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Chọn model,
giá, và ghi chú ra mắt.

Ghi chú thực tế cho các đội đang ra mắt sản phẩm AI, so sánh nhà cung cấp, ước tính chi phí token, và định hướng bước ra mắt tiếp theo.

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Ghi chú ra quyết định cho đội sản phẩm và nền tảng

Blog NextModel nói về gì?

Blog NextModel tập trung vào các quyết định thực tế về model AI: cách ước tính chi phí API, so sánh các lựa chọn kiểu OpenRouter, đánh giá model Trung Quốc chi phí thấp, và đo mức reuse phản hồi LLM an toàn trước khi cache 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.

Đối chuẩn · 2026-05-27

Bad Hit Rate: chỉ số mà mọi cache LLM đều phải theo dõi

Vì sao Safe Hit Rate và Bad Hit Rate quan trọng hơn hit rate thô khi đánh giá khả năng tái sử dụng phản hồi LLM.

Hướng dẫn model · 2026-05-21

Hướng dẫn API Doubao Seed 2.0 Mini: giá, use case và các lời gọi tương thích OpenAI

Hướng dẫn cho developer dùng Doubao Seed 2.0 Mini qua NextModel, gồm giá, use case phù hợp nhất, và mã quickstart.

Định tuyến model · 2026-05-21

Các lựa chọn thay thế OpenRouter cho nhà phát triển cần kiểm soát chi phí API AI

Cách đánh giá quyền truy cập đa model kiểu OpenRouter khi đội của bạn còn cần budget, BYOK, usage theo team, và nguồn model nội địa.

Kiểm soát chi phí · 2026-05-21

Cách ước tính chi phí API AI trước khi bạn ra mắt

Công thức thực tế để ước tính chi tiêu model từ token đầu vào, token đầu ra, khối lượng request, và giá 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.

Tin tức model · 2026-09-05

GPT-6 Astra trên NextModel: ngữ cảnh 1M, computer use, một API duy nhất

openai/gpt-6-astra được niêm yết ở mức $10/$50 mỗi triệu token với cửa sổ ngữ cảnh 1,050,000 token, phân tầng trên 272K token. Thông số, giá, và những gì chưa được xác minh.

So sánh · 2026-09-05

GPT-6 Astra vs GPT-5.6 Sol: khi bản nâng cấp 2x tự hoàn vốn

Astra niêm yết $10/$50 so với $5/$30 của Sol, cả hai đều có cửa sổ 1,050,000 token. Benchmark ngữ cảnh dài của OpenAI cho thấy nâng cấp ở đâu là đáng — và ở đâu là không.

So sánh · 2026-09-05

GPT-6 Astra vs Claude Fable 5.1: đọc lại tranh luận tuần ra mắt

Báo chí tuần ra mắt đưa GPT-6 Astra đối đầu Claude Fable 5.1 trên các điểm chỉ số tổng hợp. Những gì thực sự được công bố, và cách tự chạy A/B tranh luận đó trên lưu lượng của bạn.

Giá · 2026-09-05

Giải mã giá GPT-6 Astra: vách đá 272K, cache, và các ví dụ tính toán

GPT-6 Astra niêm yết $10/$50 mỗi triệu token — cho đến khi prompt vượt 272K token, nơi tầng giá gấp đôi thành $20/$75. Phép tính, ví dụ cụ thể, và khi nào cache cứu bạn.

Hướng dẫn · 2026-09-05

Chuyển sang GPT-6 Astra: model id, Responses API, và phương án rollback

Chuyển từ gpt-5.x sang openai/gpt-6-astra chỉ là thay một chuỗi trên gateway tương thích OpenAI — cùng giới hạn đầu ra, giá theo tầng, và một nhánh fallback đáng để lập kế hoạch.

Kỹ thuật · 2026-09-05

Ngữ cảnh 1M trong production: các con số truy hồi của GPT-6 Astra thực sự mang lại gì cho bạn

Kết quả MRCR v2 của OpenAI đặt GPT-6 Astra ở 96.3% truy hồi needle vượt 512K token. Điều đó có nghĩa gì cho quyết định RAG hay ngữ cảnh dài — và những gì nó không bao phủ.

Hướng dẫn · 2026-09-05

GPT-6 Astra tiết kiệm: cache, định tuyến, và chỉ trả giá frontier khi thực sự đáng

Giá frontier không nhất thiết phải là giá trung bình của bạn: cache hit $1, kỷ luật prompt dưới 272K, và chuyển công việc thường ngày sang các nhánh rẻ hơn trong danh mục giúp chi tiêu cho Astra giữ được sự tỉnh táo.

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.