Best LLM APIs 2026
Hosted model APIs, studios, and local inference servers. We list 19 tools with researched pricing and features; 13 of them can be used for free.
How this list is ordered: Sorted by how much you can use for free (free or open source first, then free plan with paid tiers, then paid only), then by the number of documented features, then alphabetically. No ratings or reviews are used.
These lists are not benchmark scores; they follow the ordering above. How benchmark evidence is labeled
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OpenBMB image-text-to-text model on Hugging Face. Transformers weights, multimodal, MoE.
- Understands single images, multiple images, and video
- Decodes 13+ tokens/s on iPhone 17 Pro Max in 3 GB
- Supports mixed 4x and 16x visual token compression
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NVIDIA's catalog of inference microservices and trial APIs.
- Run free inference on listed models through endpoints
- Call pre-built skills from an agent
- Start from blueprints with workflows and code samples
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Wafer-scale inference for open models.
- Runs inference up to 30 times faster than GPUs
- Serves models in the cloud and on-premise
- Trains, fine-tunes, and serves models on one platform
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Model hub, datasets, and hosted inference. Paid plans from $9/month.
- Host unlimited public models, datasets, and applications
- Browse 2M+ models, 1M+ apps, and 500k+ datasets
- Call 45,000+ provider models through one API
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Desktop app for running local models with an OpenAI-compatible server. Paid plans from $20/month.
- Create and edit documents, slides, PDFs, and software
- Run coding tasks, automations, and computer control
- Transcribe speech on-device in real time
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Mistral's model API and Le Chat product. Paid plans from $14.99/month.
- Customize open-weight models on your data with Forge
- Build and govern agents and applications in Studio
- Run models on-prem, in your VPC, or Mistral's cloud
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Local app for running open models on your own machine. Paid plans from $20/month.
- Run open models locally on macOS, Windows, and Linux
- Run open models in the cloud with usage credits
- Local runs on your own hardware stay unlimited
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One API that routes requests to many model providers.
- Access over 500 models across more than 80 providers
- Generate text, images, videos, and audio through one interface
- Create an API key compatible with the OpenAI format
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API for running published models, including image and language models.
- Run models through a cloud API in Node, Python, or HTTP
- Fine-tune models using your own data
- Deploy custom models packaged with Cog on dedicated hardware
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Inference and fine-tuning API for open models.
- Serve open models on demand through inference APIs
- Process async batch jobs up to 30 billion tokens
- Reserve inference capacity with a 99% uptime SLA
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Model inference inside Cloudflare Workers. Paid plans from $0.011 / 1,000 Neurons.
- Run machine learning models on serverless GPUs
- Call models from Workers, Pages, or the API
- Use 50+ open-source models from the catalog
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Console and API for Claude models.
- Create agents that use Claude models
- Build applications on Claude models
- Run agents on managed infrastructure
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Google Cloud platform for Gemini and other models.
- Build agents and scale, govern, and optimize them
- Deploy agents and applications
- Offer sample code and notebooks
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Hosted inference API for open models.
- APIs for text, speech, image, music, and video models
- Hourly on-demand rental of NVIDIA DGX B300 GPUs
- Language models billed per token; others by runtime
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DeepSeek's models and API.
- Publishes open-source models DeepSeek-V4 and DeepSeek-R1
- Chat on the web, in the app, and on desktop
- API in OpenAI format and Anthropic format
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Inference API aimed at image, video, and audio models.
- Call 1,000+ image, video, audio, and 3D models via one API
- Deploy your own or fine-tuned models on serverless GPUs
- Train and fine-tune models on dedicated GPU clusters
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Inference platform for open models.
- Train with a guided plan, your config, or custom RL code
- Deploy each training checkpoint to production in seconds
- Serve open or your own models on serverless or dedicated GPUs
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Inference platform for open language models.
