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GoogleGemini 2.5 Flash-LiteVSZ.ai (Zhipu AI)GLM-4.7

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

Our Take

We recommend GLM-4.7 if you need peak intelligence for reasoning and coding tasks, or the 5.7x cheaper Gemini 2.5 Flash-Lite to optimize your budget for high-volume pipelines. While GLM-4.7 holds a clear performance lead, it carries a heavy price premium. Choose GLM-4.7 for complex logic, or Gemini 2.5 Flash-Lite for budget efficiency.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Verified benchmark. GLM-4.7 scored 73.8%, while Gemini 2.5 Flash-Lite scored 41.3%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GLM-4.7 scored 85.7%, while Gemini 2.5 Flash-Lite scored 62.5%.
  • Cost Efficiency: Gemini 2.5 Flash-Lite pricing ($0.1/M input, $0.4/M output) is 5.7x cheaper than GLM-4.7 ($0.6/M input, $2.2/M output).
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    Model Specs

    Gemini 2.5 Flash-Lite

    Website

    Benchmarks & Scores

    Coding (swe-bench-verified)
    41.3%

    multi-file code and clearly defined tasks

    Reasoning (gpqa-diamond)
    62.5%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)5.7x cheaper
    $0.17Input: $0.10 | Output: $0.40
    Context WindowLarger
    1.05M tokens
    Model Specs

    GLM-4.7

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (swe-bench-verified)Winner (+32.5%)
    73.8%

    multi-file code and clearly defined tasks

    Reasoning (gpqa-diamond)Winner (+23.2%)
    85.7%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $1.00Input: $0.60 | Output: $2.20
    Context Window
    202.75k tokens
    Read our data collection methodology

    Frequently Asked Questions about Gemini 2.5 Flash-Lite vs GLM-4.7

    Gemini 2.5 Flash-Lite is cheaper than GLM-4.7. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 5.7x cheaper than GLM-4.7 at $1.00/1M tokens.

    GLM-4.7 is better for coding tasks on this benchmark. It scores 73.8% on swe-bench-verified (multi-file code and clearly defined tasks) compared to Gemini 2.5 Flash-Lite which scores 41.3%.

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