Gemini 2.5 Flash-Lite Preview 09-2025

Google DeepMind
Gemini 2.5 Flash-Lite Preview 09-2025 launch post cover
Context
1Mtokens
Released
1y ago

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Arena leaderboards and other sourced evaluations appear below; missing scores are not zero.

How it ranks

Against its predecessor, similarly priced models and the models ranked around it.

DeepSWE 1.1

Best pass@1 per model · Higher is better

Not evaluated in DeepSWE 1.1

Arena Text

Best Arena rating per model · Higher is better

Arena #194

  1. 1456
    Claude Sonnet 4.5Similar release date
  2. 1423
    Qwen3 MaxSimilar release date
  3. 1416
    DeepSeek V3.1 TerminusSimilar release date
  4. 1413
    Qwen3 VL 235B A22B InstructSimilar release date
  5. 1383
    GPT-4.1 MiniNearby rank
  6. 1382
  7. 1379
    Gemini 2.5 Flash-Lite Preview 09-2025
  8. 1379
  9. 1378
    GLM 4.6VNearby rank

Ahead of 0 of 4 models released around the same time

Arena WebDev

Best Arena rating per model · Higher is better

Not ranked on Arena WebDev yet

Arena Vision

Best Arena rating per model · Higher is better

Arena #108

  1. 1214
    Qwen3 VL 235B A22B InstructSimilar release date
  2. 1188
    Qwen3 VL 235B A22B ThinkingSimilar release date
  3. 1185
    GPT-5 MiniNearby rank
  4. 1174
    Gemini 2.5 Flash-Lite Preview 09-2025
  5. 1172
    Gemini 2.0 FlashNearby rank
  6. 1162
  7. 1160
    Mistral Medium 3.1Similar release date
  8. 1153
    GLM 4.5VSimilar release date

Ahead of 1 of 4 models released around the same time

Arena Search

Best Arena rating per model · Higher is better

Not ranked on Arena Search yet

Arena Document

Best Arena rating per model · Higher is better

Not ranked on Arena Document yet

Agent Arena

Best IPS score per model · Higher is better

Not ranked on Agent Arena yet

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

All published scores

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

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