Alternatives to Qwen3 Max

Qwen LMArena 1412.4 $1.56/M on a balanced workload prices as of 2026-10-06

25 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, 40 score at least as high as Qwen3 Max and cost no more under at least one listed workload, with at least one of those dimensions improved. 25 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. 15 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

WorkloadQwen3 Max $/MRecorded capabilities preservedRecorded capability losses
Balanced$1.562515
Summarise$0.7582515
Chat$1.842515
Code gen$2.602515
Agentic$0.8772515

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

Intelligence1412.4
Context window262K
Max output65K
Input modestext
Tool useyes
Extended reasoningyes

Preserving recorded capabilities requires matching or beating these fields. Full record for Qwen3 Max, or check Qwen3 Max against the whole catalogue.

Recorded capabilities preserved 25

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats Qwen3 Max on recorded context, maximum output, input modes, tool use and extended reasoning.

#ModelIntelligence$/MHolds under
1MiMo-V2.6-Pro Xiaomi1491 +78.6$0.540
  • Balanced −65%
  • Summarise −56%
  • Chat −74%
  • Code gen −75%
  • Agentic −72%
2Gemini 3.6 Flash Google1479.5 +67.1$1.50
  • Balanced −4%
  • Summarise −7%
  • Chat −5%
  • Code gen −4%
  • Agentic −9%
3GLM 5.3 Flash Z.ai1469.6 +57.2$0.238
  • Balanced −85%
  • Summarise −82%
  • Chat −86%
  • Code gen −87%
  • Agentic −85%
4GLM 5.3 Z.ai1471.4 +59$1.00
  • Balanced −36%
  • Summarise −54%
  • Chat −20%
  • Code gen −19%
  • Agentic −26%
5GLM 5.2 Z.ai1470.4 +58$1.12
  • Balanced −28%
  • Summarise −44%
  • Chat −16%
  • Code gen −14%
  • Agentic −21%
6MiMo-V2.5-Pro Xiaomi1465 +52.6$0.544
  • Balanced −65%
  • Summarise −56%
  • Chat −74%
  • Code gen −75%
  • Agentic −72%
7DeepSeek V4.1 Flash DeepSeek1462.5 +50.1$0.182
  • Balanced −88%
  • Summarise −91%
  • Chat −87%
  • Code gen −86%
  • Agentic −88%
8MiMo-V2.6-Flash Xiaomi1456.4 +44$0.175
  • Balanced −89%
  • Summarise −86%
  • Chat −92%
  • Code gen −92%
  • Agentic −91%
9Qwen3.7 Plus Qwen1454.6 +42.2$0.560
  • Balanced −64%
  • Summarise −61%
  • Chat −66%
  • Code gen −66%
  • Agentic −64%
10Kimi K2.6 Moonshot AI1455.5 +43.1$0.961
  • Balanced −38%
  • Summarise −39%
  • Chat −38%
  • Code gen −37%
  • Agentic −38%
11Hy3 Tencent1440.7 +28.3$0.231
  • Balanced −85%
  • Summarise −84%
  • Chat −86%
  • Code gen −86%
  • Agentic −85%
12Kimi K2.5 Moonshot AI1445.2 +32.8$1.20
  • Balanced −23%
  • Summarise −24%
  • Chat −23%
  • Code gen −23%
  • Agentic −24%
13DeepSeek V4 Pro 0423 DeepSeek1445.2 +32.8$1.21
  • Balanced −23%
  • Summarise −34%
  • Chat −15%
  • Code gen −14%
  • Agentic −21%
14Qwen3.8 27B Qwen1440.7 +28.3$0.562
  • Balanced −64%
  • Summarise −76%
  • Chat −54%
  • Code gen −53%
  • Agentic −58%
15Gemma 4 26B A4B Google1433.9 +21.5$0.127
  • Balanced −92%
  • Summarise −91%
  • Chat −92%
  • Code gen −92%
  • Agentic −91%
16Qwen3.5 397B A17B Qwen1438 +25.6$0.878
  • Balanced −44%
  • Summarise −36%
  • Chat −36%
  • Code gen −40%
  • Agentic −22%
17Qwen3.6 Plus Qwen1436.7 +24.3$0.731
  • Balanced −53%
  • Summarise −46%
  • Chat −47%
  • Code gen −50%
  • Agentic −35%
18DeepSeek V4 Flash 0423 DeepSeek1432.1 +19.7$0.113
  • Balanced −93%
  • Summarise −90%
  • Chat −94%
  • Code gen −95%
  • Agentic −93%
19Gemini 3.5 Flash Lite Google1434.7 +22.3$0.850
  • Balanced −46%
  • Summarise −56%
  • Chat −40%
  • Code gen −39%
  • Agentic −46%
20MiniMax M3 MiniMax1432.1 +19.7$0.485
  • Balanced −69%
  • Summarise −66%
  • Chat −71%
  • Code gen −71%
  • Agentic −69%
21GPT-5.6 Luna OpenAI1431 +18.6$0.450
  • Balanced −71%
  • Summarise −74%
  • Chat −70%
  • Code gen −70%
  • Agentic −72%
22MiMo-V2.5 Xiaomi1427.5 +15.1$0.175
  • Balanced −89%
  • Summarise −86%
  • Chat −92%
  • Code gen −92%
  • Agentic −91%
23Qwen3.5-122B-A10B Qwen1417.1 tie$0.715
  • Balanced −54%
  • Summarise −54%
  • Chat −46%
  • Code gen −48%
  • Agentic −39%
24Gemini 3.1 Flash Lite Preview Google1415.7 tie$0.563
  • Balanced −64%
  • Summarise −67%
  • Chat −63%
  • Code gen −62%
  • Agentic −65%
25Inkling Small Thinking Machines1413.7 tie$0.638
  • Balanced −59%
  • Summarise −49%
  • Chat −65%
  • Code gen −66%
  • Agentic −60%

