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Choix de modèles,
prix et notes de déploiement.

Notes pratiques pour les équipes qui lancent des produits IA, comparent des fournisseurs, estiment le coût en tokens et préparent la prochaine étape.

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Notes de décision pour les équipes produit et plateforme

Que couvre le blog NextModel ?

Le blog NextModel couvre les décisions concrètes autour des modèles IA : comment estimer le coût API, comparer des alternatives façon OpenRouter, évaluer des modèles chinois peu coûteux et mesurer la réutilisation sûre des réponses LLM avant le cache de production.

Product · 2026-08-31

One API, every model — watch the NextModel tour

A 50-second tour of NextModel: one OpenAI-compatible API that routes across providers, passes upstream prompt-cache hits through 1:1 at official cached rates, and anchors a receipt to every request.

Model routing · 2026-07-01

LLM Router: How It Works and Top Alternatives

An LLM router sends each request to a model based on cost, latency, or capability. Compare approaches, then try one with a free API key.

Model routing · 2026-07-01

LLM Gateway: Compare Options and Alternatives

Compare LLM gateway options: routing, cache, failover, receipts, and what NextModel actually does with OpenAI-compatible traffic.

Caching · 2026-07-01

Semantic Caching for LLM APIs: A Practical Guide

Semantic caching reuses stored LLM responses for prompts with similar meaning, not just identical text. Learn how it works, when to use it, and how to tune it.

Provenance · 2026-07-01

AI Provenance: What It Is and Why It Matters

AI provenance means knowing which model produced an output and proving it later. See what a receipt records and how NextModel supports ai provenance today.

Operations · 2026-07-01

LLM Observability: Metrics, Traces, and Gateway Setup

LLM observability tracks latency, cost, errors, and traces across every model call. See the key metrics and how a gateway enables it without custom code.

Comparaison · 2026-05-27

Bad Hit Rate : la métrique que tout cache LLM doit surveiller

Pourquoi le Safe Hit Rate et le Bad Hit Rate comptent plus que le simple taux de hit quand on évalue la réutilisation des réponses LLM.

Guide modèle · 2026-05-21

Guide API Doubao Seed 2.0 Mini : prix, usages et appels compatibles OpenAI

Un guide développeur pour utiliser Doubao Seed 2.0 Mini via NextModel, avec le prix, les cas d’usage et du code de démarrage rapide.

Routage de modèles · 2026-05-21

Alternatives à OpenRouter pour les équipes qui ont besoin de contrôler les coûts d’API IA

Comment évaluer un accès multi-modèles à la manière d’OpenRouter lorsque votre équipe a aussi besoin de budgets, BYOK, usage d’équipe et sources de modèles domestiques.

Contrôle des coûts · 2026-05-21

Comment estimer le coût d’une API IA avant la mise en ligne

Une méthode pratique pour estimer les dépenses modèle à partir des tokens d’entrée, des tokens de sortie, du volume de requêtes et du prix du modèle.

Model review · 2026-08-16

GPT-5 Mini cache safety review: 80% Safe Hit Rate on NextModel

First-party CacheSafety numbers for openai/gpt-5-mini: 50 prompts, 80% Safe Hit Rate, 0% Bad Hit Rate, and what we did not measure.

Model news · 2026-08-16

GPT-5 is listed on NextModel: price, context, and the id you call

OpenAI GPT-5 is in the NextModel catalog at 1.25 / 10 per million tokens, with a 400k context window. CacheSafety for this exact id is still unmeasured.

Model news · 2026-08-16

DeepSeek V4 Flash CN on NextModel: 1 input, unpublished context

DeepSeek V4 Flash CN is listed at 0.14 / 0.28 per million tokens for Chinese workloads. Context window and cache safety stay unpublished.

Model review · 2026-08-16

GLM-5 CN cache safety review: family data only, CN still unmeasured

The live catalog id is z-ai/glm-5-cn. The only CacheSafety row is for base GLM-5: 30% Safe Hit Rate, 0% Bad Hit Rate. The CN variant itself is unmeasured.

Model news · 2026-08-16

Claude Sonnet 5 is listed on NextModel: 1M context, cache scores unpublished

Anthropic Claude Sonnet 5 is in the NextModel catalog at 2 / 10 per million tokens, with a 1,000,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Gemini 3.5 Flash is listed on NextModel: 1,048,576 context, no cache row

Google Gemini 3.5 Flash is listed at 1.50 / 9 per million tokens with a 1,048,576 token context window. First-party cache scores are unpublished.

