#llmsmap.me

Independent technical audit

llmprice.gitlab.io

llmprice.gitlab.io

Overall AI readiness score

A combined result across all audit signals.

67of 100Average
AI readiness audit: 9/12/2026Public technical data

Overall AI readiness assessment

How ready llmprice.gitlab.io is for AI systems

67/100

Approved: llmprice.gitlab.io is a legitimate LLM pricing comparison site with a valid llms.txt.

Audit context

llms.txt is accessible and contains 4,806 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 71/100, Accessibility 96/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.

Confirmed strengths

  • Accessible llms.txt
  • 1 sitemap declaration
  • Strong Google agentic signals

Priority improvements

  1. 1Add llms-full.txt for richer first-party context.
  2. 2Add JSON-LD for the organisation, website, and core entities.
  3. 3Complete OpenGraph and canonical homepage metadata.
  4. 4Reduce mobile rendering delay and main-thread work.
llms.txt tokens4,806
llms-full.txt tokens—
ai.txt
sitemap.xml

Google Lighthouse technical profile

A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.

Mobile · Lighthouse
71

Performance

96

Accessibility

100

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 71/100, with the largest visible content block appearing in 5.0 s and the browser main thread blocked for 30 ms. Layout shift was 0. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.

Accessibility scored 96/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.

1

Free the main thread and accelerate the first view

Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.

2

Reduce code that loads without helping the page

Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.

3

Reduce network delay

Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.

4

Make controls unambiguous

Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.

FCP4.3 s

First content

LCP5.0 s

Main content

CLS0

Layout stability

TBT30 ms

Blocking time

SI4.3 s

Visual speed

Metric glossary
FCP · First content
When the first text or image appeared on screen.
LCP · Main content
When the largest visible element in the first viewport rendered.
CLS · Layout stability
How much content shifted unexpectedly while loading; lower is better.
TBT · Blocking time
How long the browser main thread could not respond quickly to input.
SI · Visual speed
How quickly the visible viewport filled with content.
9/12/2026Lighthouse 13.4.1Mobile profile

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://llmprice.gitlab.io/llms.txt
llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

robots.txt

File found

https://llmprice.gitlab.io/robots.txt
Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph

OpenGraph tags were not found on the homepage

AI bot access

Based on robots.txt analysis

GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned

Sitemaps

Declared discovery routes for crawlers and agents.

https://llmprice.gitlab.io/sitemap-index.xml
# llmprice

> Per-token price comparison for 1903 canonical LLM models across 213 providers, normalized from the models.dev catalog. Prices are USD per 1M tokens; data last refreshed 2026-09-12.

Cheapest input/output figures ignore free tiers and subscription plans, so every number is a real metered per-token rate.
Every model page is also served as Markdown: append `.md` to the model URL.

## Data

- [catalog.json](https://llmprice.gitlab.io/data/catalog.json): full dataset — every canonical model with every provider offer, context tiers and free/plan flags
- [matrix.json](https://llmprice.gitlab.io/data/matrix.json): pinned providers × popular models, the payload the /matrix/ page renders
- [sitemap](https://llmprice.gitlab.io/sitemap-index.xml): every page URL
- [llms.txt](https://llmprice.gitlab.io/llms.txt): this file

