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AnthropicClaude Haiku 4.5VSGoogleGemma 4 31B

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

Our Take

We recommend Gemma 4 31B over Claude Haiku 4.5 because it holds a clear reasoning lead. Choose Gemma 4 31B for offline data control and scripting single-file apps or clearly defined functions, or Claude Haiku 4.5 only if you prefer using a cloud-hosted API setup for multi-file code and clearly defined tasks.
WHY?
Benchmark Calculations & Evidence:
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Gemma 4 31B scored 84.3%, while Claude Haiku 4.5 scored 73% (+11.3% gap).
  • Coding Performance: Evaluated on different benchmarks. Gemma 4 31B scored 80% on LiveCodeBench (scripting single-file apps or clearly defined functions), while Claude Haiku 4.5 scored 73.3% on SWE-bench Verified (multi-file code and clearly defined tasks).
  • Hosting Model: Gemma 4 31B runs locally for $0 API costs, while Claude Haiku 4.5 is hosted via a cloud-hosted API setup.
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    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)
    $2.00Input: $1.00 | Output: $5.00
    Context Window
    200k tokens
    Model Specs

    Gemma 4 31B

    Open Source

    Benchmarks & Scores

    Coding (live-code-bench)
    80%

    scripting single-file apps or clearly defined functions

    Reasoning (gpqa-diamond)Winner (+11.3%)
    84.3%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    Self HostLocal execution (zero API fees)
    Context WindowLarger
    262.14k tokens

    Frequently Asked Questions about Claude Haiku 4.5 vs Gemma 4 31B

    For coding tasks, Claude Haiku 4.5 scores 73.3% on swe-bench-verified (multi-file code and clearly defined tasks), while Gemma 4 31B scores 80% on live-code-bench (scripting single-file apps or clearly defined functions).

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