Вибір моделей,
ціни та нотатки rollout.
Практичні нотатки для команд, які запускають AI-продукти, порівнюють провайдерів, оцінюють token cost і визначають наступний крок rollout.
Контент-хаб
Нотатки для рішень продуктових і платформних команд
Що охоплює блог NextModel?
Блог NextModel охоплює практичні рішення щодо AI-моделей: як оцінювати API cost, порівнювати альтернативи в стилі OpenRouter, оцінювати дешеві китайські моделі й вимірювати безпечне повторне використання LLM-відповідей до production cache.
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.
Порівняльний аналіз · 2026-05-27
Bad Hit Rate: метрика, за якою має стежити кожен LLM cache
Чому Safe Hit Rate і Bad Hit Rate важливіші за сирий hit rate, коли ви оцінюєте повторне використання відповідей LLM.
Гід по моделі · 2026-05-21
Doubao Seed 2.0 Mini API guide: ціни, сценарії використання і OpenAI-сумісні виклики
Практичний гід для розробників, які використовують Doubao Seed 2.0 Mini через NextModel: ціна, найкращі сценарії та код швидкого старту.
Маршрутизація моделей · 2026-05-21
Альтернативи OpenRouter для розробників, яким потрібен контроль витрат на AI API
Як оцінювати доступ до багатьох моделей у стилі OpenRouter, якщо команді також потрібні бюджети, BYOK, командне використання та локальні джерела моделей.
Контроль витрат · 2026-05-21
Як оцінити вартість AI API до запуску
Практична формула для оцінки витрат на модель за вхідними токенами, вихідними токенами, обсягом запитів і ціною моделі.
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.
Model news · 2026-09-05
GPT-6 Astra on NextModel: 1M context, computer use, one API
openai/gpt-6-astra is listed at $10/$50 per million tokens with a 1,050,000-token context window, tiered above 272K tokens. Specs, pricing, and what is unverified.
Comparisons · 2026-09-05
GPT-6 Astra vs GPT-5.6 Sol: when the 2x upgrade pays for itself
Astra lists at $10/$50 versus Sol's $5/$30, both with 1,050,000-token windows. OpenAI's long-context benchmarks show where the upgrade is worth it — and where it is not.
Comparisons · 2026-09-05
GPT-6 Astra vs Claude Fable 5.1: reading the launch-week debate
Launch-week coverage pits GPT-6 Astra against Claude Fable 5.1 on general index scores. What is actually published, and how to A/B the debate on your own traffic.
Pricing · 2026-09-05
GPT-6 Astra pricing explained: the 272K cliff, cache, and worked examples
GPT-6 Astra lists at $10/$50 per million tokens — until your prompt passes 272K tokens, where the tier doubles to $20/$75. The math, worked examples, and when cache saves you.
Guides · 2026-09-05
Migrating to GPT-6 Astra: model ids, responses API, and a rollback plan
Moving from gpt-5.x to openai/gpt-6-astra is a one-string change on an OpenAI-compatible gateway — plus output limits, tier pricing, and a fallback leg worth planning for.
Engineering · 2026-09-05
1M context in production: what GPT-6 Astra's retrieval numbers actually buy you
OpenAI's MRCR v2 results put GPT-6 Astra at 96.3% needle retrieval past 512K tokens. What that means for RAG-vs-long-context decisions — and what it does not cover.
Guides · 2026-09-05
GPT-6 Astra on a budget: cache, routing, and paying frontier rates only when it matters
Frontier pricing does not have to be your average price: $1 cache hits, sub-272K prompt discipline, and routing routine work to cheaper catalog legs keep Astra spend sane.
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.