## Popular models

- [GLM-5.2](https://llmprice.gitlab.io/models/glm-5-2/): $0.3 in / $1.05 out per 1M tokens, 86 providers
- [Kimi K2.6](https://llmprice.gitlab.io/models/kimi-k2-6/): $0.275 in / $1.1 out per 1M tokens, 66 providers
- [DeepSeek V4 Pro](https://llmprice.gitlab.io/models/deepseek-v4-pro/): $0.348 in / $0.696 out per 1M tokens, 67 providers
- [GPT OSS 120B](https://llmprice.gitlab.io/models/gpt-oss-120b/): $0.03 in / $0.1 out per 1M tokens, 61 providers
- [Kimi K3](https://llmprice.gitlab.io/models/kimi-k3/): $2 in / $8 out per 1M tokens, 64 providers
- [DeepSeek V4 Flash](https://llmprice.gitlab.io/models/deepseek-v4-flash/): $0.03 in / $0.07 out per 1M tokens, 64 providers
- [Kimi K2.7 Code](https://llmprice.gitlab.io/models/kimi-k2-7-code/): $0.275 in / $1.1 out per 1M tokens, 61 providers
- [GLM-5.1](https://llmprice.gitlab.io/models/glm-5-1/): $0.45 in / $2.15 out per 1M tokens, 53 providers
- [Claude Sonnet 4.6](https://llmprice.gitlab.io/models/claude-sonnet-4-6/): $0.9 in / $5.55 out per 1M tokens, 49 providers
- [GLM-5.3-Flash](https://llmprice.gitlab.io/models/glm-5-3-flash/): $0.015 in / $0.025 out per 1M tokens, 50 providers
- [GPT-5.5](https://llmprice.gitlab.io/models/gpt-5-5/): $0.1875 in / $1.125 out per 1M tokens, 47 providers
- [Claude Opus 4.7](https://llmprice.gitlab.io/models/claude-opus-4-7/): $4.3 in / $21 out per 1M tokens, 45 providers
- [Claude Opus 4.8](https://llmprice.gitlab.io/models/claude-opus-4-8/): $0.425 in / $2.125 out per 1M tokens, 46 providers
- [Claude Haiku 4.5](https://llmprice.gitlab.io/models/claude-haiku-4-5/): $0.14 in / $0.71 out per 1M tokens, 45 providers
- [GPT-5.4](https://llmprice.gitlab.io/models/gpt-5-4/): $0.75 in / $6 out per 1M tokens, 44 providers
- [Claude Opus 4.6](https://llmprice.gitlab.io/models/claude-opus-4-6/): $4.3 in / $21 out per 1M tokens, 41 providers
- [GLM-5.3](https://llmprice.gitlab.io/models/glm-5-3/): $0.4 in / $1.4 out per 1M tokens, 47 providers
- [MiniMax-M3](https://llmprice.gitlab.io/models/minimax-m3/): $0.225 in / $0.9 out per 1M tokens, 46 providers
- [DeepSeek V4 Flash 0731](https://llmprice.gitlab.io/models/deepseek-v4-flash-0731/): $0.035 in / $0.07 out per 1M tokens, 42 providers
- [GPT-5.6 Luna](https://llmprice.gitlab.io/models/gpt-5-6-luna/): $0.06 in / $0.37 out per 1M tokens, 39 providers
- [Kimi K2.5](https://llmprice.gitlab.io/models/kimi-k2-5/): $0.3 in / $1.9 out per 1M tokens, 44 providers
- [MiniMax-M2.7](https://llmprice.gitlab.io/models/minimax-m2-7/): $0.08 in / $0.32 out per 1M tokens, 42 providers
- [GPT-5.4 mini](https://llmprice.gitlab.io/models/gpt-5-4-mini/): $0.375 in / $4 out per 1M tokens, 38 providers
- [GPT-5.6 Terra](https://llmprice.gitlab.io/models/gpt-5-6-terra/): $1.5 in / $2 out per 1M tokens, 38 providers
- [Claude Fable 5](https://llmprice.gitlab.io/models/claude-fable-5/): $3 in / $18.5 out per 1M tokens, 38 providers
- [Claude Opus 4.5](https://llmprice.gitlab.io/models/claude-opus-4-5/): $0.71 in / $3.57 out per 1M tokens, 36 providers
- [Claude Sonnet 4.5](https://llmprice.gitlab.io/models/claude-sonnet-4-5/): $0.43 in / $2.14 out per 1M tokens, 37 providers
