Pemilihan model,
harga dan nota pelancaran.
Nota praktikal untuk pasukan yang melancarkan produk AI, membandingkan penyedia, menganggarkan kos token, dan menentukan langkah pelancaran seterusnya.
Hab kandungan
Nota keputusan untuk pasukan produk dan platform
Apa yang dibincangkan dalam blog NextModel?
Blog NextModel membincangkan keputusan praktikal tentang model AI: cara menganggarkan kos API, membandingkan alternatif gaya OpenRouter, menilai model China kos rendah, dan mengukur penggunaan semula respons LLM yang selamat sebelum cache pengeluaran.
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.
Penanda aras · 2026-05-27
Bad Hit Rate: metrik yang perlu dipantau oleh setiap cache LLM
Mengapa Safe Hit Rate dan Bad Hit Rate lebih penting daripada kadar hit mentah ketika menilai penggunaan semula respons LLM.
Panduan model · 2026-05-21
Panduan API Doubao Seed 2.0 Mini: harga, kegunaan, dan panggilan serasi OpenAI
Panduan pembangun untuk menggunakan Doubao Seed 2.0 Mini melalui NextModel, termasuk harga, kegunaan terbaik, dan kod mulakan pantas.
Penghalaan model · 2026-05-21
Alternatif OpenRouter untuk pembangun yang perlukan kawalan kos API AI
Cara menilai akses berbilang model gaya OpenRouter apabila pasukan anda juga perlukan belanjawan, BYOK, penggunaan pasukan, dan sumber model domestik.
Kawalan kos · 2026-05-21
Cara menganggarkan kos API AI sebelum anda melancarkan
Formula praktikal untuk menganggar perbelanjaan model daripada token input, token output, jumlah permintaan, dan harga model.
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.
Berita model · 2026-09-05
GPT-6 Astra di NextModel: konteks 1M, penggunaan komputer, satu API
openai/gpt-6-astra tersenarai pada $10/$50 bagi setiap 1M token dengan tetingkap konteks 1,050,000 token, berperingkat melebihi 272K token. Spesifikasi, harga, dan apa yang belum disahkan.
Perbandingan · 2026-09-05
GPT-6 Astra vs GPT-5.6 Sol: bila naik taraf 2x berbaloi
Astra tersenarai pada $10/$50 berbanding $5/$30 untuk Sol, kedua-duanya dengan tetingkap 1,050,000 token. Penanda aras konteks panjang OpenAI menunjukkan di mana naik taraf itu berbaloi — dan di mana tidak.
Perbandingan · 2026-09-05
GPT-6 Astra vs Claude Fable 5.1: membaca debat minggu pelancaran
Liputan minggu pelancaran meletakkan GPT-6 Astra menentang Claude Fable 5.1 pada skor indeks umum. Apa yang sebenarnya diterbitkan, dan cara menjalankan ujian A/B atas trafik anda sendiri.
Harga · 2026-09-05
Harga GPT-6 Astra dijelaskan: tebing 272K, cache, dan contoh pengiraan
GPT-6 Astra tersenarai pada $10/$50 bagi setiap 1M token — sehingga prompt anda melepasi 272K token, di mana tingkatan itu berganda kepada $20/$75. Pengiraan, contoh terperinci, dan bila cache menyelamatkan anda.
Panduan · 2026-09-05
Berhijrah ke GPT-6 Astra: model id, API Responses, dan pelan rollback
Bergerak daripada gpt-5.x kepada openai/gpt-6-astra hanyalah penukaran satu rentetan pada gateway serasi OpenAI — tanpa mengabaikan had output, harga berperingkat, dan laluan sandaran yang patut dirancang.
Kejuruteraan · 2026-09-05
Konteks 1M dalam pengeluaran: apa yang sebenarnya anda dapat daripada angka pengambilan semula GPT-6 Astra
Keputusan MRCR v2 OpenAI meletakkan GPT-6 Astra pada 96.3% pengambilan semula needle melebihi 512K token. Apa maksudnya bagi keputusan RAG berbanding konteks panjang — dan apa yang tidak diliputi.
Panduan · 2026-09-05
GPT-6 Astra dalam belanjawan terhad: cache, penghalaan, dan kadar frontier hanya apabila ia berbaloi
Harga frontier tidak semestinya menjadi harga purata anda: cache hit $1, disiplin prompt bawah 272K, dan penghalaan kerja rutin kepada laluan katalog yang lebih murah memastikan perbelanjaan Astra terkawal.
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.