Claude Sonnet 4.6 for structured output
Claude Sonnet 4.6 is ranked #4 on LLMDex's llms for structured output ranking out of 5 models we track for this use case. Below, the specific reasons it slots where it does, and when you should reach for an alternative.
Updated
At a glance
- Rank
- #4 of 5
- Context
- 200K tokens
- Output / 1M
- Pricing not published
- Released
- Jan 2026
Why Claude Sonnet 4.6 fits this task
Three things about Claude Sonnet 4.6 that map directly onto what this task rewards: Mature ecosystem support (Cursor, Cline, etc.). Beyond the task-specific fit, Claude Sonnet 4.6 also brings excellent quality-cost ratio and strong for code review and writing, both of which compound when the workload broadens.
The criteria this task rewards
LLMDex ranks best llms for structured output on 5 criteria , these are the axes the ranking uses, in priority order:
- Schema obedience under stress
- Instructable formatting (XML, YAML, custom DSLs)
- Stability across reruns of the same prompt
- Streaming structured output support
- Cost
How Claude Sonnet 4.6 scores on each axis
Where Claude Sonnet 4.6 costs you: tier below opus on hardest agent tasks. For most teams this is acceptable on this workload, the value of the strengths above outweighs the cost. For cost-bound workloads or teams with strict latency budgets, run an eval against the next two ranked models on real data before committing.
Strengths that pay off here
- Excellent quality-cost ratio
- Strong for code review and writing
- Reliable tool-use
- Mature ecosystem support (Cursor, Cline, etc.)
Tracked weaknesses
- Tier below Opus on hardest agent tasks
- More conservative refusal patterns for edge content
When to pick something else
If you can pay slightly more or accept slightly different tradeoffs, Gemini 3 Pro from Google ranks one position higher and tends to win on the hardest cases. Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
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Other models for structured output
- GPT-5.5 for structured output
OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.
Read guide - Claude Opus 4.7 for structured output
Anthropic's mid-2026 flagship, ahead on SWE-bench, agent reliability, and writing quality.
Read guide - Gemini 3 Pro for structured output
Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
Read guide - GPT-5 for structured output
OpenAI's unified flagship combining GPT-line breadth with built-in reasoning, replacing both GPT-4o and the o-series for most users.
Read guide
Claude Sonnet 4.6 for other use cases
Direct comparisons
Frequently asked
Is Claude Sonnet 4.6 good for structured output?
Claude Sonnet 4.6 is ranked #4 on LLMDex's structured output list. Anthropic's mid-tier 4.6 release, the workhorse model behind most production Anthropic deployments.How much does Claude Sonnet 4.6 cost for structured output?
Anthropic has not published per-token pricing for Claude Sonnet 4.6 at the time of writing.What's a cheaper alternative to Claude Sonnet 4.6 for structured output?
The next ranked model on this task is GPT-5. Compare both before committing.When should I NOT use Claude Sonnet 4.6 for structured output?
Tracked weakness: Tier below Opus on hardest agent tasks. If that constraint is binding for your workload, the next-ranked model on this task is the safer pick.
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