- [GLM-5](https://llmprice.gitlab.io/models/glm-5/): $0.5 in / $1.92 out per 1M tokens, 41 providers
- [GPT-5.6 Sol](https://llmprice.gitlab.io/models/gpt-5-6-sol/): $1.5 in / $10 out per 1M tokens, 38 providers
- [Claude Sonnet 5](https://llmprice.gitlab.io/models/claude-sonnet-5/): $1.44 in / $7.2 out per 1M tokens, 36 providers
- [GPT-5 Mini](https://llmprice.gitlab.io/models/gpt-5-mini/): $0.04 in / $0.29 out per 1M tokens, 35 providers
- [GPT OSS 20B](https://llmprice.gitlab.io/models/gpt-oss-20b/): $0.02 in / $0.1 out per 1M tokens, 37 providers
- [GPT-5.4 nano](https://llmprice.gitlab.io/models/gpt-5-4-nano/): $0.18 in / $1.1 out per 1M tokens, 33 providers
- [Gemini 2.5 Flash](https://llmprice.gitlab.io/models/gemini-2-5-flash/): $0.09 in / $0.6 out per 1M tokens, 34 providers
- [Gemini 3.5 Flash](https://llmprice.gitlab.io/models/gemini-3-5-flash/): $0.1857 in / $1.1142 out per 1M tokens, 33 providers
- [MiniMax-M2.5](https://llmprice.gitlab.io/models/minimax-m2-5/): $0.1938 in / $0.88 out per 1M tokens, 41 providers
- [GPT-5.2](https://llmprice.gitlab.io/models/gpt-5-2/): $0.25 in / $2 out per 1M tokens, 33 providers
- [Gemini 2.5 Pro](https://llmprice.gitlab.io/models/gemini-2-5-pro/): $0.87 in / $7 out per 1M tokens, 32 providers
- [Gemini 3.1 Pro Preview](https://llmprice.gitlab.io/models/gemini-3-1-pro-preview/): $1 in / $6 out per 1M tokens, 32 providers
- [Claude Opus 5](https://llmprice.gitlab.io/models/claude-opus-5/): $5 in / $25 out per 1M tokens, 33 providers
- [DeepSeek V3.2](https://llmprice.gitlab.io/models/deepseek-v3-2/): $0.18 in / $0.326 out per 1M tokens, 32 providers
- [GPT-5](https://llmprice.gitlab.io/models/gpt-5/): $1.07 in / $8.5 out per 1M tokens, 33 providers
- [GPT-5 Nano](https://llmprice.gitlab.io/models/gpt-5-nano/): $0.045 in / $0.36 out per 1M tokens, 30 providers
- [GPT-5.1](https://llmprice.gitlab.io/models/gpt-5-1/): $1.07 in / $8.5 out per 1M tokens, 31 providers
- [Llama-3.3-70B-Instruct](https://llmprice.gitlab.io/models/llama-3-3-70b-instruct/): $0.05 in / $0.23 out per 1M tokens, 34 providers
- [Qwen3.8 27B](https://llmprice.gitlab.io/models/qwen3-8-27b/): $0.1 in / $0.4 out per 1M tokens, 31 providers
- [GLM-4.7](https://llmprice.gitlab.io/models/glm-4-7/): $0.2 in / $0.8 out per 1M tokens, 34 providers
- [GPT-5.3 Codex](https://llmprice.gitlab.io/models/gpt-5-3-codex/): $1.6 in / $13 out per 1M tokens, 29 providers
- [Gemini 3 Flash Preview](https://llmprice.gitlab.io/models/gemini-3-flash-preview/): $0.07 in / $0.43 out per 1M tokens, 29 providers
- [DeepSeek V4 Pro 0813](https://llmprice.gitlab.io/models/deepseek-v4-pro-0813/): $0.442 in / $0.884 out per 1M tokens, 31 providers
- [Grok 4.3](https://llmprice.gitlab.io/models/grok-4-3/): $1.25 in / $2.5 out per 1M tokens, 28 providers
- [Qwen3.7 Max](https://llmprice.gitlab.io/models/qwen3-7-max/): $0.825 in / $2.4755 out per 1M tokens, 32 providers
- [Gemini 3.1 Flash Lite](https://llmprice.gitlab.io/models/gemini-3-1-flash-lite/): $0.125 in / $0.75 out per 1M tokens, 27 providers
- [Qwen3.5 397B-A17B](https://llmprice.gitlab.io/models/qwen3-5-397b-a17b/): $0.172 in / $1.032 out per 1M tokens, 29 providers
