Free AI platform comparison

NVIDIA Build (NIM API) vs Qwen (Alibaba): Complete Comparison

NVIDIA Build (NIM API) 和 通义千问 (阿里) 深度对比:免费额度、API 价格、模型能力、国内可用性,帮你选最合适的 AI 工具

Quick decision

NVIDIA Build (NIM API) vs Qwen (Alibaba): Complete Comparison: pricing, free API, and limits

Quick answer: choose NVIDIA Build (NIM API) if its free tier, model family, or ecosystem fits your app better; choose Qwen (Alibaba) if it gives better free API credits, pricing, or access for your workflow. This comparison focuses on free tier, API pricing, limits, setup, and practical alternatives.

Free tierNVIDIA Build (NIM API): Unlimited (40 RPM rate limit) · Qwen (Alibaba): 70M signup tokens via Bailian; runtime/RPM/TPM limits vary by model
Free API无限制(已取消额度限制) vs 7000 万 tokens(新用户一次性;DashScope/Bailian 控制台为准)
Best checkCredits, rate limits, setup friction
DecisionTest both if rank, latency, or access matters
NVIDIA Build (NIM API)

NVIDIA Build (NIM API)

80pts
1 wins
VS
👑Qwen (Alibaba)

Qwen (Alibaba)

95pts
2 wins

🏆 Overall, Qwen (Alibaba) offers more free value (2/6 categories)

📊 Side-by-Side

Category
NVIDIA Build (NIM API)
Qwen (Alibaba)
Free Tier
✅ Unlimited (40 RPM rate limit)
✅ 70M signup tokens via Bailian; runtime/RPM/TPM limits vary by model
Free API
✅ 无限制(已取消额度限制)
✅ 7000 万 tokens(新用户一次性;DashScope/Bailian 控制台为准)
Rate Limit
40 RPM(可申请提升到 200 RPM)
按模型和账号层级不同(RPM/TPM/并发以控制台为准)
Open Source
❌ No
✅ Yes
Free Models
10
4
GitHub Stars
-
⭐ 27,194

🧠 Model Details

NVIDIA Build (NIM API)10 models
MiniMax M2.7
📐 128k⚡ 40 RPM
230B params, coding/reasoning/office all-rounder
Kimi K2.5
📐 1000k⚡ 40 RPM
Moonshot native multimodal agentic model, 15T tokens training, 1M context, top Chinese ability
GLM-5.1
📐 128k⚡ 40 RPM
Zhipu's latest flagship, GLM-5 upgrade, optimized for agentic coding/long-horizon reasoning. GLM-5 deprecated 2026-04-20
DeepSeek V3.2
📐 128k⚡ 40 RPM
671B MoE, coding champion
DeepSeek R1
📐 64k⚡ 40 RPM
671B MoE, reasoning champion
Gemma 4 31B-IT
📐 128k⚡ 40 RPM
Google's latest open source, strong agentic capability, runs on consumer hardware
Nemotron-3-Super-120B
📐 1000k⚡ 40 RPM
NVIDIA's own flagship, hybrid Mamba-Transformer MoE, 1M context, 7.5x throughput vs Qwen3.5-122B
Llama 4 Maverick
📐 128k⚡ 40 RPM
Meta's latest open source LLM
Qwen 3.5
📐 128k⚡ 40 RPM
Alibaba Qwen, native multimodal, 397B params with only 17B active, extremely efficient
Step 3.5 Flash
📐 128k⚡ 40 RPM
StepFun, extremely fast
Qwen (Alibaba)4 models
Qwen3.6-Plus
📐 1000k⚡ Quota and RPM/TPM vary by account
Latest flagship, strong long-context/coding model; verify free-credit coverage, RPM, TPM, and availability in the DashScope console
Qwen3.6-27B
📐 262k (1M extended)⚡ Local/open-source or hosted quota
27B dense open model for local deployment; hosted API quota and free-credit coverage depend on the account tier
Qwen-Max
📐 32k⚡ Higher-cost paid model; quota varies
Alibaba general model; confirm free-credit coverage and output pricing before heavy use
Qwen-VL
📐 32k⚡ Multimodal quota varies
Multimodal model; image/OCR usage may consume different quota than text calls

🎯 Which should you choose?

Choose NVIDIA Build (NIM API) if…

you want Unlimited (40 RPM rate limit) on the free tier, plus 无限制(已取消额度限制) for API tests.

Choose Qwen (Alibaba) if…

you want 70M signup tokens via Bailian; runtime/RPM/TPM limits vary by model on the free tier, plus 7000 万 tokens(新用户一次性;DashScope/Bailian 控制台为准) for API tests.

FAQ

Which is better, NVIDIA Build (NIM API) or Qwen (Alibaba)?

Qwen (Alibaba) scores higher in this free-tier comparison because it wins more of the measured categories. Still, the best choice depends on your exact needs: free chat access, API credits, open-source models, or rate limits.

Does NVIDIA Build (NIM API) have a free tier?

Yes. NVIDIA Build (NIM API) lists Unlimited (40 RPM rate limit) for free users.

Does Qwen (Alibaba) have a free tier?

Yes. Qwen (Alibaba) lists 70M signup tokens via Bailian; runtime/RPM/TPM limits vary by model for free users.

Which one is better for API experiments?

NVIDIA Build (NIM API) offers 无限制(已取消额度限制); Qwen (Alibaba) offers 7000 万 tokens(新用户一次性;DashScope/Bailian 控制台为准). Choose the option with enough credits and rate limits for your prototype.

Source snapshot

Data source: yangmao.ai provider YAML tracker plus curated comparison notes. Official dashboards can change credits, limits, model availability, and pricing without notice; verify in the provider console before production.

yangmao.ai comparison slug
nvidia-build-vs-qwen
NVIDIA Build (NIM API) source
https://build.nvidia.com/
Qwen (Alibaba) source
https://tongyi.aliyun.com
Dataset freshness
NVIDIA Build (NIM API): 2026-06-05 · Qwen (Alibaba): 2026-06-05
Decision data
Free tier, API credits, rate limits, model list, China access notes, and curated comparison dimensions from the yangmao.ai provider tracker.

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