Model Comparison - BoostGPT Documentation

Overview

Compare 94 AI models across 14 providers to find the right one for your use case — by speed, cost, reasoning capability and context window.

Quick Comparison by Use Case

Credits are charged per step: each model call in an agent turn, or one chat reply. A model’s figure is its provider price for a typical step — about 31K prompt tokens, most of them cached, and 465 output tokens.

Best Overall Value

GPT-6 Luna - 1 creditReasoning, vision and a 1.05M context at the lowest price per step

Best Mid-Range

Gemini 3.8 Flash - 3 creditsStrong agentic coding with a 1M context

Best Reasoning

GPT-6.1 Sol - 8 creditsNear-Astra performance for complex work

Largest Context

Claude Sonnet 5.5 - 8 credits1M tokens with adaptive thinking

Most Affordable

GPT-5 Nano - 1 creditLowest cost per step for simple, high-volume work

Best for Long Agentic Work

Claude Opus 5.5 - 15 creditsLong-running coding and knowledge work

All Models Comparison

OpenAI Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
GPT-6 Astra	`gpt-6-astra`	39	1.05M	Medium	High	Exceptional (reasoning)	Yes
GPT-6.1 Sol	`gpt-6.1-sol`	8	1.05M	Medium	Medium	Exceptional (reasoning)	Yes
GPT-6 Sol	`gpt-6-sol`	8	1.05M	Medium	Medium	Exceptional (reasoning)	Yes
GPT-6 Luna	`gpt-6-luna`	1	1.05M	Fast	Low	Excellent (reasoning)	Yes
GPT-5.6 Sol	`gpt-5.6-sol`	16	1.05M	Medium	High	Exceptional (reasoning)	Yes
GPT-5.6 Terra	`gpt-5.6-terra`	8	1.05M	Medium	Medium	Exceptional (reasoning)	Yes
GPT-5.6 Luna	`gpt-5.6-luna`	1	1.05M	Fast	Low	Excellent (reasoning)	Yes
GPT-5.5	`gpt-5.5`	20	1.05M	Medium	High	Exceptional (reasoning)	Yes
GPT-5.4	`gpt-5.4`	10	1M	Medium	High	Exceptional (reasoning)	Yes
GPT-5.2	`gpt-5.2`	8	400K	Medium	High	Exceptional (reasoning)	Yes
GPT-5	`gpt-5`	6	200K	Medium	High	Exceptional (reasoning)	Yes
GPT-5.4 Mini	`gpt-5.4-mini`	3	400K	Fast	Medium	Excellent (reasoning)	Yes
GPT-5 Mini	`gpt-5-mini`	2	200K	Fast	Medium	Excellent (reasoning)	Yes
GPT-5 Nano	`gpt-5-nano`	1	128K	Very_fast	Low	Good (reasoning)	Yes

Google (Gemini) Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
Gemini 3.7 Flash	`gemini-3.7-flash`	3	1.05M	Fast	Medium	Exceptional (reasoning)	Yes
Gemini 3.6 Flash	`gemini-3.6-flash`	3	1M	Fast	Medium	Excellent (reasoning)	Yes
Gemini 3.5 Flash	`gemini-3.5-flash`	6	1M	Fast	Medium	Exceptional (reasoning)	Yes
Gemini 3.5 Flash Lite	`gemini-3.5-flash-lite`	2	1M	Very_fast	Very_low	Good (reasoning)	Yes
Gemini 3.1 Pro	`gemini-3.1-pro-preview`	8	1M	Medium	High	Exceptional (reasoning)	Yes
Gemini 2.5 Flash	`gemini-2.5-flash`	2	1M	Fast	Medium	Excellent (reasoning)	Yes
Gemini 2.5 Flash Lite	`gemini-2.5-flash-lite`	1	1M	Very_fast	Very_low	Good (reasoning)	Yes