- [Qwen3.8 Max](https://llmprice.gitlab.io/models/qwen3-8-max/): $1.6 in / $4.8 out per 1M tokens, 30 providers
- [Claude Fable 5.1](https://llmprice.gitlab.io/models/claude-fable-5-1/): $10 in / $50 out per 1M tokens, 25 providers
- [GPT-4.1](https://llmprice.gitlab.io/models/gpt-4-1/): $1.8 in / $7.2 out per 1M tokens, 27 providers
- [Grok 4.5](https://llmprice.gitlab.io/models/grok-4-5/): $2 in / $6 out per 1M tokens, 26 providers
- [Grok 4.6](https://llmprice.gitlab.io/models/grok-4-6/): $2 in / $6 out per 1M tokens, 28 providers
- [GLM-4.6](https://llmprice.gitlab.io/models/glm-4-6/): $0.286 in / $1.142 out per 1M tokens, 27 providers
- [GPT-4.1 mini](https://llmprice.gitlab.io/models/gpt-4-1-mini/): $0.36 in / $1.4 out per 1M tokens, 25 providers
- [Gemini 3.5 Flash Lite](https://llmprice.gitlab.io/models/gemini-3-5-flash-lite/): $0.15 in / $1.25 out per 1M tokens, 24 providers
- [Gemma 4 31B IT](https://llmprice.gitlab.io/models/gemma-4-31b-it/): $0.09 in / $0.25 out per 1M tokens, 30 providers
- [Qwen3.6 35B-A3B](https://llmprice.gitlab.io/models/qwen3-6-35b-a3b/): $0.07 in / $0.42 out per 1M tokens, 26 providers
- [Qwen3.7 Plus](https://llmprice.gitlab.io/models/qwen3-7-plus/): $0.282 in / $1.128 out per 1M tokens, 29 providers
- [GPT-4o mini](https://llmprice.gitlab.io/models/gpt-4o-mini/): $0.075 in / $0.3 out per 1M tokens, 22 providers
- [Gemini 3.6 Flash](https://llmprice.gitlab.io/models/gemini-3-6-flash/): $0.375 in / $1.875 out per 1M tokens, 24 providers
- [Qwen3.6 Plus](https://llmprice.gitlab.io/models/qwen3-6-plus/): $0.276 in / $1.651 out per 1M tokens, 26 providers
- [DeepSeek V4.1 Flash](https://llmprice.gitlab.io/models/deepseek-v4-1-flash/): $0.15 in / $0.6 out per 1M tokens, 24 providers
- [GPT-4o](https://llmprice.gitlab.io/models/gpt-4o/): $1.25 in / $5 out per 1M tokens, 22 providers
- [GPT-5.2 Codex](https://llmprice.gitlab.io/models/gpt-5-2-codex/): $0.14 in / $1.14 out per 1M tokens, 21 providers
- [Gemini 2.5 Flash-Lite](https://llmprice.gitlab.io/models/gemini-2-5-flash-lite/): $0.07 in / $0.1 out per 1M tokens, 24 providers
- [Gemini 3.7 Flash](https://llmprice.gitlab.io/models/gemini-3-7-flash/): $0.75 in / $3.75 out per 1M tokens, 23 providers
- [MiMo-V2.5-Pro](https://llmprice.gitlab.io/models/mimo-v2-5-pro/): $0.4 in / $0.8 out per 1M tokens, 26 providers
- [Qwen3.6 27B](https://llmprice.gitlab.io/models/qwen3-6-27b/): $0.2 in / $0.6 out per 1M tokens, 24 providers
- [GPT-5.4 Pro](https://llmprice.gitlab.io/models/gpt-5-4-pro/): $27 in / $160 out per 1M tokens, 20 providers
- [GPT-6 Astra](https://llmprice.gitlab.io/models/gpt-6-astra/): $10 in / $50 out per 1M tokens, 21 providers
- [Inkling](https://llmprice.gitlab.io/models/inkling/): $0.95 in / $4.05 out per 1M tokens, 21 providers
- [MiniMax-M2.1](https://llmprice.gitlab.io/models/minimax-m2-1/): $0.27 in / $1.1 out per 1M tokens, 24 providers
- [o3](https://llmprice.gitlab.io/models/o3/): $1.8 in / $7.2 out per 1M tokens, 21 providers
- [GPT-4.1 nano](https://llmprice.gitlab.io/models/gpt-4-1-nano/): $0.08 in / $0.26 out per 1M tokens, 19 providers
