모델 후보 목록

Best coding model APIs for agents and code review

Compare coding model APIs by context length, tools, JSON output, latency, price, and what role they should play in production.

이 후보 목록은 어디에 쓰나?: Coding models

A model that completes a 20-line function is not the same product as a model that reads half a monorepo and calls tools. Output is expensive, tool calls fail in boring ways, and long context burns money. Use this page to pick a primary coding model and a cheaper fallback, then decide budget rules before agents run unsupervised.

출처 기준: NextModel use-case taxonomy and OpenRouter supported-parameter metadata when available. · 업데이트 2026-07-01

Fit score

추천 후보 coding models

먼저 후보 목록으로 시작한 다음 실제 프롬프트로 테스트하고 운영 라우팅 전에 월간 비용을 비교합니다.

AnthropicCatalog

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

$1.45 / 1M tokensInput$7.23 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
RoutingConfigured
StreamingTool callingJSON modeVisionLong context
Platform curatedNextModel gateway catalog (Go origin)
View details
AnthropicCatalog

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

$0.145 / 1M tokensInput$0.723 / 1M tokensOutput200kContext
Best forimage understanding, multimodal chat
RoutingConfigured
StreamingTool callingJSON modeVisionLong context
Platform curatedNextModel gateway catalog (Go origin)
View details
AnthropicCatalog

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

$0.723 / 1M tokensInput$3.62 / 1M tokensOutput200kContext
Best forimage understanding, multimodal chat
RoutingConfigured
StreamingTool callingJSON modeVisionLong context
Platform curatedNextModel gateway catalog (Go origin)
View details
AnthropicCatalog

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

$0.723 / 1M tokensInput$3.62 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
RoutingConfigured
StreamingTool callingJSON modeVisionLong context
Platform curatedNextModel gateway catalog (Go origin)
View details

비교표

가격, 공급자, 컨텍스트, 기능, 출처 기준으로 후보를 비교합니다.

운영 후보를 좁히거나 폴백 정책을 만들거나 모델 경제성을 비교할 때 사용합니다.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
Anthropic: Claude Fable 5anthropic/claude-fable-5Anthropic$1.45 / 1M tokens$7.23 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5Anthropic$0.145 / 1M tokens$0.723 / 1M tokens200k
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Opus 4.5anthropic/claude-opus-4.5Anthropic$0.723 / 1M tokens$3.62 / 1M tokens200k
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Opus 4.6anthropic/claude-opus-4.6Anthropic$0.723 / 1M tokens$3.62 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7Anthropic$0.723 / 1M tokens$3.62 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Opus 4.8anthropic/claude-opus-4.8Anthropic$0.723 / 1M tokens$3.62 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Claude Opus 5anthropic/claude-opus-5Anthropic$0.723 / 1M tokens$3.62 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5Anthropic$0.434 / 1M tokens$2.17 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated

FAQ

Coding models FAQ

What makes a model good for coding agents?

Reliable tool calling, structured output, enough context for the repo slice you send, and instructions it actually follows. Token price alone is a poor proxy.

How should teams control coding-agent cost?

Cap budgets per project, watch output tokens, and send simple tasks to cheaper models. Escalate only when quality checks fail.