Anthropic (Claude) Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
Claude Fable 5.1	`claude-fable-5-1`	35	1M	Slow	High	Exceptional (reasoning)	Yes
Claude Opus 5.5	`claude-opus-5-5`	15	1M	Medium	High	Exceptional (reasoning)	Yes
Claude Fable 5	`claude-fable-5`	39	1M	Slow	High	Exceptional (reasoning)	Yes
Claude Opus 5	`claude-opus-5`	20	1M	Medium	High	Exceptional (reasoning)	Yes
Claude Opus 4.8	`claude-opus-4-8`	20	1M	Medium	High	Exceptional (reasoning)	Yes
Claude Sonnet 5.5	`claude-sonnet-5-5`	8	1M	Fast	Medium	Exceptional (reasoning)	Yes
Claude Sonnet 5	`claude-sonnet-5`	8	1M	Fast	Medium	Exceptional (reasoning)	Yes
Claude Opus 4.7	`claude-opus-4-7`	20	1M	Medium	High	Exceptional (reasoning)	Yes
Claude Opus 4.6	`claude-opus-4-6`	20	1M	Medium	High	Exceptional (reasoning)	Yes
Claude Sonnet 4.6	`claude-sonnet-4-6`	12	1M	Fast	Medium	Excellent (reasoning)	Yes
Claude Haiku 4.5	`claude-haiku-4-5`	4	200K	Fast	Low	Good	Yes
Claude Opus 4.5	`claude-opus-4-5`	20	200K	Medium	High	Exceptional	Yes

xAI (Grok) Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
Grok 4.7	`grok-4.7`	9	500K	Medium	Medium	Exceptional (reasoning)	Yes
Grok 4.6	`grok-4.6`	9	500K	Medium	Medium	Exceptional (reasoning)	Yes
Grok 4.5	`grok-4.5`	8	500K	Medium	Medium	Exceptional (reasoning)	Yes
Grok 4.3	`grok-4.3`	5	1M	Medium	Low	Excellent (reasoning)	Yes
Grok 4.20 Reasoning	`grok-4.20-0309-reasoning`	5	1M	Medium	Low	Excellent (reasoning)	Yes
Grok 4.20 Non-Reasoning	`grok-4.20-0309-non-reasoning`	5	1M	Fast	Low	Good	Yes
Grok Build 0.1	`grok-build-0.1`	4	256K	Fast	Low	Good	Yes

Zhipu AI (GLM) Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
GLM-5.3	`glm-5.3`	6	1M	Medium	Low	Exceptional (reasoning)	—
GLM-5.3 Flash	`glm-5.3-flash`	1	1M	Fast	Low	Excellent (reasoning)	—
GLM-5.2	`glm-5.2`	6	1M	Medium	Low	Exceptional (reasoning)	—
GLM-4.6	`glm-4.6`	3	200K	Medium	Low	Excellent	—
GLM-4.7	`glm-4.7`	3	200K	Medium	Low	Excellent (reasoning)	—
GLM-4.7 Flash	`glm-4.7-flash`	0	200K	Very_fast	Very_low	Good	—
GLM-5.1	`glm-5.1`	6	200K	Medium	Low	Exceptional (reasoning)	—
GLM-4.6V	`glm-4.6v`	2	128K	Medium	Low	Excellent	Yes

MiniMax Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
MiniMax M2.7 Highspeed	`MiniMax-M2.7-highspeed`	3	205K	Very fast	Low	Excellent (reasoning)	—
MiniMax M2.5 Highspeed	`MiniMax-M2.5-highspeed`	3	205K	Very fast	Low	Excellent (reasoning)	—
MiniMax M3	`MiniMax-M3`	2	1M	Medium	Low	Exceptional (reasoning)	Yes
MiniMax M2.7	`MiniMax-M2.7`	2	205K	Medium	Low	Excellent (reasoning)	—
MiniMax M2.5	`MiniMax-M2.5`	2	205K	Fast	Very_low	Excellent (reasoning)	—

