89%
  • Code gen −89%
  • Agentic −89%
  • no extended reasoning
DeepSeek V3 0324 DeepSeek1375 tie$0.438
  • Balanced −45%
  • Summarise −45%
  • Chat −45%
  • Code gen −45%
  • Agentic −45%
  • no extended reasoning

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.
  • 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, and every other model something cheaper beats is listed here.