Bandingkan API model berfokus coding berdasarkan konteks, dukungan tool, output JSON, latensi, harga, dan peran produksi yang direkomendasikan.
Pemilihan model coding bergantung pada ukuran repositori, kebutuhan tool calling, keandalan instruksi, dan biaya output panjang. Asisten yang membaca codebase besar membutuhkan ekonomi yang berbeda dari fitur pelengkapan kode singkat. NextModel menyoroti konteks, dukungan tool, harga, dan panduan penggunaan agar tim dapat memilih model utama dan kebijakan fallback.
Basis sumber: Taksonomi use case NextModel dan metadata parameter OpenRouter yang didukung saat tersedia.
Fit score
Mulai dari daftar pendek, uji prompt nyata, lalu bandingkan biaya bulanan sebelum routing produksi.
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
Doubao Seed 2.0 Mini is an admin-staged public catalog draft sourced from Runtime Routing Provider.
Tabel perbandingan
Gunakan tampilan ini untuk mempersempit shortlist produksi, membangun kebijakan fallback, atau membandingkan ekonomi model.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7 | Anthropic | $5 / 1M tokens | $25 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | frontier reasoning, large codebase review | 2300-6800ms | Catalog | OpenRouter if available |
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | Anthropic | $3 / 1M tokens | $15 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | coding agents, code review | 1600-4800ms | Catalog | OpenRouter if available |
| DeepSeek: R1deepseek/deepseek-r1 | DeepSeek | $0.7 / 1M tokens | $2.50 / 1M tokens | 163.8k | JSON modeLong contextReasoningStreaming | Chinese reasoning, math | 1800-6000ms | Catalog | OpenRouter if available |
| Doubao Seed 2.0 Minidoubao-seed-2-0-mini | Volcengine | ¥0.2 / 1M tokens | ¥2 / 1M tokens | 128k | StreamingJSON mode | Coding | 900-2600ms | Catalog | Platform curated |
| DeepSeek: DeepSeek V4 Flashdeepseek/deepseek-v4-flash | DeepSeek | $0.112 / 1M tokens | $0.224 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | low-cost Chinese tasks, long-context summary | 800-2600ms | Catalog | OpenRouter if available |
| Qwen: Qwen3 Coder Plusqwen/qwen3-coder-plus | Alibaba Cloud / Qwen | $0.65 / 1M tokens | $3.25 / 1M tokens | 1M | Tool callingJSON modeLong contextStreaming | Chinese engineering workflows, code generation | 1200-3900ms | Catalog | OpenRouter if available |
FAQ
Konteks panjang, tool calling yang andal, output terstruktur, dan kemampuan mengikuti instruksi lebih penting daripada harga token mentah semata.
Gunakan kebijakan anggaran, bandingkan biaya output panjang, dan rute tugas sederhana ke model yang lebih murah sebelum menaikkan kasus sulit.