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
| Workload | Qwen3 Max $/M | Recorded capabilities preserved | Recorded capability losses |
|---|---|---|---|
| Balanced | $1.56 | 25 | 15 |
| Summarise | $0.758 | 25 | 15 |
| Chat | $1.84 | 25 | 15 |
| Code gen | $2.60 | 25 | 15 |
| Agentic | $0.877 | 25 | 15 |
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
| Intelligence | 1412.4 |
|---|---|
| Context window | 262K |
| Max output | 65K |
| Input modes | text |
| Tool use | yes |
| Extended reasoning | yes |
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.
| # | Model | Intelligence | $/M | Holds under |
|---|---|---|---|---|
| 1 | MiMo-V2.6-Pro Xiaomi | 1491 +78.6 | $0.540 |
|
| 2 | Gemini 3.6 Flash Google | 1479.5 +67.1 | $1.50 |
|
| 3 | GLM 5.3 Flash Z.ai | 1469.6 +57.2 | $0.238 |
|
| 4 | GLM 5.3 Z.ai | 1471.4 +59 | $1.00 |
|
| 5 | GLM 5.2 Z.ai | 1470.4 +58 | $1.12 |
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| 6 | MiMo-V2.5-Pro Xiaomi | 1465 +52.6 | $0.544 |
|
| 7 | DeepSeek V4.1 Flash DeepSeek | 1462.5 +50.1 | $0.182 |
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| 8 | MiMo-V2.6-Flash Xiaomi | 1456.4 +44 | $0.175 |
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| 9 | Qwen3.7 Plus Qwen | 1454.6 +42.2 | $0.560 |
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| 10 | Kimi K2.6 Moonshot AI | 1455.5 +43.1 | $0.961 |
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| 11 | Hy3 Tencent | 1440.7 +28.3 | $0.231 |
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| 12 | Kimi K2.5 Moonshot AI | 1445.2 +32.8 | $1.20 |
|
| 13 | DeepSeek V4 Pro 0423 DeepSeek | 1445.2 +32.8 | $1.21 |
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| 14 | Qwen3.8 27B Qwen | 1440.7 +28.3 | $0.562 |
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| 15 | Gemma 4 26B A4B Google | 1433.9 +21.5 | $0.127 |
|
| 16 | Qwen3.5 397B A17B Qwen | 1438 +25.6 | $0.878 |
|
| 17 | Qwen3.6 Plus Qwen | 1436.7 +24.3 | $0.731 |
|
| 18 | DeepSeek V4 Flash 0423 DeepSeek | 1432.1 +19.7 | $0.113 |
|
| 19 | Gemini 3.5 Flash Lite Google | 1434.7 +22.3 | $0.850 |
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| 20 | MiniMax M3 MiniMax | 1432.1 +19.7 | $0.485 |
|
| 21 | GPT-5.6 Luna OpenAI | 1431 +18.6 | $0.450 |
|
| 22 | MiMo-V2.5 Xiaomi | 1427.5 +15.1 | $0.175 |
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| 23 | Qwen3.5-122B-A10B Qwen | 1417.1 tie | $0.715 |
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| 24 | Gemini 3.1 Flash Lite Preview Google | 1415.7 tie | $0.563 |
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| 25 | Inkling Small Thinking Machines | 1413.7 tie | $0.638 |
|
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.
| Model | Intelligence | $/M | Holds under | Recorded capability loss |
|---|---|---|---|---|
| Gemma 4 31B Google | 1443.4 +31 | $0.205 |
|
|
| GLM 5 Z.ai | 1446.3 +33.9 | $1.09 |
|
|
| GLM 4.6 Z.ai | 1439.9 +27.5 | $0.760 |
|
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| GLM 4.7 Z.ai | 1435.5 +23.1 | $0.738 |
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| GLM 4.5 Z.ai | 1430.3 +17.9 | $1.00 |
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|
| DeepSeek V3.2 DeepSeek | 1424.5 +12.1 | $0.290 |
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| R1 0528 DeepSeek | 1427.9 +15.5 | $0.920 |
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| DeepSeek V3.2 Exp DeepSeek | 1422.4 tie | $0.305 |
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| Qwen3 235B A22B Instruct 2507 Qwen | 1419.3 tie | $0.205 |
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| Qwen3 VL 235B A22B Instruct Qwen | 1420.1 tie | $0.370 |
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| DeepSeek V3.1 DeepSeek | 1419.7 tie | $0.453 |
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| Qwen3 Next 80B A3B Instruct Qwen | 1417.3 tie | $0.268 |
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| DeepSeek V3.1 Terminus DeepSeek | 1417.1 tie | $0.453 |
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| Gemini 2.5 Flash Google | 1417 tie | $0.850 |
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| Qwen3 235B A22B Thinking 2507 Qwen | 1415.2 tie | $0.748 |
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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.