DeepSeek Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
DeepSeek V4 Flash	`deepseek-v4-flash`	2	1M	Fast	Low	Good (reasoning)	—
DeepSeek V4 Flash Vision	`deepseek-v4-flash-vision-exp`	2	1M	Fast	Low	Excellent (reasoning)	Yes
DeepSeek V4 Pro	`deepseek-v4-pro`	5	1M	Medium	Low	Excellent (reasoning)	—

Moonshot AI (Kimi) Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
Kimi K3	`kimi-k3`	12	1M	Medium	High	Exceptional (reasoning)	Yes
Kimi K2.7 Code	`kimi-k2.7-code`	5	256K	Medium	Medium	Exceptional (reasoning)	—
Kimi K2.7 Code Highspeed	`kimi-k2.7-code-highspeed`	9	256K	Fast	High	Exceptional (reasoning)	—
Kimi K2.6	`kimi-k2.6`	4	256K	Medium	Medium	Exceptional (reasoning)	Yes

Mistral AI Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
Mistral Small	`mistral-small-latest`	1	32K	Fast	Low	Good	Yes
Mistral Medium	`mistral-medium-latest`	6	32K	Medium	Medium	Excellent	—
Mistral Large	`mistral-large-latest`	2	128K	Medium	Medium	Excellent	—

Cohere Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
Command A	`command-a-03-2025`	21	256K	Medium	High	Exceptional	—
Command R+	`command-r-plus-08-2024`	21	128K	Medium	High	Exceptional	—
Command R	`command-r-08-2024`	2	128K	Fast	Low	Excellent	—
Command R7B	`command-r7b-12-2024`	1	128K	Very_fast	Low	Excellent	—
Command A Translate	`command-a-translate-08-2025`	21	8K	Fast	Low	Good	—

Groq Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
GPT-OSS (20B)	`openai/gpt-oss-20b`	1	131K	Extremely_fast	Very_low	Good	—
Qwen 3.8 (27B)	`qwen/qwen3.8-27b`	7	131K	Very fast	Low	Excellent	—
Groq Compound	`groq/compound`	2	131K	Very fast	Low	Excellent	—
GPT-OSS (120B)	`openai/gpt-oss-120b`	2	131K	Fast	Low	Excellent	—

Fireworks AI Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
DeepSeek V3	`deepseek-v3`	4	64K	Fast	Low	Good	—
DeepSeek R1	`deepseek-r1`	25	64K	Medium	Low	Excellent (reasoning)	—
Llama V3 (8B)	`llama-v3-8b-instruct`	2	8K	Very_fast	Very_low	Good	—
Llama V3 (70B)	`llama-v3-70b-instruct`	8	8K	Medium	Medium	Excellent	—
Llama V3.1 (8B)	`llama-v3p1-8b-instruct`	2	128K	Very_fast	Very_low	Good	—
Llama V3.1 (70B)	`llama-v3p1-70b-instruct`	8	128K	Fast	Low	Excellent	—
Llama V3.1 (405B)	`llama-v3p1-405b-instruct`	8	128K	Slow	High	Exceptional	—
Yi Large	`yi-large`	8	32K	Medium	Medium	Excellent	—
Mixtral (8x7B)	`mixtral-8x7b-instruct`	4	32K	Fast	Low	Good	—
Mixtral (8x22B)	`mixtral-8x22b-instruct`	10	64K	Medium	Medium	Excellent	—
Qwen 2.5 (72B)	`qwen2p5-72b-instruct`	8	128K	Medium	Medium	Excellent	—

Together AI Models

Model	Model id	Credits	Context	Speed	Cost	Reasoning	Vision
GLM-5.3	`zai-org/GLM-5.3`	6	1M	Medium	Low	Exceptional (reasoning)	—
GLM-5.2	`zai-org/GLM-5.2`	6	1M	Medium	Low	Exceptional (reasoning)	—
Kimi K3	`moonshotai/Kimi-K3`	12	1M	Medium	Medium	Exceptional (reasoning)	—
MiniMax M3	`MiniMaxAI/MiniMax-M3`	2	524K	Medium	Low	Excellent (reasoning)	—
GPT-OSS (120B)	`openai/gpt-oss-120b`	2	131K	Fast	Low	Excellent	—
Qwen 2.5 Coder (32B)	`Qwen/Qwen2.5-Coder-32B-Instruct`	7	32K	Fast	Low	Excellent	—
Qwen 2.5 Turbo (72B)	`Qwen/Qwen2.5-72B-Instruct-Turbo`	10	128K	Fast	Medium	Excellent	—