Model news · 2026-08-16

Kimi K3 is listed on NextModel: 1,048,576 context, cache scores unpublished

MoonshotAI Kimi K3 is listed at 2.95 / 14.71 per million tokens with a 1,048,576 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

GPT-5 Nano is listed on NextModel: 0.05 input, 400k context

OpenAI GPT-5 Nano is in the NextModel catalog at 0.05 / 0.40 per million tokens, with a 400,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Claude Opus 5 is listed on NextModel: 1M context, cache scores unpublished

Anthropic Claude Opus 5 is listed at 5 / 25 per million tokens, with a 1,000,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Gemini 3 Flash Preview is listed on NextModel: 1,048,576 context

Google Gemini 3 Flash Preview is listed at 0.5 / 3 per million tokens, with a 1,048,576 token context window. First-party cache scores are unpublished.

Model news · 2026-08-16

Kimi K2.5 CN is listed on NextModel: 0.58 input, unpublished context

MoonshotAI Kimi K2.5 CN is listed at 0.58 / 3.02 per million tokens. Context window and CacheSafety for this exact id stay unpublished.

Model news · 2026-08-16

GPT-5 Pro is listed on NextModel: 15 input, 400k context

OpenAI GPT-5 Pro is in the NextModel catalog at 15 / 120 per million tokens, with a 400,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Claude Haiku 4.5 is listed on NextModel: 1 input, 200k context

Anthropic Claude Haiku 4.5 is listed at 1 / 5 per million tokens, with a 200,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Gemini 3.1 Flash Lite is listed on NextModel: 0.25 input, 1,048,576 context

Google Gemini 3.1 Flash Lite is listed at 0.25 / 1.50 per million tokens, with a 1,048,576 token context window. First-party cache scores are unpublished.

Model news · 2026-08-16

DeepSeek V4 PRO CN is listed on NextModel: 1.65 input, unpublished context

DeepSeek V4 PRO CN is listed at 1.65 / 3.31 per million tokens for Chinese workloads. Context window and CacheSafety stay unpublished.

Model news · 2026-08-16

GPT-5.4 is listed on NextModel: 2.50 input, 1,050,000 context

OpenAI GPT-5.4 is in the NextModel catalog at 2.50 / 15 per million tokens, with a 1,050,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

GPT-5.5 is listed on NextModel: 5 input, 1,050,000 context

OpenAI GPT-5.5 is listed at 5 / 30 per million tokens, with a 1,050,000 token context window. First-party cache scores are unpublished.

Model news · 2026-08-16

GLM 5.1 CN is listed on NextModel: 0.83 input, unpublished context

Zhipu GLM 5.1 CN is listed at 0.83 / 3.31 per million tokens. Context window and CacheSafety for this exact id stay unpublished.

Model news · 2026-08-16

GLM 5.2 CN is listed on NextModel: 1.18 input, unpublished context

Zhipu GLM 5.2 CN is listed at 1.18 / 4.12 per million tokens. Context window and CacheSafety for this exact id stay unpublished.

Model news · 2026-08-16

Claude Sonnet 4.6 is listed on NextModel: 1M context, cache scores unpublished

Anthropic Claude Sonnet 4.6 is listed at 3 / 15 per million tokens, with a 1,000,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Gemini 2.5 Flash is listed on NextModel: 0.30 input, 1,048,576 context

Google Gemini 2.5 Flash is listed at 0.30 / 2.50 per million tokens, with a 1,048,576 token context window. First-party cache scores are unpublished.

Model news · 2026-08-16

Doubao Seed 2.0 Lite is listed on NextModel: 0.09 input, unpublished context

Doubao Seed 2.0 Lite is listed at 0.09 / 0.5330 per million tokens. Context window and CacheSafety for this exact id stay unpublished.

Model news · 2026-08-16

DeepSeek V3.2 CN is listed on NextModel: 0.29 input, unpublished context

DeepSeek V3.2 CN is listed at 0.29 / 0.44 per million tokens. Context window and CacheSafety for this exact id stay unpublished.

