whichLlmmodel
Back to Dashboard

AnthropicClaude Haiku 4.5VSxAIGrok 4.20

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend Grok 4.20 for complex complex codebases, multi-file repositories, and architectural planning, or the 1.5x cheaper Claude Haiku 4.5 if your budget requires optimizing costs for very high-volume pipelines. While Grok 4.20 offers a clear reasoning advantage, it carries a moderate price premium. Choose Grok 4.20 for architectural codebase planning, or Claude Haiku 4.5 to save on API costs for simple scripts.
WHY?
Benchmark Calculations & Evidence:
  • Coding Evaluation: Claude Haiku 4.5 was evaluated on SWE-bench Verified (scoring 73.3%), while Grok 4.20 was evaluated on SWE-bench Pro (scoring 51.8%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Grok 4.20 scored 90%, while Claude Haiku 4.5 scored 73%.
  • Cost Efficiency: Claude Haiku 4.5 pricing ($1/M input, $5/M output) is 1.5x cheaper than Grok 4.20 ($2/M input, $6/M output).
  • Was this recommendation helpful?
    Model Specs

    Claude Haiku 4.5

    Benchmarks & Scores

    Coding (swe-bench-verified)
    73.3%

    multi-file code and clearly defined tasks

    Reasoning (gpqa-diamond)
    73%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)1.5x cheaper
    $2.00Input: $1.00 | Output: $5.00
    Context Window
    200k tokens
    Model Specs

    Grok 4.20

    Benchmarks & Scores

    Coding (swe-bench-pro)
    51.8%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+17.0%)
    90%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $3.00Input: $2.00 | Output: $6.00
    Context WindowLarger
    1.05M tokens

    Frequently Asked Questions about Claude Haiku 4.5 vs Grok 4.20

    Claude Haiku 4.5 is cheaper than Grok 4.20. Claude Haiku 4.5 has a blended cost of $2.00/1M tokens, which is about 1.5x cheaper than Grok 4.20 at $3.00/1M tokens.

    For coding tasks, Claude Haiku 4.5 scores 73.3% on swe-bench-verified (multi-file code and clearly defined tasks), while Grok 4.20 scores 51.8% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

    Do you want to find a model for your constraints?

    Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

    Open Model Finder