Skip to main content

LLM API

UnificAlly serves 43 large language models from Anthropic, OpenAI, xAI, Google, DeepSeek, Cursor and Moonshot AI through one API key. Rates start at $0.015 per 1M input tokens (GPT 6 Luna), billed per token from a prepaid balance with no subscription. Call any of them in the OpenAI format at /v1/chat/completions or the Anthropic format at /v1/messages, with streaming and tool use.

All 43 LLMs on UnificAlly

Our rates as of ; refreshed from the live price list on every deploy.
ModelStarting rate
Claude Haiku 5.5 API

Anthropic

1M context, 128k output, 72.4% OSWorld 2.1, the first Haiku with adaptive thinking.

from $0.0495 in / $0.2475 out per 1M tokens
GPT 6.1 Sol API

OpenAI

Near-Astra coding and computer use at a fifth of Astra's price, 75.2% DeepSWE, 1M context, cached input at half GPT 6 Sol's rate.

from $0.3 in / $1.5 out per 1M tokens
Claude Sonnet 5.5 API

Anthropic

1M context, 128k output, 70.6% Terminal-Bench 4.0, 30%+ faster than Sonnet 5.

$0.99 in / $4.95 out per 1M tokens
GPT 6 Luna API

OpenAI

OpenAI's cheapest GPT-6, 1M context, 66.6% DeepSWE for $0.22 a task, 93% less than Opus 5.

from $0.015 in / $0.075 out per 1M tokens
GPT 6 Sol API

OpenAI

1M context, image input, 56.4% Agents' Last Exam at 60% less per task than Opus 5, half the price of GPT 5.6 Sol.

from $0.3 in / $1.5 out per 1M tokens
Claude Opus 5.5 API

Anthropic

1M context, 128k output, 66.4% Terminal-Bench 4.0.

$1 in / $5 out per 1M tokens
DeepSeek V4 Flash API

DeepSeek

Versioned V4 Flash ID, now answered by V4.1 Flash. 1M context, 384K max output.

$0.1125 in / $0.45 out per 1M tokens
DeepSeek V4 Pro API

DeepSeek

1.6T MoE with 49B active, 1M context, 384K max output, thinking on by default.

$0.51 in / $1.52 out per 1M tokens
DeepSeek V4.1 Flash API

DeepSeek

1M context, 384K max output, 552B MoE with 16B active, 74.2% DeepSWE v1.1.

$0.1125 in / $0.45 out per 1M tokens
Grok 4.7 API

xAI

500k context, image input, four reasoning efforts, 46.3% CursorBench 4.0, #5 Harvey Legal Agent.

$0.3 in / $0.9 out per 1M tokens
GPT 6 Astra API

OpenAI

1M context, image input, effort up to max, 58.2% Terminal-Bench 4.0, 59.3% Agents' Last Exam.

from $1.5 in / $7.5 out per 1M tokens
Gemini 3.5 Flash API

Google

1M context, 5 reasoning efforts incl. minimal, 83.6% MCP Atlas, 57.9% Finance Agent v2, 189 tok/s.

$0.45 in / $2.7 out per 1M tokens
Claude Fable 5.1 API

Anthropic

1M context, 128k output, 55.8% Terminal-Bench 4.0, 90.0% ARC-AGI-2.

$6.25 in / $31.25 out per 1M tokens
Gemini 3.8 Flash API

Google

1M context, four reasoning efforts, 73.7% DeepSWE v1.1, 89.4% Terminal-Bench 2.1, 305 tok/s.

$0.225 in / $1.125 out per 1M tokens
Grok 4.5 API

xAI

500k context, image input, three reasoning efforts, 79.3% Terminal-Bench 2.1, trained with Cursor.

$0.3 in / $0.9 out per 1M tokens
Grok 4.3 API

xAI

1M context, image input, four reasoning efforts incl. none, 115.8 tok/s, 98% Tau2-Bench Telecom.

$0.1875 in / $0.375 out per 1M tokens
Grok Build 0.1 API

xAI

256k context, image input, agentic coding with function calling and MCP, 0.53s first token.

$0.15 in / $0.3 out per 1M tokens
Grok 4.20 Reasoning API

xAI

1M context, image input, thinking on, agentic tool calling, 98.9 tok/s, 72.2% SWE-bench Verified.

$0.1875 in / $0.375 out per 1M tokens
Grok 4.20 Non-Reasoning API

xAI

1M context, image input, no thinking phase, 0.64s first token, 95.8 tok/s, agentic tool calling.

$0.1875 in / $0.375 out per 1M tokens
Grok 4.20 Multi-Agent API

xAI

Leader agent plus 4 or 16 sub-agents in parallel, 1M context, image input, Responses API only.

$0.1875 in / $0.375 out per 1M tokens
Grok 4.6 API

xAI

500k context, image input, four reasoning efforts, 95.6% SWE-bench Verified, #1 CursorBench 3.2.

$0.3 in / $0.9 out per 1M tokens
Gemini 3.7 Flash API

Google

1M context, 64k output, text/image/audio/video input, ~340 tok/s, 97% MRCR long-context recall.

$0.225 in / $1.125 out per 1M tokens
Gemini 3.6 Flash API

Google

1M context, 65k output, multimodal input, 83% OSWorld-Verified, 234 tok/s output speed.