Model news · 2026-08-16

Claude Sonnet 4.5 is listed on NextModel: 1M context, cache scores unpublished

Anthropic Claude Sonnet 4.5 is listed at 3 / 15 per million tokens, with a 1,000,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Gemini 3.5 Flash Lite is listed on NextModel: 0.30 input, 1,048,576 context

Google Gemini 3.5 Flash Lite is listed at 0.30 / 2.50 per million tokens, with a 1,048,576 token context window. First-party cache scores are unpublished.

Model news · 2026-08-16

GPT-4o-mini is listed on NextModel: 0.15 input, 128k context

OpenAI GPT-4o-mini is listed at 0.15 / 0.6 per million tokens, with a 128,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Doubao Seed 2.1 Turbo is listed on NextModel: 0.45 input, unpublished context

Doubao Seed 2.1 Turbo is listed at 0.45 input per million tokens. Context window and CacheSafety for this exact id stay unpublished.

Model news · 2026-08-16

GPT-4o is listed on NextModel: 2.50 input, 128k context

OpenAI GPT-4o is listed at 2.50 / 10 per million tokens, with a 128,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

GPT-4.1 is listed on NextModel: 2 input, 1,047,576 context

OpenAI GPT-4.1 is listed at 2 input per million tokens, with a 1,047,576 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

GPT-5.1 is listed on NextModel: 1.25 input, 400k context

OpenAI GPT-5.1 is listed at 1.25 input per million tokens, with a 400,000 token context window. CacheSafety for this exact id is unpublished.

Model news · 2026-08-16

Kimi K2.6 CN is listed on NextModel: 0.9 input, unpublished context

MoonshotAI Kimi K2.6 CN is listed at 0.9 input per million tokens. Context window and CacheSafety for this exact id stay unpublished.

Actualités modèles · 2026-09-05

GPT-6 Astra sur NextModel : contexte 1M, Computer Use, une seule API

openai/gpt-6-astra est listé à $10/$50 par million de tokens avec une fenêtre de contexte de 1,050,000 tokens, avec un palier au-delà de 272K tokens. Spécifications, tarification et points non vérifiés.

Comparaisons · 2026-09-05

GPT-6 Astra vs GPT-5.6 Sol : quand la mise à niveau 2x se rentabilise

Astra est listé à $10/$50 contre $5/$30 pour Sol, tous deux avec des fenêtres de 1,050,000 tokens. Les benchmarks long contexte d’OpenAI montrent où la mise à niveau vaut le coup — et où elle ne la vaut pas.

Comparaisons · 2026-09-05

GPT-6 Astra vs Claude Fable 5.1 : lire le débat de la semaine de lancement

La couverture du lancement oppose GPT-6 Astra à Claude Fable 5.1 sur les scores d’index généralistes. Ce qui est réellement publié, et comment arbitrer le débat par un A/B sur votre propre trafic.

Tarification · 2026-09-05

Tarification de GPT-6 Astra : la falaise des 272K, le cache et des exemples chiffrés

GPT-6 Astra est listé à $10/$50 par million de tokens — jusqu’à ce que votre prompt dépasse 272K tokens, où le palier double à $20/$75. Les calculs, des exemples concrets et les cas où le cache vous sauve.

Guides · 2026-09-05

Migrer vers GPT-6 Astra : identifiants de modèle, API Responses et plan de repli

Passer de gpt-5.x à openai/gpt-6-astra est un changement d’une seule chaîne sur une passerelle compatible OpenAI — plus les limites de sortie, la tarification par palier et une jambe de repli à prévoir.

Ingénierie · 2026-09-05

1M de contexte en production : ce que les chiffres de récupération de GPT-6 Astra vous achètent vraiment

Les résultats MRCR v2 d’OpenAI placent GPT-6 Astra à 96.3 % de récupération d’aiguilles au-delà de 512K tokens. Ce que cela change pour les arbitrages RAG contre contexte long — et ce que cela ne couvre pas.

Guides · 2026-09-05

GPT-6 Astra avec un budget maîtrisé : cache, routage et tarifs de pointe uniquement quand ça compte

Le tarif de pointe n’a pas à devenir votre prix moyen : cache hits à $1, discipline des prompts sous 272K et routage du travail de routine vers des jambes moins chères du catalogue gardent la dépense Astra sous contrôle.

Community · 2026-09-06

What early testers are actually doing with GPT-6 Astra

Nine verified launch-week quotes on GPT-6 Astra: a code-review win, harness-dependent benchmarks, uneven computer use, and mixed verdicts on price.