- [GPT-5.1 Codex](https://llmprice.gitlab.io/models/gpt-5-1-codex/): $1.07 in / $8.5 out per 1M tokens, 19 providers
- [GPT-5.5 Pro](https://llmprice.gitlab.io/models/gpt-5-5-pro/): $27.2727 in / $163.6364 out per 1M tokens, 19 providers
- [Qwen3 235B A22B Instruct 2507](https://llmprice.gitlab.io/models/qwen3-235b-a22b-instruct-2507/): $0.069 in / $0.3 out per 1M tokens, 21 providers
- [Qwen3-Next 80B-A3B Instruct](https://llmprice.gitlab.io/models/qwen3-next-80b-a3b-instruct/): $0.09 in / $0.574 out per 1M tokens, 21 providers
- [Claude Opus 4.1](https://llmprice.gitlab.io/models/claude-opus-4-1/): $13 in / $64 out per 1M tokens, 19 providers
- [DeepSeek V4 Flash Vision Exp](https://llmprice.gitlab.io/models/deepseek-v4-flash-vision-exp/): $0.08 in / $0.2 out per 1M tokens, 18 providers
- [GPT-5.1 Codex mini](https://llmprice.gitlab.io/models/gpt-5-1-codex-mini/): $0.22 in / $1.8 out per 1M tokens, 18 providers
- [Gemini 3.8 Flash](https://llmprice.gitlab.io/models/gemini-3-8-flash/): $0.75 in / $3.75 out per 1M tokens, 19 providers
- [Grok Build 0.1](https://llmprice.gitlab.io/models/grok-build-0-1/): $1 in / $2 out per 1M tokens, 19 providers
- [MiMo-V2.5](https://llmprice.gitlab.io/models/mimo-v2-5/): $0.14 in / $0.28 out per 1M tokens, 25 providers
- [Qwen3 Max](https://llmprice.gitlab.io/models/qwen3-max/): $0.359 in / $1.43 out per 1M tokens, 22 providers
- [Qwen3-Coder 30B-A3B Instruct](https://llmprice.gitlab.io/models/qwen3-coder-30b-a3b-instruct/): $0.06 in / $0.245 out per 1M tokens, 20 providers
- [Qwen3.5 9B](https://llmprice.gitlab.io/models/qwen3-5-9b/): $0.04 in / $0.13 out per 1M tokens, 19 providers
- [Qwen3.6 Flash](https://llmprice.gitlab.io/models/qwen3-6-flash/): $0.165 in / $0.99 out per 1M tokens, 22 providers
- [DeepSeek V3.1](https://llmprice.gitlab.io/models/deepseek-v3-1/): $0.19 in / $0.7 out per 1M tokens, 18 providers
- [GLM-4.5](https://llmprice.gitlab.io/models/glm-4-5/): $0.286 in / $1.142 out per 1M tokens, 19 providers
- [Gemma 4 26B A4B IT](https://llmprice.gitlab.io/models/gemma-4-26b-a4b-it/): $0.042 in / $0.22 out per 1M tokens, 19 providers
- [Hy3](https://llmprice.gitlab.io/models/hy3/): $0.066 in / $0.26 out per 1M tokens, 20 providers
- [MiniMax-M2](https://llmprice.gitlab.io/models/minimax-m2/): $0.17 in / $1 out per 1M tokens, 20 providers
- [Qwen3 32B](https://llmprice.gitlab.io/models/qwen3-32b/): $0.08 in / $0.25 out per 1M tokens, 19 providers
- [Qwen3.5 122B-A10B](https://llmprice.gitlab.io/models/qwen3-5-122b-a10b/): $0.115 in / $0.917 out per 1M tokens, 18 providers
- [GPT-5 Pro](https://llmprice.gitlab.io/models/gpt-5-pro/): $13.5 in / $108 out per 1M tokens, 16 providers
- [Kimi K2 Thinking](https://llmprice.gitlab.io/models/kimi-k2-thinking/): $0.47 in / $2 out per 1M tokens, 18 providers
- [Qwen3 VL 235B A22B Instruct](https://llmprice.gitlab.io/models/qwen3-vl-235b-a22b-instruct/): $0.2 in / $0.88 out per 1M tokens, 16 providers
- [Qwen3.5 35B-A3B](https://llmprice.gitlab.io/models/qwen3-5-35b-a3b/): $0.057 in / $0.459 out per 1M tokens, 16 providers
- [Qwen3.8 Flash](https://llmprice.gitlab.io/models/qwen3-8-flash/): $0.11 in / $0.38 out per 1M tokens, 20 providers
