モデル選定、
価格、公開メモ。
AI プロダクトを出すチーム向けの実践メモ。モデル比較、token コストの見積もり、次の一手の判断に役立ちます。
コンテンツハブ
プロダクトとプラットフォームチームの判断メモ
NextModel ブログでは何を扱う？
NextModel ブログでは、API コストの見積もり、OpenRouter 風の代替案比較、低コスト中国語モデルの評価、本番キャッシュ前の LLM 再利用安全性の判断など、実務的な AI モデル判断を扱います。
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.
ベンチマーク · 2026-05-27
Bad Hit Rate: すべての LLM キャッシュが見るべき指標
LLM 応答の再利用を評価するとき、なぜ Safe Hit Rate と Bad Hit Rate が生のヒット率より重要なのか。
モデルガイド · 2026-05-21
Doubao Seed 2.0 Mini API ガイド: 価格、用途、OpenAI 互換呼び出し
NextModel 経由で Doubao Seed 2.0 Mini を使うための開発者向けガイド。価格、向いている用途、クイックスタートコードをまとめています。
モデルルーティング · 2026-05-21
AI API のコスト統制が必要な開発者向けの OpenRouter 代替案
チームが予算、BYOK、チーム利用状況、国内モデルソースも必要とするときに、OpenRouter 風の多モデルアクセスをどう評価するか。
コスト管理 · 2026-05-21
リリース前に AI API コストを見積もる方法
入力 token、出力 token、リクエスト量、モデル価格からモデル支出を見積もる実用的な方法。
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.
モデルニュース · 2026-09-05
GPT-6 Astra NextModel に登録：100万トークンContext、コンピュータ操作、ひとつの API
openai/gpt-6-astra を 100万トークンあたり入力 $10 / 出力 $50、Context 窓 1,050,000 トークンで提供。272K トークン超で料 tiers が変わります。仕様・価格・未検証事項のまとめ。
モデル比較 · 2026-09-05
GPT-6 Astra vs GPT-5.6 Sol：2倍のアップグレードが元を取るとき
Astra は $10/$50、Sol は $5/$30 の掲載価格で、どちらも 1,050,000 トークンの Context 窓。OpenAI の長文 Context ベンチマークが、アップグレードの見合う場所と見合わない場所を示します。
モデル比較 · 2026-09-05
GPT-6 Astra vs Claude Fable 5.1：リリース週の論争を読み解く
リリース週の報道は GPT-6 Astra と Claude Fable 5.1 を汎用インデックススコアで対峙させます。実際に公表されているものは何か、そしてこの論争を自社トラフィックで A/B テストする方法。
料金 · 2026-09-05
GPT-6 Astra の料金を解説：272K の壁、キャッシュ、計算例
GPT-6 Astra は 100万トークンあたり $10/$50——ただし prompt が 272K トークンを超えると $20/$75 に倍増します。この数字の読み方と、キャッシュが効く場面。
ガイド · 2026-09-05
GPT-6 Astra への移行：モデル id、Responses API、ロールバック計画
gpt-5.x から openai/gpt-6-astra への移行は、OpenAI 互換ゲートウェイでは文字列 1 つの変更です。それに加えて、出力上限、階層料金、先に設計しておきたいフォールバック経路の話。
エンジニアリング · 2026-09-05
本番の 100万トークン Context：GPT-6 Astra の検索スコアが実際に買えるもの
OpenAI の MRCR v2 結果は、GPT-6 Astra が 512K トークン超でも 96.3% のニードル検索を示す内容です。RAG と長文 Context の意思決定への意味と、そのスコアがカバーしない範囲。
ガイド · 2026-09-05
GPT-6 Astra を予算内で使う：キャッシュ、ルーティング、そして効くときだけ払うフロンティアレート
フロンティア価格が平均単価になる必要はありません。$1 のキャッシュヒット、272K 未満の prompt 規律、定常作業を安価なカタログ経路へ振るルーティングで、Astra 支出を正気に保てます。
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.