$0.45 in / $2.25 out per 1M tokens
Claude Opus 5 API

Anthropic

1M context, 128k output, image input, 43.3% Frontier-Bench v0.1, 30.2% ARC-AGI 3.

$1.25 in / $6.25 out per 1M tokens
Kimi K3 API

Moonshot AI

2.8T parameters, open weights, 1M context, 131k default output, always-on thinking.

$2.25 in / $11.25 out per 1M tokens
GPT 5.6 Sol API

OpenAI

1M context, 128k output, 88.8% Terminal-Bench 2.1, 80 Coding Agent Index, ultra subagent mode.

from $0.75 in / $4.5 out per 1M tokens
GPT 5.6 Terra API

OpenAI

1M context, 128k output, 77.4 Coding Agent Index, beats Fable 5 on Agents' Last Exam.

from $0.375 in / $2.25 out per 1M tokens
GPT 5.6 Luna API

OpenAI

Fastest GPT 5.6, 1M context, beats Fable 5 on Agents' Last Exam, ahead of Opus 4.8 on coding.

from $0.15 in / $0.9 out per 1M tokens
Claude Fable 5 API

Anthropic

1M context, 128k output, text and image input, adaptive thinking, top Arena Text and Vision rank.

$6.25 in / $31.25 out per 1M tokens
Claude Sonnet 4.5 API

Anthropic

200k context, 64k output, 77.2% SWE-bench Verified, 61.4% OSWorld, extended thinking.

See model page
Claude Opus 4.5 API

Anthropic

200k context, 64k output, 80.9% SWE-bench Verified, effort controls from low to high.

See model page
Claude Haiku 4.5 API

Anthropic

200k context, 64k output, 73.3% SWE-bench Verified, 50.7% OSWorld, extended thinking.

$0.25 in / $1.25 out per 1M tokens
Claude Sonnet 4.6 API

Anthropic

1M context, 128k output, 79.6% SWE-bench Verified, 72.5% OSWorld, adaptive thinking.

$0.75 in / $3.75 out per 1M tokens
Claude Opus 4.6 API

Anthropic

1M context, 128k output, effort controls, top Arena Document and Search rank.

$1.25 in / $6.25 out per 1M tokens
Claude Sonnet 5 API

Anthropic

Agentic coding, 1M context, 128k output, image input, 85.2% SWE-bench Verified.

$0.75 in / $3.75 out per 1M tokens
Claude Opus 4.7 API

Anthropic

1M context, 128k output, 87.6% SWE-bench Verified, 78% OSWorld, 2576px image input.

$1.25 in / $6.25 out per 1M tokens
Claude Opus 4.8 API

Anthropic

1M context, 128k output, 88.6% SWE-bench Verified, 83.4% OSWorld, adaptive thinking.

$1.25 in / $6.25 out per 1M tokens
GPT 5.4 API

OpenAI

Native computer use, 75% OSWorld-Verified, up to 1M context, 128k output, tool search for agents.

$0.375 in / $2.25 out per 1M tokens
GPT 5.5 API

OpenAI

1M context, 128k output, 82.7% Terminal-Bench 2.0, 78.7% OSWorld, 85% ARC-AGI-2.

$0.75 in / $4.5 out per 1M tokens
GPT 5.4 Mini API

OpenAI

400k context, 128k output, 54.4% SWE-Bench Pro, 72.1% OSWorld, over 2x faster than GPT-5 mini.

See model page
GPT 5.4 Nano API

OpenAI

400k context, 128k output, 52.4% SWE-Bench Pro, 82.8% GPQA Diamond, effort levels none to xhigh.

See model page
Composer 2.5 API

Cursor

Agentic coding, 79.8% SWE-Bench Multilingual, 69.3% Terminal-Bench 2.0, tuned for long agent runs.

$0.05 in / $0.25 out per 1M tokens
Composer 2.5 Fast API

Cursor

Low-latency default variant of Composer 2.5, same intelligence, 79.8% SWE-bench Multilingual.

$0.3 in / $1.5 out per 1M tokens

How to call the LLM API

Use your UnificAlly API key and any model ID from the table. Existing OpenAI clients only need the base URL changed to https://api.unifically.com/v1.

curl -X POST https://api.unifically.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "anthropic/claude-sonnet-4-6",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

LLM API FAQ

How much does the LLM API cost?
Each model has its own input and output rate per 1M tokens, shown in the table above and on the pricing page. The lowest input rate right now is $0.015 per 1M input tokens (GPT 6 Luna). You pay per token from a prepaid balance: no subscription, no monthly minimum, and the balance does not expire.
Does the LLM API work with the OpenAI and Anthropic SDKs?
/v1/chat/completions follows the OpenAI Chat Completions format and works for every model in the table except Responses-only models such as Grok 4.20 Multi-Agent. /v1/messages follows the Anthropic Messages format and /v1/responses the OpenAI Responses format; which models support each is listed in the docs. Streaming and tool use work.
How do I move an existing app to UnificAlly?
Point your OpenAI client at https://api.unifically.com/v1, use a UnificAlly API key, and set model to an ID from the table, such as anthropic/claude-sonnet-4-6. Anthropic SDK code keeps its request shape on /v1/messages. One key and one balance cover every model.
Can I try these LLMs before topping up?
Yes. A new UnificAlly account starts with a $0.50 signup balance, and every model page has a browser playground that runs on it, so you can compare outputs before writing any code.