Free AI platform comparison

NVIDIA NIM vs Google AI Studio: Free Model Count Comparison

NVIDIA Build (NIM API) 和 Google AI Studio 免费模型数量深度对比：100+ 模型 vs Gemini 系列，谁的免费 AI 更丰富？

Quick decision

NVIDIA NIM vs Google AI Studio: Free Model Count 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 Google AI (Gemini) 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) · Google AI (Gemini): Gemini free tier unlimited

Free API无限制（已取消额度限制） vs 免费 API 无需信用卡

Best checkCredits, rate limits, setup friction

DecisionTest both if rank, latency, or access matters

NVIDIA Build (NIM API) detailsFree tier, API credits, limits and setup Google AI (Gemini) detailsFree tier, API credits, limits and setup Free AI API directoryCompare all free credits and limits

👑

NVIDIA Build (NIM API)

80pts

1 wins

Google AI (Gemini)

70pts

1 wins

🏆 Overall, NVIDIA Build (NIM API) offers more free value (1/6 categories)

📊 Side-by-Side

🧠 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

Google AI (Gemini)3 models

Gemini 3.1 Pro

📐 2M⚡ 2 RPM (free)

Flagship model, 2M token context window

Gemini 3.1 Flash

📐 1M⚡ 15 RPM (free)

Fast model, 1M token context

Gemini 3.1 Flash Lite

📐 1M⚡ 30 RPM (free)

Lightest model, fastest speed

🎯 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 Google AI (Gemini) if…

you want Gemini free tier unlimited on the free tier, plus 免费 API 无需信用卡 for API tests.

FAQ

Which is better, NVIDIA Build (NIM API) or Google AI (Gemini)?

NVIDIA Build (NIM API) 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 Google AI (Gemini) have a free tier?

Yes. Google AI (Gemini) lists Gemini free tier unlimited 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）; Google AI (Gemini) offers 免费 API 无需信用卡. 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-nim-vs-google-ai-studio
NVIDIA Build (NIM API) source: https://build.nvidia.com/
Google AI (Gemini) source: https://aistudio.google.com
Dataset freshness: NVIDIA Build (NIM API): 2026-06-15 · Google AI (Gemini): 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.

Need one fallback key after this comparison?

Use the provider guides for first-party testing, then route production traffic through one OpenAI-compatible key when multi-provider fallback, budget control, or China-access testing becomes painful.

Get an OpenLLMAPI key →

View NVIDIA Build (NIM API) →View Google AI (Gemini) →

NVIDIA NIM vs Google AI Studio: Free Model Count Comparison: pricing, free API, and limits

NVIDIA Build (NIM API)

Google AI (Gemini)

📊 Side-by-Side

🧠 Model Details

🎯 Which should you choose?

Choose NVIDIA Build (NIM API) if…

Choose Google AI (Gemini) if…

FAQ

Source snapshot

Need one fallback key after this comparison?

Get the Free AI Startup Toolkit