Free AI platform comparison

NVIDIA Build vs DeepSeek: Free API, Models, Pricing & China Access

Choose NVIDIA Build if you want to test many NIM-hosted models for free. Choose DeepSeek if you need China-direct access, low-cost API calls, and DeepSeek model quality.

Quick decision

NVIDIA Build vs DeepSeek: Free API, Models, Pricing & China Access: 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 DeepSeek 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) · DeepSeek: 50 requests/day
Free API无限制(已取消额度限制) vs $5
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
👑DeepSeek

DeepSeek

95pts
1 wins

🏆 Overall, DeepSeek offers more free value (1/6 categories)

📊 Side-by-Side

Category
NVIDIA Build (NIM API)
DeepSeek
Free Tier
✅ Unlimited (40 RPM rate limit)
✅ 50 requests/day
Free API
✅ 无限制(已取消额度限制)
✅ $5
Rate Limit
40 RPM(可申请提升到 200 RPM)
2 RPM
Open Source
❌ No
✅ Yes
Free Models
10
4
GitHub Stars
-
-

🧠 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
DeepSeek4 models
DeepSeek-V4-Pro
📐 1000k⚡ Rate limited
Released April 2026, 1.6T param MoE (49B active), 1M context, thinking/non-thinking modes
DeepSeek-V4-Flash
📐 1000k⚡ Rate limited
Lightweight V4, 284B params (13B active), 1M context, excellent value
DeepSeek-V3
📐 64k⚡ 50 RPD
Previous flagship, still available
DeepSeek-R1
📐 64k⚡ 50 RPD
Reasoning model, strong at math/code

🎯 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 DeepSeek if…

you want 50 requests/day on the free tier, plus $5 for API tests.

FAQ

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

DeepSeek 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 DeepSeek have a free tier?

Yes. DeepSeek lists 50 requests/day 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); DeepSeek offers $5. 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-deepseek
NVIDIA Build (NIM API) source
https://build.nvidia.com/
DeepSeek source
https://platform.deepseek.com
Dataset freshness
NVIDIA Build (NIM API): 2026-06-15 · DeepSeek: 2026-06-15
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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