- [Claude Sonnet 4](https://llmprice.gitlab.io/models/claude-sonnet-4/): $2.6 in / $13 out per 1M tokens, 15 providers
- [GLM-4.5-Air](https://llmprice.gitlab.io/models/glm-4-5-air/): $0.1 in / $0.5 out per 1M tokens, 16 providers
- [GLM-5-Turbo](https://llmprice.gitlab.io/models/glm-5-turbo/): $0.72 in / $3.2 out per 1M tokens, 17 providers
- [Qwen3 Coder 480B A35B Instruct](https://llmprice.gitlab.io/models/qwen3-coder-480b-a35b-instruct/): $0.2 in / $0.8 out per 1M tokens, 17 providers
- [Qwen3.5 27B](https://llmprice.gitlab.io/models/qwen3-5-27b/): $0.086 in / $0.688 out per 1M tokens, 15 providers
- [o3-mini](https://llmprice.gitlab.io/models/o3-mini/): $0.99 in / $4 out per 1M tokens, 16 providers
- [o4-mini](https://llmprice.gitlab.io/models/o4-mini/): $0.99 in / $4 out per 1M tokens, 17 providers
- [GLM-4.7-Flash](https://llmprice.gitlab.io/models/glm-4-7-flash/): $0.06 in / $0.4 out per 1M tokens, 22 providers
- [Llama 3.1 8B Instruct](https://llmprice.gitlab.io/models/llama-3-1-8b-instruct/): $0.02 in / $0.025 out per 1M tokens, 15 providers
- [GLM-4.5V](https://llmprice.gitlab.io/models/glm-4-5v/): $0.29 in / $0.86 out per 1M tokens, 13 providers
- [GLM-5V-Turbo](https://llmprice.gitlab.io/models/glm-5v-turbo/): $0.72 in / $3.1946 out per 1M tokens, 14 providers
- [GPT-5.1 Codex Max](https://llmprice.gitlab.io/models/gpt-5-1-codex-max/): $1.1 in / $9 out per 1M tokens, 13 providers
- [MiniMax-M2.7-highspeed](https://llmprice.gitlab.io/models/minimax-m2-7-highspeed/): $0.3 in / $1.2 out per 1M tokens, 16 providers
- [Muse Spark 1.2](https://llmprice.gitlab.io/models/muse-spark-1-2/): $1.25 in / $4.25 out per 1M tokens, 13 providers
- [Qwen3 Coder Next](https://llmprice.gitlab.io/models/qwen3-coder-next/): $0.108 in / $0.675 out per 1M tokens, 15 providers
- [Qwen3 Coder Plus](https://llmprice.gitlab.io/models/qwen3-coder-plus/): $0.574 in / $2.294 out per 1M tokens, 16 providers
- [Qwen3.6 Max Preview](https://llmprice.gitlab.io/models/qwen3-6-max-preview/): $1.027 in / $6.162 out per 1M tokens, 13 providers
- [DeepSeek R1 0528](https://llmprice.gitlab.io/models/deepseek-r1-0528/): $0.4 in / $1.7 out per 1M tokens, 13 providers
- [DeepSeek-R1](https://llmprice.gitlab.io/models/deepseek-r1/): $0.4 in / $1.7 out per 1M tokens, 15 providers
- [Mistral Large 3](https://llmprice.gitlab.io/models/mistral-large-3/): $0.5 in / $1.5 out per 1M tokens, 13 providers
- [Mistral Small 4](https://llmprice.gitlab.io/models/mistral-small-4/): $0.143 in / $0.568 out per 1M tokens, 12 providers
- [Muse Spark 1.1](https://llmprice.gitlab.io/models/muse-spark-1-1/): $1.25 in / $4.25 out per 1M tokens, 12 providers
- [Qwen3 Coder Flash](https://llmprice.gitlab.io/models/qwen3-coder-flash/): $0.144 in / $0.574 out per 1M tokens, 12 providers
- [Qwen3.5 Plus](https://llmprice.gitlab.io/models/qwen3-5-plus/): $0.115 in / $0.688 out per 1M tokens, 14 providers
- [Qwen3.8 2.4T A95B](https://llmprice.gitlab.io/models/qwen3-8-2-4t-a95b/): $2 in / $6 out per 1M tokens, 12 providers
- [Step 3.7 Flash](https://llmprice.gitlab.io/models/step-3-7-flash/): $0.185 in / $1.11 out per 1M tokens, 17 providers

