#llmsmap.me

Audit technique indépendant

llmprice.gitlab.io

llmprice.gitlab.io

Score global de préparation IA

Résultat combiné de tous les signaux de l’audit.

67sur 100Moyen
Audit de préparation IA: 12/09/2026Données techniques publiques

Évaluation globale de préparation IA

Niveau de préparation de llmprice.gitlab.io pour les systèmes d’IA

67/100

llmprice.gitlab.io (llmprice.gitlab.io) a obtenu 67/100 lors de l’audit technique automatisé de préparation à l’IA. llms.txt était accessible, llms-full.txt était introuvable et ai.txt était introuvable. L’analyse de robots.txt a trouvé 0 robots IA explicitement autorisés, 0 bloqués et 1 sitemap déclaré. La complétude du balisage de la page d’accueil atteint 0% ; aucun type Schema.org détecté. Balises OpenGraph détectées : 0. Les résultats correspondent aux réponses publiques observées le 2026-09-12T12:10:05.797Z.

Contexte de l’évaluation

L’audit combine les fichiers lisibles par les machines, les règles des robots, les sitemaps et le balisage de la page d’accueil. llms.txt est accessible et contient 4 806 jetons.

robots.txt est disponible ; robots IA bloqués : 0. Sitemaps déclarés : 1. Aucun type Schema.org détecté.

Profil Lighthouse mobile : performance 71/100, accessibilité 96/100, SEO 100/100.

Points forts confirmés

  • llms.txt est accessible
  • La structure publique du site a été vérifiée
  • 1 sitemap(s) déclaré(s)
  • Les signaux OpenGraph et canoniques ont été vérifiés

Améliorations prioritaires

  1. 1Ajouter llms-full.txt pour fournir un contexte plus riche.
  2. 2Ajouter du JSON-LD pour l’organisation, le site et les entités principales.
Jetons llms.txt4 806
Jetons llms-full.txt—
ai.txt
sitemap.xml

Profil technique Google Lighthouse

Une mesure Lighthouse mobile. La catégorie expérimentale Agentic Browsing est présentée séparément et ne remplace pas le score global de LLMSMap.

Mobile · Lighthouse
71

Performance

96

Accessibilité

100

Bonnes pratiques

100

SEO technique

100

Agentic Browsing

Interprétation des résultats

La performance mobile est de 71/100 ; le plus grand contenu visible est apparu en 5.0 s et le thread principal a été bloqué pendant 30 ms. Le décalage de mise en page est de 0. Les tâches longues retardent les actions des utilisateurs et des agents de navigateur.

Accessibilité : 96/100, bonnes pratiques : 100/100, SEO technique : 100/100. La catégorie expérimentale Agentic Browsing atteint 100/100 et reste distincte du score global de LLMSMap.

1

Libérer le thread principal et accélérer le premier écran

Découpez les longues tâches JavaScript, différez les scripts et styles non critiques et réduisez les chaînes de requêtes bloquantes.

2

Réduire le code chargé inutilement

Supprimez le CSS et le JavaScript inutilisés, chargez les widgets lourds à la demande et limitez les scripts tiers.

3

Réduire la latence réseau

Améliorez la réponse du serveur, retirez les redirections inutiles et utilisez la compression et le cache.

4

Rendre les commandes explicites

Nommez clairement boutons, liens et champs et structurez les titres et régions sémantiques.

FCP4.3 s

Premier contenu

LCP5.0 s

Contenu principal

CLS0

Stabilité visuelle

TBT30 ms

Temps de blocage

SI4.3 s

Vitesse visuelle

Glossaire des métriques
FCP · Premier contenu
Moment où le premier texte ou la première image apparaît.
LCP · Contenu principal
Moment où le plus grand élément visible est affiché.
CLS · Stabilité visuelle
Déplacements inattendus pendant le chargement ; une valeur basse est préférable.
TBT · Temps de blocage
Durée pendant laquelle le thread principal ne pouvait pas répondre rapidement.
SI · Vitesse visuelle
Vitesse à laquelle la zone visible s’est remplie de contenu.
12/09/2026Lighthouse 13.4.1Profil mobile

Vérifications de préparation IA

Fichiers lisibles par les machines, règles des robots, découverte et balisage de la page d’accueil.

llms.txt

Fichier trouvé et accessible

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

La version complète est introuvable

ai.txt

Le fichier ai.txt est introuvable

robots.txt

Fichier trouvé

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

1 sitemap trouvé

Schema.org (JSON-LD)

Aucun balisage Schema.org trouvé sur la page d’accueil

OpenGraph

Aucune balise OpenGraph trouvée sur la page d’accueil

Accès des robots IA

D’après l’analyse de robots.txt

GPTBotNon mentionné
OAI-SearchBotNon mentionné
ChatGPT-UserNon mentionné
Google-ExtendedNon mentionné
ClaudeBotNon mentionné
Claude-SearchBotNon mentionné
Claude-UserNon mentionné
BytespiderNon mentionné
CCBotNon mentionné
PerplexityBotNon mentionné
Perplexity-UserNon mentionné

Sitemaps

Parcours de découverte déclarés pour les robots et les 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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Ajouté 12/09/2026
llmprice.gitlab.io – audit de préparation IA | llmsmap.me/fr