Free AI platform comparison

NVIDIA Build (NIM API) vs Together AI: Complete Comparison

NVIDIA Build (NIM API) 和 Together AI 深度对比:免费额度、API 价格、模型能力、中国大陆可用性,帮你选最合适的 AI 工具

Quick decision

NVIDIA Build (NIM API) vs Together AI: 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 Together AI 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) · Together AI: Credit-based ($5 signup bonus)
Free API无限制(已取消额度限制) vs $5(注册赠送)
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
Together AI

Together AI

80pts
0 wins

🤝 It's a tie — both have their strengths

📊 Side-by-Side

Category
NVIDIA Build (NIM API)
Together AI
Free Tier
✅ Unlimited (40 RPM rate limit)
✅ Credit-based ($5 signup bonus)
Free API
✅ 无限制(已取消额度限制)
✅ $5(注册赠送)
Rate Limit
40 RPM(可申请提升到 200 RPM)
Varies by model
Open Source
❌ No
❌ No
Free Models
10
6
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
Together AI6 models
Llama 3.3 70B Turbo
📐 128k⚡ Rate limited
Available within free credits, Turbo accelerated
Llama 4 Maverick
📐 128k⚡ Rate limited
Meta's latest Llama 4, MoE architecture
Mixtral 8x22B
📐 64k⚡ Rate limited
Available within free credits
DeepSeek V3
📐 128k⚡ Rate limited
DeepSeek V3, available within free credits
FLUX.1 Schnell (Free)
📐 ⚡ 无限制
FLUX image generation completely free, no credits consumed! Unlimited use
FLUX.1 Schnell
📐 ⚡ Rate limited
FLUX high-quality version, consumes credits

🎯 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 Together AI if…

you want Credit-based ($5 signup bonus) on the free tier, plus $5(注册赠送) for API tests.

FAQ

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

NVIDIA Build (NIM API) and Together AI are closely matched in this comparison. Test both if your workload depends on model quality, API latency, or regional access.

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

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

Does Together AI have a free tier?

Yes. Together AI lists Credit-based ($5 signup bonus) 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); Together AI offers $5(注册赠送). 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-together
NVIDIA Build (NIM API) source
https://build.nvidia.com/
Together AI source
https://www.together.ai
Dataset freshness
NVIDIA Build (NIM API): 2026-06-16 · Together AI: 2026-06-16
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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