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This is a list of free LLM provider resources accessible via API. Including some cn platform 免费llm api平台（包括cn平台）

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Free LLM API Provider

Last updated: 2025-11-17

This is a list of free llm providers and their rate usage limits.
免费LLM api平台（包括cn平台）

You may also want to read:

Global Platform

Google Gemini

https://ai.google.dev/gemini-api/docs/rate-limits#free-tier

Last updated: 2025-11-18 UTC
RPM: Requests per minute
TPM: Tokens per minute
RPD Requests per day

Model Requests/minute (RPM) Tokens/minute (TPM) Requests/day (RPD)
Gemini 2.5 Pro 2 125,000 50
Gemini 2.5 Flash 10 250,000 250
Gemini 2.5 Flash Preview 10 250,000 250
Gemini 2.5 Flash-Lite 15 250,000 1,000
Gemini 2.5 Flash-Lite Preview 15 250,000 1,000
Gemini 2.0 Flash 15 1,000,000 200
Gemini 2.0 Flash-Lite 30 1,000,000 200

Nvidia

https://build.nvidia.com/explore/discover

Rate limit: Usually up to 40 Requests per minute(RPM)

Nvidia: Maximum API requests accepted in a given timeframe.
Rate limits may vary by model and traffic from other users may cause throttling.
For dedicated availability, deploy models as a dedicated endpoint with NVIDIA NIM.

  • usually open-weight models

OpenRouter

Last updated: 2025-11-17

https://openrouter.ai/models?q=free
https://openrouter.ai/pricing
Models: Based on what OpenRouter (the platform) provide as Free

  • Free usage limits: If you’re using a free model variant (with an ID ending in :free/ (free) )
    you can make up to 20 requests/minute.
    The following per-day limits apply:
    • If you have purchased less than 10 credits ($10), you’re limited to 50 free model requests/Day.
    • If you purchase at least 10 credits , your daily limit is increased to 1000 free model requests/Day.
Model variant (ID) Credits purchased Rate limit (requests/min) Daily limit (requests/day)
*:free < 10 credits 20 50
*:free ≥ 10 credits 20 1000

Ollama

Last updated: 2025-11-20

https://ollama.com/cloud

  • Models：So far Ollama cloud support:
    • deepseek-v3.1: 671b-cloud
    • gpt-oss: 20b/120b-cloud
    • kimi-k2: 1t-cloud
    • kimi-k2-thinking: cloud
    • qwen3-vl: 235b/instruct-cloud
    • qwen3-coder: 480b-cloud
    • glm-4.6: cloud
    • minimax-m2: cloud
    • gemini-3-pro-preview:latest

"Ollama's cloud includes hourly and daily limits to avoid capacity issues. Usage-based pricing will soon be available to consume models in a metered fashion. "
No exact rate limit number.


Cloundflare

Last updated: 2025-11-13

https://developers.cloudflare.com/workers-ai/platform/pricing/#llm-model-pricing

  • Workers Free 10,000 Neurons per day

Last updated: Oct 27, 2025
"Neurons are our way of measuring AI outputs across different models, representing the GPU compute needed to perform your request. Our serverless model allows you to pay only for what you use without having to worry about renting, managing, or scaling GPUs."

Model Neurons/1M Input token Neurons/1M Output token Input:Output=1:1
（Overall/k token）
meta/llama-3.2-1b-instruct 2457 18252 966
meta/llama-3.2-3b-instruct 4625 30475 570
meta/llama-3.1-8b-instruct-fp8-fast 4119 34868 513
meta/llama-3.2-11b-vision-instruct 4410 61493 303
meta/llama-3.1-70b-instruct-fp8-fast 26668 204805 86
meta/llama-3.3-70b-instruct-fp8-fast 26668 204805 86
deepseek-ai/deepseek-r1-distill-qwen-32b 45170 443756 41
mistral/mistral-7b-instruct-v0.1 10000 17300 733
mistralai/mistral-small-3.1-24b-instruct 31876 50488 243
meta/llama-3.1-8b-instruct
@cf/meta/llama-3-8b-instruct		 25608 75147 199
meta/llama-3.1-8b-instruct-fp8 13778 26128 501
meta/llama-3.1-8b-instruct-awq
@cf/meta/llama-3-8b-instruct-awq		 11161 24215 565
meta/llama-2-7b-chat-fp16 50505 606061 30
meta/llama-4-scout-17b-16e-instruct 24545 77273 196
google/gemma-3-12b-it 31371 50560 244
qwen/qwq-32b 60000 90909 133
qwen/qwen2.5-coder-32b-instruct 60000 90909 133
qwen/qwen3-30b-a3b-fp8 4625 30475 570
openai/gpt-oss-120b 31818 68182 200
openai/gpt-oss-20b 18182 27273 440
aisingapore/gemma-sea-lion-v4-27b-it 31876 50488 243
ibm-granite/granite-4.0-h-micro 1542 10158 1709

