Top 9 Google Gemini API Alternatives 2026
Google Gemini models with a free tier and published per-million-token rates
Trusted by 2M+ software buyers annually.
Main Features
- Batch Inference
- Code Generation
- Context Window
- Embedding Models
Pricing
Starts from $0.30/million input tokens, also offers free forever plan
Google Gemini API is a Large Language Models (LLMs) platform. Teams looking for alternatives typically need better pricing flexibility, easier deployment, or a closer feature fit for their specific use case. Below you'll find 9 vetted Large Language Models (LLMs) alternatives ranked by user rating, with filters to narrow by pricing, platform, and features — so you can find the right fit for 2026.
Google Gemini API vs Top Alternatives at a Glance
Side-by-side comparison of pricing, user rating, and free trial availability to help you decide faster.
| Tool | Best For | Pricing | Rating | Free Option |
|---|---|---|---|---|
| Google Gemini API Current | Large Language Models (LLMs) | $0.30 | No reviews | ✓ Yes |
 IBM Granite | Large Language Models (LLMs) | $0.0636 | No reviews | ✗ No |
 Z.ai | Large Language Models (LLMs) | $0.15 | No reviews | ✓ Yes |
 Cohere | Large Language Models (LLMs) | $0.50 | No reviews | ✓ Yes |
 Perplexity Sonar | Large Language Models (LLMs) | $0.25 | No reviews | ✗ No |
 Alibaba Qwen | Large Language Models (LLMs) | $0.05 | No reviews | ✗ No |
Showing 1-9 out of 9
List of the Top Google Gemini API alternatives as of November 2026
Compare business software, products, and services to find the best solution for your business or organization. Use the filters on the left to drill down by category, pricing, features, market segment, user ratings, and more.
IBM Granite — from $0.0636
IBM's open Granite models, priced per million tokens on watsonx.ai
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What is IBM Granite?
Granite is the model family IBM trains and releases under an open licence, aimed at regulated enterprises that want a model they can inspect, host and govern. IBM serves Granite commercially on watsonx.ai and publishes a pay-as-you-go rate per million tokens for part of the line. On the card ...
Read moreCommon Features
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Published Token Pricing
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Context Window
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Function Calling
+ 2 more
Unique Features
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Open Weights
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Self-Hosted Deployment
Pricing
Starts from $0.0636/million input tokens
Z.ai — from $0.15
GLM models with open weights, a free Flash tier and USD token rates
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What is Z.ai?
Z.ai, the company behind the GLM family, publishes open weights for its models and runs a priced API beside them with every rate stated in US dollars per million tokens. The card read on 2026-11-08 puts GLM-5.3 at 1.40 dollars per million input tokens and 4.40 per million output tokens, ...
Read moreCommon Features
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Published Token Pricing
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Context Window
-
Function Calling
+ 5 more
Unique Features
-
Open Weights
-
Self-Hosted Deployment
Pricing
Starts from $0.15/million input tokens, also offers free forever plan
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Own the software buyers are comparing here? See who's weighing you against rivals — and who's comparing your competitors while you're not in the running.
Cohere — from $0.50
Enterprise Command models with open weights and private deployment
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What is Cohere?
Cohere trains the Command, Embed and Rerank families and sells them for enterprise retrieval and agent work, with a strong emphasis on running inside a customer environment rather than only through a hosted API. Free trial keys let a developer evaluate every model at no cost, capped at 1,000 ...
Read moreCommon Features
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Published Token Pricing
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Context Window
-
Function Calling
+ 5 more
Unique Features
-
Open Weights
-
Self-Hosted Deployment
Pricing
Starts from $0.50/million input tokens, also offers free forever plan
Perplexity Sonar — from $0.25
Perplexity's own Sonar model, priced per million tokens with live web grounding
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What is Perplexity Sonar?
Sonar is the model Perplexity trains and runs itself, built to answer with citations drawn from a live web index rather than from training data alone. It is sold through the Perplexity API platform at a rate printed per million tokens. On the card read on 2026-11-08, Sonar is 0.25 dollars per ...
Read moreCommon Features
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Published Token Pricing
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Context Window
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Streaming API
+ 2 more
Unique Features
No unique features
Pricing
Starts from $0.25/million input tokens
Alibaba Qwen — from $0.05
Qwen models from Alibaba with open weights and regional token rates
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What is Alibaba Qwen?
Qwen is the model family Alibaba trains, released with open weights for many sizes and served commercially through Alibaba Cloud Model Studio, which prints a rate per million tokens for every model. Rates differ by region, and the same model is cheaper in Beijing than in Singapore. On the ...
Read moreCommon Features
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Published Token Pricing
-
Context Window
-
Function Calling
+ 5 more
Unique Features
-
Open Weights
-
Self-Hosted Deployment
Pricing
Starts from $0.05/million input tokens
DeepSeek — from $0.15
Open-weight DeepSeek models with off-peak token rates and cache pricing
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What is DeepSeek?
DeepSeek trains open-weight reasoning and general models and runs a priced API alongside the weight releases, so the same family can be called over HTTP or hosted on your own hardware. The rate card is unusual in two ways. It prices context cache hits separately from cache misses, and it ...
Read moreCommon Features
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Published Token Pricing
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Context Window
-
Function Calling
+ 4 more
Unique Features
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Open Weights
-
Self-Hosted Deployment
Pricing
Starts from $0.15/million input tokens
OpenAI — from $0.05
Frontier GPT models sold by the token through the OpenAI API
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What is OpenAI?
OpenAI develops the GPT family and sells access to it through its own API, with a rate printed per million tokens for every model. The published card separates the tokens a request reads from the tokens the model writes, and steps the rate up once a prompt passes 272,000 tokens. On the rate ...
Read moreCommon Features
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Published Token Pricing
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Context Window
-
Function Calling
+ 8 more
Unique Features
No unique features
Pricing
Starts from $0.05/million input tokens
xAI Grok — from $1.00
Grok models from xAI with a published rate per million tokens
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What is xAI Grok?
xAI trains the Grok family and sells it through its own API, printing a rate per million tokens for every model in the public docs. The card uses two bands: one rate below 200,000 prompt tokens and a higher one at or above it, and a request that reaches the threshold is billed at the higher ...
Read moreCommon Features
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Published Token Pricing
-
Context Window
-
Function Calling
+ 5 more
Unique Features
No unique features
Pricing
Starts from $1.00/million input tokens
Upstage Solar — from $0.10
Solar models from Upstage with low published rates and cached input pricing
Add to compare
What is Upstage Solar?
Upstage trains the Solar family and sells it through its own console with a rate per million tokens printed for each model, separately for fresh input, cached input and output. On the card read on 2026-11-08, Solar Pro 4 is 0.30 per million input tokens, 0.06 for cached input and 1.20 for ...
Read moreCommon Features
-
Published Token Pricing
-
Context Window
-
Function Calling
+ 5 more
Unique Features
No unique features
Pricing
Starts from $0.10/million input tokens
How Google Gemini API competitors stack up
There are 9 direct Google Gemini API competitors in Large Language Models (LLMs). The ones that come up most often are IBM Granite, Z.ai and Cohere. Each is compared against Google Gemini API on rating, pricing and feature coverage below.
Tools similar to Google Gemini API
Searches for "sites like Google Gemini API" and "apps like Google Gemini API" land on the same set of options as "Google Gemini API alternatives" — the 9 options below cover both, whether you want a like-for-like replacement or something lighter.
Why each one belongs on this list
What to consider when replacing Google Gemini API
Where the 9 large language models (llms) alternatives stand on price and rating: 2 offer a free tier.
Our ranking, explained simply.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
