Modelkeuze,
prijzen en uitrolnotities.
Praktische notities voor teams die AI-producten lanceren, aanbieders vergelijken, tokenkosten inschatten en de volgende uitrolstap bepalen.
Contenthub
Beslisnotities voor product- en platformteams
Wat behandelt de NextModel blog?
De NextModel blog behandelt praktische beslissingen rond AI-modellen: hoe je API-kosten inschat, OpenRouter-achtige alternatieven vergelijkt, goedkope Chinese modellen beoordeelt en veilig hergebruik van LLM-antwoorden meet voordat je productiecache inzet.
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.
Vergelijkende analyse · 2026-05-27
Bad Hit Rate: de metric die elke LLM-cache moet volgen
Waarom Safe Hit Rate en Bad Hit Rate belangrijker zijn dan ruwe hit rate bij het beoordelen van hergebruik van LLM-antwoorden.
Modelgids · 2026-05-21
Doubao Seed 2.0 Mini API-gids: prijzen, use cases en OpenAI-compatibele aanroepen
Een praktische gids voor ontwikkelaars die Doubao Seed 2.0 Mini via NextModel gebruiken: prijs, beste use cases en snelstartcode.
Modelrouting · 2026-05-21
OpenRouter-alternatieven voor ontwikkelaars die grip op AI API-kosten nodig hebben
Hoe je OpenRouter-achtige toegang tot meerdere modellen beoordeelt wanneer je team ook budgetten, BYOK, teamgebruik en lokale modelbronnen nodig heeft.
Kostenbeheer · 2026-05-21
Hoe je AI API-kosten schat voordat je uitrolt
Een praktische formule om modelkosten te schatten op basis van invoertokens, uitvoertokens, requestvolume en modelprijs.
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.
Modelnieuws · 2026-09-05
GPT-6 Astra op NextModel: 1M context, computer use, één API
openai/gpt-6-astra staat genoteerd tegen $10/$50 per miljoen tokens met een contextvenster van 1,050,000 tokens, met een eigen tier boven de 272K tokens. Specs, prijzen en wat niet geverifieerd is.
Vergelijkingen · 2026-09-05
GPT-6 Astra vs GPT-5.6 Sol: wanneer de 2x-upgrade zichzelf terugverdient
Astra staat genoteerd tegen $10/$50 versus $5/$30 voor Sol, allebei met vensters van 1,050,000 tokens. De long-context benchmarks van OpenAI laten zien waar de upgrade het waard is — en waar niet.
Vergelijkingen · 2026-09-05
GPT-6 Astra vs Claude Fable 5.1: het debat van de lanceringsweek lezen
Lanceringsweekverslaggeving zet GPT-6 Astra tegenover Claude Fable 5.1 op algemene indexscores. Wat er echt gepubliceerd is, en hoe je het debat A/B-test op je eigen verkeer.
Prijzen · 2026-09-05
De prijzen van GPT-6 Astra uitgelegd: de 272K-klif, cache en rekenvoorbeelden
GPT-6 Astra staat genoteerd tegen $10/$50 per miljoen tokens — tot je prompt voorbij de 272K tokens gaat, waar de tier verdubbelt naar $20/$75. De berekening, rekenvoorbeelden en wanneer cache je geld bespaart.
Gidsen · 2026-09-05
Migreren naar GPT-6 Astra: model ids, de Responses API en een rollback-plan
Van gpt-5.x naar openai/gpt-6-astra gaan is een wijziging van één string op een OpenAI-compatibele gateway — plus outputlimieten, tierprijzen en een fallback-been om vooraf te plannen.
Engineering · 2026-09-05
1M context in productie: wat de retrievalcijfers van GPT-6 Astra je werkelijk opleveren
De MRCR v2-resultaten van OpenAI zetten GPT-6 Astra op 96.3% needle retrieval boven de 512K tokens. Wat dat betekent voor keuzes tussen RAG en lange context — en wat het niet dekt.
Gidsen · 2026-09-05
GPT-6 Astra met een budget: cache, routing en frontier-tarieven alleen wanneer het telt
Frontier-prijzen hoeven niet je gemiddelde prijs te zijn: cachehits van $1, promptdiscipline onder de 272K en het routeren van routinewerk naar goedkopere catalogusbenen houden de Astra-uitgaven gezond.
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.