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Anthropic: Claude Sonnet 4.6 vs Anthropic: Claude Haiku 4.5: Coding Performance with 10 Evaluators

We analyze the coding capabilities of Anthropic: Claude Sonnet 4.6 vs Anthropic: Claude Haiku 4.5 using PeerLM's rigorous Coding Performance with 10 Evaluators benchmark.

Anthropic: Claude Sonnet 4.6

8.4

preference score

vs

Anthropic: Claude Haiku 4.5

1.6

preference score

Judges ranked the responses in this Run against each other; the rank is mapped onto a 0–10 scale. It shows which response was preferred, not how good either one is — and it is not a percentage, a pass rate, or a check that the output was correct.

Sample size for this comparison was not recorded. Treat it as directional.

Evidence clarification: this article predates recorded sample provenance. Treat its conclusions as claims about the displayed examples; they do not establish general model superiority, verified correctness, or production suitability.

Key Findings

Overall PerformanceAnthropic: Claude Sonnet 4.6

Sonnet 4.6 achieved an overall score of 8.38, significantly outperforming Haiku 4.5.

Coding AccuracyAnthropic: Claude Sonnet 4.6

Sonnet 4.6 demonstrated superior logic and syntax correctness in our 10-evaluator test.

Cost EfficiencyAnthropic: Claude Haiku 4.5

Haiku 4.5 is the more economical choice, though it sacrifices significant performance.

Specifications

SpecAnthropic: Claude Sonnet 4.6Anthropic: Claude Haiku 4.5
Provideranthropicanthropic
Context Length1.0M200K
Input Price (per 1M tokens)$3.00$1.00
Output Price (per 1M tokens)$15.00$5.00
Max Output Tokens128,00064,000
Tierfrontieradvanced

Our Verdict

Anthropic: Claude Sonnet 4.6 is the clear winner for coding-intensive tasks, providing a high level of accuracy and instruction adherence. While Anthropic: Claude Haiku 4.5 is more cost-effective, its performance in this benchmark indicates it is better suited for lighter, less complex programming assistance.

Overview

In the rapidly evolving landscape of Large Language Models, choosing the right architecture for software development tasks is critical. This evaluation compares Anthropic: Claude Sonnet 4.6 vs Anthropic: Claude Haiku 4.5, focusing specifically on their ability to handle complex programming tasks. By utilizing PeerLM’s comparative methodology with 10 industry evaluators, we provide an unbiased look at how these models perform when tasked with real-world coding challenges.

Benchmark Results

The following table summarizes the performance metrics observed during our evaluation run. The scores reflect the consensus of 10 expert evaluators analyzing the accuracy and instruction-following capabilities of each model.

ModelOverall ScoreAccuracyInstruction FollowingTotal Cost (USD)
Anthropic: Claude Sonnet 4.68.388.388.380.014196
Anthropic: Claude Haiku 4.51.621.621.620.004878

Criteria Breakdown

Our evaluation focused on two primary pillars of coding success: Accuracy and Instruction Following. In the context of coding, accuracy refers to the functional correctness of the generated syntax and logic, while instruction following measures how well the model adheres to specific constraints, such as using particular libraries or following provided boilerplate code.

The data reveals a significant performance gap. Anthropic: Claude Sonnet 4.6 achieved an overall score of 8.38, demonstrating a high degree of reliability in generating executable code. Conversely, Anthropic: Claude Haiku 4.5 struggled to reach the same level of precision, scoring 1.62. This suggests that while Haiku remains a lightweight option, Sonnet is the clear choice for complex development pipelines.

Cost & Latency

When balancing performance with economics, developers must weigh the cost per request. Anthropic: Claude Sonnet 4.6 costs approximately $0.014196 per total run, while Anthropic: Claude Haiku 4.5 is significantly cheaper at $0.004878. However, the performance delta of 6.76 points suggests that the increased cost for Sonnet is a justified investment for mission-critical coding tasks where debugging time is more expensive than API tokens.

Use Cases

  • Anthropic: Claude Sonnet 4.6: Best suited for backend development, architectural planning, complex algorithm implementation, and debugging legacy codebases.
  • Anthropic: Claude Haiku 4.5: Best suited for simple script generation, code documentation, basic syntax assistance, and high-volume, low-latency tasks where extreme accuracy is less critical.

Verdict

The comparative evaluation of Anthropic: Claude Sonnet 4.6 vs Anthropic: Claude Haiku 4.5 highlights a clear hierarchy. Sonnet 4.6 dominates in coding proficiency, providing the accuracy and structural integrity required for professional software engineering. While Haiku 4.5 offers a lower cost profile, it lacks the depth required for high-stakes programming, making Sonnet the superior choice for developers prioritizing code quality.

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Methodology

Evaluated using PeerLM's blind evaluation pipeline with 4 responses per model across 2 criteria.