Alternatives with recorded capability losses 15

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 +31$0.205
  • Balanced −87%
  • Summarise −80%
  • Chat −87%
  • Code gen −89%
  • Agentic −80%
  • 66K → 16K max output
GLM 5 Z.ai1446.3 +33.9$1.09
  • Balanced −30%
  • Summarise −19%
  • Chat −38%
  • Code gen −39%
  • Agentic −32%
  • 262K → 205K context
GLM 4.6 Z.ai1439.9 +27.5$0.760
  • Balanced −51%
  • Summarise −48%
  • Chat −54%
  • Code gen −54%
  • Agentic −52%
  • 262K → 205K context
  • 66K → 16K max output
GLM 4.7 Z.ai1435.5 +23.1$0.738
  • Balanced −53%
  • Summarise −50%
  • Chat −54%
  • Code gen −54%
  • Agentic −53%
  • 262K → 205K context
GLM 4.5 Z.ai1430.3 +17.9$1.00
  • Balanced −36%
  • Summarise −29%
  • Chat −41%
  • Code gen −42%
  • Agentic −37%
  • 262K → 131K context
DeepSeek V3.2 DeepSeek1424.5 +12.1$0.290
  • Balanced −81%
  • Summarise −70%
  • Chat −85%
  • Code gen −88%
  • Agentic −77%
  • 262K → 164K context
R1 0528 DeepSeek1427.9 +15.5$0.920
  • Balanced −41%
  • Summarise −23%
  • Chat −36%
  • Code gen −42%
  • Agentic −14%
  • 262K → 164K context
  • 66K → 33K max output
DeepSeek V3.2 Exp DeepSeek1422.4 tie$0.305
  • Balanced −80%
  • Summarise −63%
  • Chat −82%
  • Code gen −86%
  • Agentic −67%
  • 262K → 164K context
Qwen3 235B A22B Instruct 2507 Qwen1419.3 tie$0.205
  • Balanced −87%
  • Summarise −85%
  • Chat −85%
  • Code gen −86%
  • Agentic −82%
  • 66K → 16K max output
  • no extended reasoning
Qwen3 VL 235B A22B Instruct Qwen1420.1 tie$0.370
  • Balanced −76%
  • Summarise −73%
  • Chat −76%
  • Code gen −77%
  • Agentic −72%
  • 66K → 33K max output
  • no extended reasoning
DeepSeek V3.1 DeepSeek1419.7 tie$0.453
  • Balanced −71%
  • Summarise −60%
  • Chat −69%
  • Code gen −73%
  • Agentic −57%
  • 262K → 164K context
  • 66K → 33K max output
Qwen3 Next 80B A3B Instruct Qwen1417.3 tie$0.268
  • Balanced −83%
  • Summarise −83%
  • Chat −80%
  • Code gen −81%
  • Agentic −77%
  • no extended reasoning
DeepSeek V3.1 Terminus DeepSeek1417.1 tie$0.453
  • Balanced −71%
  • Summarise −60%
  • Chat −69%
  • Code gen −73%
  • Agentic −57%
  • 262K → 164K context
Gemini 2.5 Flash Google1417 tie$0.850
  • Balanced −46%
  • Summarise −56%
  • Chat −40%
  • Code gen −39%
  • Agentic −46%
  • 66K → 66K max output
Qwen3 235B A22B Thinking 2507 Qwen1415.2 tie$0.748
  • Balanced −52%
  • Summarise −56%
  • Chat −43%
  • Code gen −43%
  • Agentic −38%
  • 262K → 131K context

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