Daftar pendek model

API model coding terbaik untuk agen dan code review

Bandingkan API model berfokus coding berdasarkan konteks, dukungan tool, output JSON, latensi, harga, dan peran produksi yang direkomendasikan.

Daftar pendek ini untuk apa?: Model coding

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. · Diperbarui 2026-07-01

Fit score

Kandidat rekomendasi model coding

Mulai dari daftar pendek, uji prompt nyata, lalu bandingkan biaya bulanan sebelum routing produksi.

DeepSeekCatalogHealthytypical

DeepSeek-V4-1-Flash-GLB via NextModel: 1M-token context; $0.3 / 1M tokens in / $1.20 / 1M tokens out per 1M tokens. Capabilities: streaming.

$0.3 / 1M tokensInput$1.20 / 1M tokensOutput1MContext
Best forChinese Q&A, general chat
Streaming
Platform curatedCurated and maintained in the NextModel catalog
View details
OpenAICatalog

Whisper Large V3 Turbo via NextModel: context unpublished; $0 / 1M tokens in / $0 / 1M tokens out per 1M tokens. Capabilities: streaming.

$0 / 1M tokensInput—Output—Context
Best forGeneral chat via OpenAI, API workloads
Streaming
Platform curatedCurated and maintained in the NextModel catalog
View details
GoogleCatalogHealthytypical

‌Gemini 4 Argon via NextModel: 1M-token context; $2 / 1M tokens in / $10 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.

$2 / 1M tokensInput$10 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
StreamingTool callingJSON modeVisionLong context
Platform curatedCurated and maintained in the NextModel catalog
View details
AnthropicCatalogHealthyfast

Claude Haiku 5.5 via NextModel: 1M-token context; Starting at $0.1 / 1M tokens in / $0.5 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.

Starting at $0.1 / 1M tokensInput$0.5 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
StreamingTool callingJSON modeVisionLong context
Platform curatedCurated and maintained in the NextModel catalog
View details

Tabel perbandingan

Bandingkan daftar pendek berdasarkan harga, penyedia, konteks, kemampuan, dan sumber.

Gunakan tampilan ini untuk mempersempit shortlist produksi, membangun kebijakan fallback, atau membandingkan ekonomi model.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
DeepSeek-V4-1-Flash-GLBdeepseek/deepseek-v4-1-flash-glbDeepSeek$0.3 / 1M tokens$1.20 / 1M tokens1M
Streaming
Chinese Q&A, general chat1557-3097msCatalogPlatform curated
Whisper Large V3 Turboopenai/whisper-large-v3-turboOpenAI$0 / 1M tokens$0 / 1M tokens—
Streaming
General chat via OpenAI, API workloads0-0msCatalogPlatform curated
‌Gemini 4 Argongoogle/gemini-4-argonGoogle$2 / 1M tokens$10 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat2974-10589msCatalogPlatform curated
Claude Haiku 5.5anthropic/claude-haiku-5.5AnthropicStarting at $0.1 / 1M tokens$0.5 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1321-2017msCatalogPlatform curated
Doubao Seedance 2.5doubao/doubao-seedance-2-5-260628Doubao$0.225 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Dreamina-Seedance 2.0 Fastdreamina/dreamina-seedance-2-0-fast-260128Dreamina$0.122 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Dreamina Seedance 2.5dreamina/dreamina-seedance-2-5-260628Dreamina$0.234 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Gemini 3 Pro Image (Nano Banana Pro) gemini/gemini-3-pro-imageGemini$0.314 / image——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated

FAQ

Model coding FAQ

Apa yang membuat model bagus untuk agen coding?

Konteks panjang, tool calling yang andal, output terstruktur, dan kemampuan mengikuti instruksi lebih penting daripada harga token mentah semata.

Bagaimana tim mengendalikan biaya agen coding?

Gunakan kebijakan anggaran, bandingkan biaya output panjang, dan rute tugas sederhana ke model yang lebih murah sebelum menaikkan kasus sulit.