Github

Last updated: 2025-11-17

https://docs.github.com/en/github-models/use-github-models/prototyping-with-ai-models#rate-limits

Tier / Model Request/Mintute
(Copilot Free)		 Request/Day
(Copilot Free)		 Tokens/request
(in/out)		 Concurrent requests
(Copilot Free)
Low tier models 15 150 8000 in / 4000 out 5
High tier models 10 50 8000 in / 4000 out 2
DeepSeek-R1 / DeepSeek-R1-0528 / MAI-DS-R1 1 8 4000 in / 4000 out 1
xAI Grok-3 1 15 4000 in / 4000 out 1
xAI Grok-3-Mini 2 30 4000 in / 8000 out 1

Mistral

https://docs.mistral.ai/deployment/laplateforme/tier/

  • From community&reports; No offcial list
Plan / Tier Requests/second (RPS) Tokens/minute (TPM) Tokens/month
Mistral API Free 1/sec 500k 1 billion

IBM

Last updated: 2025-11-17

https://www.ibm.com/products/watsonx-ai/pricing

Plan / Tier Requests/second (RPS) Tokens/month
watsonx.ai Free tier
(Foundation Models)		 2/sec 300k

Cohere

Last updated: 2025-11-17

https://docs.cohere.com/docs/rate-limits

Endpoint Trial rate limit (requests/min) Trial monthly cap (calls/month)
Chat 20/min 1000/month
Generate (legacy) 5 1000
Default (anything not covered above) 500 1000

All endpoints are limited to 1,000 calls per month with a trial key

Z.ai (GLM-4.5-Flash)

https://docs.z.ai/guides/overview/pricing

No offical rate usage limits

Groq

Last updated: 2025-11-17

https://console.groq.com/docs/rate-limits

Model ID Request/Minute Request/Day Token/Minuite Token/Day
allam-2-7b 30 7K 6K 500K
groq/compound & groq/compound-mini 30 250 70K -
llama-3.1-8b-instant 30 14.4K 6K 500K
llama-3.3-70b-versatile 30 1K 12K 100K
meta-llama/llama-4-maverick-17b-128e-instruct 30 1K 6K 500K
meta-llama/llama-4-scout-17b-16e-instruct 30 1K 30K 500K
moonshotai/kimi-k2-instruct
moonshotai/kimi-k2-instruct-0905		 60 1K 10K 300K
openai/gpt-oss-20b & gpt-oss-120b 30 1K 8K 200K
qwen/qwen3-32b 60 1K 6K 500K

Celebras

Last updated: 2025-11-17

https://inference-docs.cerebras.ai/support/rate-limits

Model Requests/Minute Requests/Hour Requests/Day Tokens/Minute Tokens/Hour Tokens/Day
gpt-oss-120b 30 900 14.4K 60K 1M 1M
llama3.1-8b 30 900 14.4K 60K 1M 1M
llama-3.3-70b 30 900 14.4K 60K 1M 1M
qwen-3-32b 30 090*? 14.4K 60K 1M 1M
qwen-3-235b-a22b-instruct-2507 30 900 14.4K 60K 1M 1M
zai-glm-4.6 10 100 100 150K 1M 1M

*offcial list shows "090", could be typo

Together AI (certain free-endpoint:no text models now)

Last updated: 2025-11-17

https://www.together.ai/models - Llama3-70b
https://www.together.ai/models/llama-3-3-70b-free
https://www.together.ai/models/deepseek-r1-distilled-llama-70b-free

NO FREE TIER Now
https://support.together.ai/articles/1862638756-changes-to-free-tier-and-billing-july-2025


CN Platform

ModelScope(魔搭社区）(仅限cn/only cn）

https://modelscope.cn/docs/model-service/API-Inference/limits

  • 需要须首先绑定阿里云账号。对应云账号需已通过实名认证后，才可正常使用API-Inference
  • 每位魔搭注册用户，当前每天允许进行总数为2000次的API-Inference调用，其中每单个模型上限不超过500次，具体每个模型的限制可能随时动态调整。
  • 在每个模型每天不超过500次调用的基础上，平台可能对于部分模型再进行单独的限制
    • 例如，deepseek-ai/DeepSeek-R1-0528，deepseek-ai/DeepSeek-V3.2-Exp等规格较大模型，当前限制单模型每天100次调用额度。其他模型的API调用，也可能会有类似的限制并进行动态调整

Tencent-Hunyuan 腾讯混元

(Hunyuan-lite free; 1 M free token for other models/per account)

  • 首次开通腾讯混元大模型服务后，混元生文将发放一定量级的免费调用额度（100M tokens）
    • 资源包有效期为1年，自开通服务之日起1年内若免费资源包次数未使用完，则过期作废
  • Hunyuan-lite 为免费模型
    https://cloud.tencent.com/document/product/1729/97731

