Compare coding model APIs by context length, tools, JSON output, latency, price, and what role they should play in production.
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.
Source basis: NextModel use-case taxonomy and OpenRouter supported-parameter metadata when available. · Updated 2026-07-01
How to use this shortlist
Fit score
Start with the shortlist, then test real prompts and compare monthly cost before production routing.
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...
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...
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...
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...
Comparison table
Use this view when you're narrowing a production shortlist, building a fallback policy, or comparing model economics.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | Anthropic | $1 / 1M tokens | $5 / 1M tokens | 200k | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| Anthropic: Claude Opus 4.5anthropic/claude-opus-4.5 | Anthropic | $5 / 1M tokens | $25 / 1M tokens | 200k | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| Anthropic: Claude Opus 4.6anthropic/claude-opus-4.6 | Anthropic | $5 / 1M tokens | $25 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | Anthropic | $3 / 1M tokens | $15 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| Anthropic: Claude Sonnet 4.6anthropic/claude-sonnet-4.6 | Anthropic | $3 / 1M tokens | $15 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| FLUX.2 Flexblack-forest-labs/FLUX.2-flex | Black Forest Labs | $0.2 / image | — | — | StreamingVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| FLUX.2 PROblack-forest-labs/FLUX.2-pro | Black Forest Labs | $0.075 / image | — | — | StreamingVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| Deepseek V3.2 CNdeepseek/deepseek-v3.2-cn | DeepSeek | $0.29 / 1M tokens | $0.44 / 1M tokens | — | Streaming | Chinese Q&A, general chat | 1000-3000ms | Catalog | Platform curated |
FAQ
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.
Cap budgets per project, watch output tokens, and send simple tasks to cheaper models. Escalate only when quality checks fail.
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