Ollama Models (Local)

Model	Model id	Context	Speed	Cost	Reasoning	Vision
Llama 3.3 (70B) Local	`llama3.3:70b`	128K	Medium	Very_low	Excellent	—
Llama 3.1 (8B) Local	`llama3.1:8b`	128K	Fast	Very_low	Good	—
Llama 3.1 (70B) Local	`llama3.1:70b`	128K	Medium	Very_low	Excellent	—
Llama 3.1 (405B) Local	`llama3.1:405b`	128K	Slow	Very_low	Exceptional	—

Comparison by Category

Best for Speed

Very fast

GPT-5 Nano - 1 credit
Gemini 3.5 Flash Lite - 2 credits
GPT-OSS (20B) - 1 credit
Mistral Small - 1 credit

Fast

GPT-6 Luna - 1 credit
Gemini 3.8 Flash - 3 credits
Claude Haiku 4.5 - 4 credits
Claude Sonnet 5.5 - 8 credits

Medium (deep reasoning)

GPT-6.1 Sol - 8 credits
Claude Opus 5.5 - 15 credits
GPT-6 Astra - 39 credits
Claude Fable 5.1 - 35 credits

Best for Cost

1 credit

GPT-6 Luna - 1 credit
GPT-5 Nano - 1 credit
Gemini 3.5 Flash Lite - 2 credits
GLM-5.3 Flash - 1 credit
Mistral Small - 1 credit

2-5 credits

DeepSeek V4 Flash - 2 credits
MiniMax M3 - 2 credits
Gemini 3.8 Flash - 3 credits
Claude Haiku 4.5 - 4 credits
DeepSeek V4 Pro - 5 credits

Premium

GPT-6.1 Sol - 8 credits
Claude Sonnet 5.5 - 8 credits
Claude Opus 5.5 - 15 credits
Claude Fable 5.1 - 35 credits
GPT-6 Astra - 39 credits

Best for Context Window

1M+ tokens

GPT-6 Luna - 1 credit (1.05M)
GPT-6.1 Sol - 8 credits (1.05M)
Gemini 3.8 Flash - 3 credits (1M)
Claude Sonnet 5.5 - 8 credits (1M)
DeepSeek V4 Flash - 2 credits (1M)

200K-500K tokens

Grok 4.7 - 9 credits (500K)
GPT-5.4 Mini - 3 credits (400K)
Claude Haiku 4.5 - 4 credits (200K)

Best for Reasoning

Exceptional Reasoning

GPT-6 Astra - 39 credits
Claude Fable 5.1 - 35 credits
Claude Opus 5.5 - 15 credits
GPT-6.1 Sol - 8 credits
Claude Sonnet 5.5 - 8 credits

Excellent Reasoning

GPT-6 Luna - 1 credit
Gemini 3.8 Flash - 3 credits
DeepSeek V4 Pro - 5 credits
GPT-5.4 Mini - 3 credits

Good Reasoning

GPT-5 Nano - 1 credit
Claude Haiku 4.5 - 4 credits
Mistral Small - 1 credit

Use Case Recommendations

Customer Support Chatbots

Recommended:

GPT-6 Luna (1 credit) - Best balance
Gemini 3.8 Flash (3 credits) - Stronger reasoning
Claude Haiku 4.5 (4 credits) - Fast and careful

Budget Option:

GPT-5 Nano (1 credit)
Gemini 3.5 Flash Lite (2 credits)

Code Analysis & Debugging

Recommended:

GPT-6.1 Sol (8 credits) - Deep reasoning
Claude Sonnet 5.5 (8 credits) - Agentic coding
DeepSeek V4 Pro (5 credits) - Cost-effective