Volcengine 火山引擎(平台） （500 point 资源点/day）

Tongyi Qwen free (no point cost; 100 time/day)
https://www.volcengine.com/docs/84458/1585102
https://www.volcengine.com/docs/84458/1585097

  • 个人免费版为 500资源点/天
  • 目前（2025.11.03），扣子模型中仅豆包模型、DeepSeek 模型和 Kimi-K2 模型收费。使用 Kimi（8K）等其他扣子提供的模型暂不收取费用，但每日调用次数有一定限制 （100次/天）
模型名称 条件
（千tokens）		 输入单价
(资源点/ktok)		 输出单价
(资源点/ktok)		 合计单价
(资源点/ktok)		 500资源点可用总tokens (ktok)
豆包·1.6·视觉理解·250815（Doubao-Seed-1.6-vision） [0,32] 0.8 8 8.8 56.82
豆包·1.6·视觉理解·250815（Doubao-Seed-1.6-vision） (32,128] 1.2 16 17.2 29.07
豆包·1.6·深度思考 / 豆包·1.6·深度思考·250715（Doubao-Seed-1.6-thinking） [0,32] 0.8 8 8.8 56.82
豆包·1.6·深度思考 / 豆包·1.6·深度思考·250715（Doubao-Seed-1.6-thinking） (32,128] 1.2 16 17.2 29.07
豆包·1.6·自动深度思考（Doubao-Seed-1.6） [0,32]&[0,0.2] 0.8 2 2.8 178.57
豆包·1.6·自动深度思考（Doubao-Seed-1.6） [0,32]&(0.2,+∞] 0.8 8 8.8 56.82
豆包·1.6·自动深度思考（Doubao-Seed-1.6） (32,128] 1.2 16 17.2 29.07
豆包·1.6·极致速度 / 豆包·1.6·极致速度·250828 / 豆包·1.6·极致速度·250715（Doubao-seed-1.6-flash） [0,32] 0.15 1.5 1.65 303.03
豆包·1.6·极致速度 / 豆包·1.6·极致速度·250828 / 豆包·1.6·极致速度·250715（Doubao-seed-1.6-flash） (32,128] 0.3 3 3.3 151.52
豆包·1.5·Pro·视觉深度思考（Doubao-1.5-thinking-vision-pro） 默认 3 9 12 41.67
豆包·1.5·Pro·视觉理解-250328（Doubao-1.5-vision-pro） 默认 3 9 12 41.67
豆包·1.5·Pro·视觉理解（Doubao-1.5-vision-pro-32k） 默认 3 9 12 41.67
豆包·1.5·Pro·深度思考·128K / 豆包·1.5·Pro·视觉推理·128K（Doubao-1.5-thinking-pro） 默认 4 16 20 25.00
豆包·1.5·Pro·角色扮演 / 豆包·1.5·Pro·角色扮演·250715（Doubao-1.5-pro-32k） 默认 0.8 2 2.8 178.57
豆包·1.5·Pro·32k（Doubao-1.5-pro-32k） 默认 0.8 2 2.8 178.57
豆包·1.5·Pro·256k（Doubao-1.5-pro-256k） 默认 5 9 14 35.71
豆包·1.5·Lite·32k（Doubao-1.5-lite-32k） 默认 0.3 0.6 0.9 555.56
豆包·通用模型·Lite（Doubao-lite-32k） 默认 0.3 0.6 0.9 555.56
豆包·工具调用 / 豆包·角色扮演·Pro（Doubao-pro-32k） 默认 0.8 2 2.8 178.57
DeepSeek-V3.1 默认 4 12 16 31.25
DeepSeek-V3 / DeepSeek-V3 工具调用 / DeepSeek-V3-0324 默认 2 8 10 50.00
DeepSeek-R1 / DeepSeek-R1 工具调用 / DeepSeek-R1-250528 默认 4 16 20 25.00
Kimi-K2 默认 4 16 20 25.00
  • 使用豆包 1.6 模型时，输入 token 单价和输出 token 单价均由输入长度决定。例如调用豆包·1.6·自动深度思考模型时，当 1 个请求的输入长度为 200 千tokens，输出长度为 14 千token 时，满足条件输入长度 (128, 256]，将采用计费项 **Doubao-Seed-1.6-256k（输入）**和 Doubao-Seed-1.6-256k（输出）。
  • Doubao-Seedance-1.0-lite、Doubao-Seedance-1.0-pro 模型各自为每个扣子账号（主账号+子账号）提供累计 100 万tokens 免费额度。免费额度耗尽后如需继续使用，会从账号中扣减资源点。

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This is a list of free LLM provider resources accessible via API. Including some cn platform 免费llm api平台（包括cn平台）

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