## Providers

- [OpenRouter](https://llmprice.gitlab.io/providers/openrouter/): 349 models
- [OpenCode Zen](https://llmprice.gitlab.io/providers/opencode/): 67 models
- [OpenCode Go](https://llmprice.gitlab.io/providers/opencode-go/): 27 models
- [OrcaRouter](https://llmprice.gitlab.io/providers/orcarouter/): 110 models
- [Requesty](https://llmprice.gitlab.io/providers/requesty/): 116 models
- [NanoGPT](https://llmprice.gitlab.io/providers/nano-gpt/): 574 models
- [ZenMux](https://llmprice.gitlab.io/providers/zenmux/): 98 models
- [Kilo Gateway](https://llmprice.gitlab.io/providers/kilo/): 356 models
- [Vercel AI Gateway](https://llmprice.gitlab.io/providers/vercel/): 355 models
- [All 213 providers](https://llmprice.gitlab.io/providers/): model counts, plan-based flags and docs links

## Languages

Localized hubs (home, models, providers, matrix) in 20 languages; model and provider detail pages stay English.

- [English](https://llmprice.gitlab.io/): en — home, models, providers, matrix
- [English (UK)](https://llmprice.gitlab.io/en-gb/): en-GB — home, models, providers, matrix
- [English (Australia)](https://llmprice.gitlab.io/en-au/): en-AU — home, models, providers, matrix
- [English (Canada)](https://llmprice.gitlab.io/en-ca/): en-CA — home, models, providers, matrix
- [हिन्दी](https://llmprice.gitlab.io/hi/): hi — home, models, providers, matrix
- [中文](https://llmprice.gitlab.io/zh-cn/): zh-CN — home, models, providers, matrix
- [日本語](https://llmprice.gitlab.io/ja/): ja — home, models, providers, matrix
- [한국어](https://llmprice.gitlab.io/ko/): ko — home, models, providers, matrix
- [Bahasa Indonesia](https://llmprice.gitlab.io/id/): id — home, models, providers, matrix
- [Tiếng Việt](https://llmprice.gitlab.io/vi/): vi — home, models, providers, matrix
- [Filipino](https://llmprice.gitlab.io/fil/): fil — home, models, providers, matrix
- [Português (Brasil)](https://llmprice.gitlab.io/pt-br/): pt-BR — home, models, providers, matrix
- [Español](https://llmprice.gitlab.io/es/): es — home, models, providers, matrix
- [Español (México)](https://llmprice.gitlab.io/es-mx/): es-MX — home, models, providers, matrix
- [Deutsch](https://llmprice.gitlab.io/de/): de — home, models, providers, matrix
- [Français](https://llmprice.gitlab.io/fr/): fr — home, models, providers, matrix
- [Italiano](https://llmprice.gitlab.io/it/): it — home, models, providers, matrix
- [Polski](https://llmprice.gitlab.io/pl/): pl — home, models, providers, matrix
- [Русский](https://llmprice.gitlab.io/ru/): ru — home, models, providers, matrix
- [Türkçe](https://llmprice.gitlab.io/tr/): tr — home, models, providers, matrix
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Added 9/12/2026
llmprice.gitlab.io - AI readiness audit | llmsmap.me