Premium:

Claude Opus 5.5 (15 credits) - Long-running work

Content Generation

Recommended:

Claude Sonnet 5.5 (8 credits) - Nuanced writing
GPT-6 Luna (1 credit) - Balanced

Budget Option:

Gemini 3.5 Flash Lite (2 credits)

Long Document Analysis

Recommended:

GPT-6 Luna (1 credit) - 1.05M context
Gemini 3.8 Flash (3 credits) - 1M context

Alternative:

Claude Sonnet 5.5 (8 credits) - 1M context

Real-Time Applications

Recommended:

GPT-OSS (20B) (1 credit) - Fast on Groq
GPT-5 Nano (1 credit)
Gemini 3.5 Flash Lite (2 credits)

High-Volume Production

Recommended:

GPT-6 Luna (1 credit)
GLM-5.3 Flash (1 credit)
Mistral Small (1 credit)

Privacy-Sensitive Applications

Recommended:

Ollama models (local, no API calls)
Use BYOK with any provider

Provider Comparison

Provider	Models	Credits per step	Strength
OpenAI	14	1-39 credits	Most comprehensive
Google	8	1-8 credits	Long context, fast
Anthropic	12	4-39 credits	Agentic coding and writing
xAI	7	4-9 credits	Real-time knowledge
DeepSeek	3	2-5 credits	Best value reasoning
Mistral	3	1-6 credits	Open and efficient
Cohere	5	1-21 credits	Enterprise-grade
Groq	4	1-7 credits	Speed champion

Decision Tree

Need deep reasoning?
├─ Yes → Budget?
│  ├─ Premium → Claude Opus 5.5 (15 credits)
│  └─ Budget → DeepSeek V4 Pro (5 credits)
└─ No → Need speed above all?
   ├─ Yes → GPT-5 Nano (1 credit)
   └─ Balanced → GPT-6 Luna (1 credit) ⭐ Best Overall

Next Steps

Provider Overview

Detailed provider information

Reasoning Models

Deep dive into reasoning

Bring Your Own Keys

Use your own API keys

Get Started

Build your first bot

​Overview

​Quick Comparison by Use Case

Best Overall Value

Best Mid-Range

Best Reasoning

Largest Context

Most Affordable

Best for Long Agentic Work

​All Models Comparison

​OpenAI Models

​Google (Gemini) Models

​Anthropic (Claude) Models

​xAI (Grok) Models

​Zhipu AI (GLM) Models

​MiniMax Models

​DeepSeek Models

​Moonshot AI (Kimi) Models

​Mistral AI Models

​Cohere Models

​Groq Models

​Fireworks AI Models

​Together AI Models

​Ollama Models (Local)

​Comparison by Category

​Best for Speed

​Best for Cost

​Best for Context Window

​Best for Reasoning

​Use Case Recommendations

​Customer Support Chatbots

​Code Analysis & Debugging

​Content Generation

​Long Document Analysis

​Real-Time Applications

​High-Volume Production

​Privacy-Sensitive Applications

​Provider Comparison

​Decision Tree

​Next Steps

Provider Overview

Reasoning Models

Bring Your Own Keys

Get Started

Overview

Quick Comparison by Use Case

All Models Comparison

OpenAI Models

Google (Gemini) Models

Anthropic (Claude) Models

xAI (Grok) Models

Zhipu AI (GLM) Models

MiniMax Models

DeepSeek Models

Moonshot AI (Kimi) Models

Mistral AI Models

Cohere Models

Groq Models

Fireworks AI Models

Together AI Models

Ollama Models (Local)

Comparison by Category

Best for Speed

Best for Cost

Best for Context Window

Best for Reasoning

Use Case Recommendations

Customer Support Chatbots

Code Analysis & Debugging

Content Generation

Long Document Analysis

Real-Time Applications

High-Volume Production

Privacy-Sensitive Applications

Provider Comparison

Decision Tree

Next Steps