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Qwen 3 Max vs DeepSeek V3.2

China's two open-weights heavyweights compared.

Cheapest
DeepSeek V3.2
$0.28 / 1M tok
Highest quality
Qwen 3 Max
8.2 / 10
Best V-Index
DeepSeek V3.2
28.93
DimensionQwen 3 MaxDeepSeek V3.2
VendorAlibabaDeepSeek
Input price ($ / 1M tok)$0.40$0.28
Quality (1–10)8.28.1
V-Index (Quality ÷ Price)20.5028.93
reasoning precisionHighHigh
coding precisionHighHigh
creative precisionMediumMedium
factual precisionMediumMedium
summarization precisionHighHigh
extraction precisionHighHigh

Verdict

For raw value-per-token, DeepSeek V3.2 wins on V-Index (28.93 vs 20.50). For absolute quality on reasoning-heavy work, Qwen 3 Max is the safer pick. Run your real prompt through the auditor below to see which one wins for your specific workload.

Scaling Roadmap

To scale your prompt engineering workflow: 1. Audit (1-2 days) to identify the optimal model. 2. Implement via API (3-5 days) using the chosen model. 3. Monitor V-Index drift (ongoing) as new models release.

Audit my prompt →

Qwen 3 Max vs DeepSeek V3.2 — the full picture

Qwen 3 Max and DeepSeek V3.2 sit at the top of the 2026 frontier-model market but optimise for different buyers. Qwen 3 Max (Alibaba) lists at $0.40 per 1M input tokens with a curated quality score of 8.2/10. DeepSeek V3.2 (DeepSeek) lists at $0.28 per 1M with a quality score of 8.1/10. The headline gap looks small — but at scale, the price multiple is 1.4x and the V-Index gap is 8.43 points, which compounds fast across a typical 10M-token monthly workload.

The cost math at scale

At 10M input tokens per month — a realistic mid-market workload — Qwen 3 Max costs $4 and DeepSeek V3.2 costs $3. The annualised difference is $14. Whether that gap is worth paying depends entirely on whether the higher-priced model reduces downstream review time enough to cover it. Our auditor measures this directly on your real prompt.

Pick Qwen 3 Max when…
  • for the highest-stakes work where raw quality matters more than cost — Qwen 3 Max edges out on the overall quality score
Pick DeepSeek V3.2 when…
  • when budget is the binding constraint — DeepSeek V3.2 is both cheaper and higher V-Index

Frequently asked questions

Is Qwen 3 Max better than DeepSeek V3.2?
Neither is universally better. Qwen 3 Max has the higher curated quality score (8.2 vs 8.1), but DeepSeek V3.2 has the higher V-Index (28.93 vs 20.50). The right choice depends on whether your workload is quality-bound or cost-bound — run a real prompt through the auditor to see which one wins for your specific use case.
What is V-Index?
V-Index is quality (1–10) divided by input price per 1M tokens (USD). It is a single number that captures value-per-dollar — higher is better. Qwen 3 Max scores 20.50 on V-Index; DeepSeek V3.2 scores 28.93.
Which model hallucinates less?
Both Qwen 3 Max and DeepSeek V3.2 hallucinate at non-zero rates in 2026, but the rate is highly task-dependent. Factual retrieval and citation tasks are the highest-risk categories on either model. The auditor on aiprompt.fyi flags hallucination risk per task type, per model, on your real prompt.
Can I switch between Qwen 3 Max and DeepSeek V3.2 based on the prompt?
Yes — and you should. Frontier-model routing (picking the right model per request based on task type and cost) typically cuts spend 30-50% versus defaulting to one model. The auditor produces a per-task recommendation you can wire directly into a router.
Where does the pricing come from?
Pricing is the public list price per 1M input tokens as of the most recent vendor update. Enterprise contracts often discount 20-40% off list. Quality scores are curated based on published benchmarks and our own task-specific testing — they are not vendor-supplied.

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