Modell-Shortlist

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.

Wofur ist diese Shortlist gedacht?: 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.

Quellenbasis: NextModel use-case taxonomy and OpenRouter supported-parameter metadata when available. · Aktualisiert 2026-07-01

Fit score

Empfohlene Kandidaten coding models

Starten Sie mit der Shortlist, testen Sie echte Prompts und vergleichen Sie die monatlichen Kosten vor dem Produktionsrouting.

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

Vergleichstabelle

Vergleichen Sie die Shortlist nach Preis, Anbieter, Kontext, Fahigkeiten und Quelle.

Nutzen Sie diese Ansicht, wenn Sie eine Produktions-Shortlist eingrenzen, eine Fallback-Strategie bauen oder die Modellokonomie vergleichen.

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.