Claude Haiku 4.5 vs Claude Opus 4.7 for Persona Consistency
Winner: Claude Haiku 4.5. In our testing both Claude Haiku 4.5 and Claude Opus 4.7 score 5/5 on Persona Consistency and are tied for 1st (rank 1 of 53). Practically, Haiku 4.5 is the better choice for most Persona Consistency use cases because it matches Opus on maintaining character and resisting injection while being far more cost-efficient ($1 per million input tokens / $5 per million output tokens vs Opus at $5/$25) and offering stronger multilingual (5 vs 4) and classification (4 vs 3) performance. Opus 4.7 does have modest advantages in safety calibration (3 vs 2), constrained rewriting (4 vs 3), and creative problem solving (5 vs 4), so it can be preferable when stricter refusal behavior, tight compression while staying in-character, or high creative fidelity are the priority.
anthropic
Claude Haiku 4.5
Benchmark Scores
External Benchmarks
Pricing
Input
$1.00/MTok
Output
$5.00/MTok
modelpicker.net
anthropic
Claude Opus 4.7
Benchmark Scores
External Benchmarks
Pricing
Input
$5.00/MTok
Output
$25.00/MTok
modelpicker.net
Task Analysis
Persona Consistency requires the model to hold a stable character across turns, resist prompt injection, and produce responses that match tone, knowledge, and constraints over long interactions. Key capabilities that matter are: long-context handling (retrieving and applying persona details over many tokens), faithfulness (not inventing persona facts), rejection/safety behavior (refusing irrelevant or harmful instructions that try to break character), and constrained rewriting (staying in-role when answers must fit strict length or format limits). In our testing both models score 5/5 on persona consistency and are tied for 1st of 53 models; they also share top scores on long-context (5/5) and faithfulness (5/5), which are primary enablers of sustained persona. Supporting proxy scores explain the tradeoffs: Haiku 4.5 shows stronger multilingual (5 vs 4) and classification (4 vs 3), which help when personas must be preserved across languages or routed in production; Opus 4.7 scores higher on safety calibration (3 vs 2) and constrained rewriting (4 vs 3), indicating slightly better refusal behavior and tighter in-role compression. Use these secondary scores to choose between the equally strong persona baselines.
Practical Examples
High-volume multilingual support bot — Haiku 4.5: both models keep persona (5/5), but Haiku’s multilingual 5 vs Opus 4 and far lower cost ($1/$5 vs $5/$25) make it the better operational choice for scaling in multiple languages. Long immersive role-play across massive context — Tie: both long context 5 and persona consistency 5, so either model will maintain character across large inputs; choose Haiku for cost, Opus if you need the larger raw context window. Safety-sensitive personas (medical, legal disclaimers) — Opus 4.7: safety calibration 3 vs Haiku 2 suggests Opus is more likely to apply refusal or guardrails while staying in-character. Microcopy or brand voice with strict length limits — Opus 4.7: constrained rewriting 4 vs Haiku 3 makes Opus better at compressing content without breaking persona. Creative in-character responses — Opus 4.7: creative problem solving 5 vs Haiku 4 when you need inventive but persona-faithful answers; for routine, consistent persona replies Haiku is cheaper and equally reliable.
Bottom Line
For Persona Consistency, choose Claude Haiku 4.5 if you need equal persona fidelity at much lower cost, better multilingual support, and stronger classification for production routing. Choose Claude Opus 4.7 if you prioritize slightly stronger safety calibration, constrained rewriting, or the highest creative-in-character output and can accept higher cost.
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.