- Inference and fine-tuning that fit existing data centers
- OpenAI-compatible APIs for porting applications
- Autoscaling, load balancing, monitoring, and model management
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API documentation for xAI's Grok models.
- Generate and stream text with reasoning and structured outputs
- Generate and edit images, including multi-image edits
- Generate, edit, and extend video from images or text
Popular comparisons
Sourced rates and allowances
The list above is the directory category, ordered by the site’s usual rule. The table below is separate. Each cell is a figure copied from the linked provider page. A blank rate means that page was not copied into a number. Nothing in the table is a recommendation.
Last checked 2026-10-22.
| Host | Allowance the docs state | One listed rate | On this site | Source |
|---|---|---|---|---|
| Gemini API | No public free-tier RPM, TPM, or RPD table. Free spend cap is N/A. | No dollar rate copied. The pricing page did not yield a clean per-model table. | Free-tier note | Rate limits |
| Groq | freeRows for openai/gpt-oss-120b: 30 RPM, 1K RPD, 8K TPM, 200K TPD. The same page says the visible table is the Developer-plan base limits. | openai/gpt-oss-20b $0.075 input / $0.30 output per 1M. Context 131,072 tokens. | Free-plan note | Models |
| Cerebras | No renewing free tier. $5 for 30 days after a verified card. Rate-limits page: gpt-oss-120b 5 RPM and 30K uncached TPM. Model card: 30 requests/min and 60k input tokens/min. | gpt-oss-120b $0.35 input / $0.75 output per 1M. | Trial note | Model card |
| Mistral | Free mode is the default account. Public docs do not publish Free-mode RPM or TPM. | mistral-small-2603 $0.15 input / $0.60 output per 1M. Context printed as 256k. | Free-mode note | Model card |
| Cohere | Trial keys: 1,000 API calls a month. Chat trial table: 20 requests per minute. | No per-million token price was copied. | Trial-key note | Rate limits |
| OpenRouter | Ids ending in :free: 20 requests per minute, and 50 or 1,000 requests per day. The higher-ceiling sentence leaves {FREE_MODEL_CREDITS_THRESHOLD - 1} unrendered. | FAQ: inference is passed through with no markup. A credit-purchase fee is charged; the percent formula is unrendered. | :free note | Limits |
| GitHub Models | Fully retired as of July 30, 2026. No current rate table. | No current price. | Retirement note | GitHub Models |
| Cloudflare Workers AI | 10,000 Neurons per day, resetting at 00:00 UTC. Then $0.011 per 1,000 Neurons on Workers Paid. | @cf/meta/llama-3.2-1b-instruct $0.027 input / $0.201 output per 1M. Context 60,000 tokens. | Neuron note | Pricing |
| OpenAI | No free-tier table was copied. Shutdown dates are on the deprecations page. | gpt-6-luna $0.10 input / $0.50 output per 1M. Context 1,050,000 tokens. | Deprecations | gpt-6-luna |
| Anthropic | No free-tier table was copied. Retirement dates are on the deprecations page. | claude-haiku-5-5 $0.10 input / $0.50 output per 1M when the prompt is up to 100,000 tokens. | Deprecations | Pricing |
| Amazon Bedrock | Legacy date, EOL date, and public extended access. The lifecycle page does not name a replacement. | No per-million price was copied. | EOL table | Legacy lifecycle |
| Azure OpenAI | Retirement dates are on the Foundry schedule. Rows with an em-dash retirement date are omitted. | No per-million price was copied. | Retirement schedule | Schedule |
| Together | No free allowance was copied from the two model pages. | zai-org/GLM-5.3-Flash $0.15 input / $0.50 output per 1M. Context label 1M. | Listed prices | GLM 5.3 Flash |
| DeepInfra | No free allowance was copied from the pricing table. | DeepSeek-V4-Flash-0731 $0.06 input / $0.18 output per 1M. Cached input $0.015. Context label 1024k. | Listed prices | Pricing |