# Google Gemini 1.5 Flash

Google Gemini 1.5 Flash was last priced at $0.075 per million input tokens and $0.30 per million output tokens, as of October 22, 2026. None of the 6 coding benchmarks behind the index has measured it, so it has no coding index, but 52 benchmarks outside the index have a result below.

Page: https://llmbenchmark.ai/models/gemini-flash-1-5
Data from October 22, 2026. Every figure below names the board it was read from and the day.

- Maker: Google
- Released: May 23, 2024
- Price per million input tokens: $0.075
- Price per million output tokens: $0.30
- Context window: 1.05M tokens
- Status: retired. No longer sold through the API. Retired on September 29, 2025; last list price shown.

Benchmark results (52 of 195):

- GPQA Diamond: 46.0% (source: GPQA (Vals AI), read October 22, 2026)
- AIME: 17.3% (source: AIME (Vals AI), read October 22, 2026)
- MMLU Pro: 65.6% (source: MMLU Pro (Vals AI), read October 22, 2026)
- LiveCodeBench (Vals AI): 36.9% (source: Vals AI boards, read October 22, 2026)
- MMMU Pro (Vals AI): 57.2% (source: Vals AI boards, read October 22, 2026)
- MATH 500 (Vals AI): 78.8% (source: Vals AI boards, read October 22, 2026)
- MGSM (Vals AI): 86.6% (source: Vals AI boards, read October 22, 2026)
- LegalBench (Vals AI): 63.2% (source: Vals AI boards, read October 22, 2026)
- CorpFin (Vals AI): 38.2% (source: Vals AI boards, read October 22, 2026)
- TaxEval (Vals AI): 48.2% (source: Vals AI boards, read October 22, 2026)
- MortgageTax (Vals AI): 42.8% (source: Vals AI boards, read October 22, 2026)
- WeirdML: 24.9% (source: Epoch AI benchmarking hub, read October 22, 2026)
- BALROG: 14.6% (source: Epoch AI benchmarking hub, read October 22, 2026)
- GPQA Diamond (Epoch AI run): 47.3% (source: Epoch AI benchmarking hub, read October 22, 2026)
- OTIS Mock AIME: 16.3% (source: Epoch AI benchmarking hub, read October 22, 2026)
- MATH level 5: 61.9% (source: Epoch AI benchmarking hub, read October 22, 2026)
- GSM8K: 82.4% (source: Epoch AI benchmarking hub, read October 22, 2026)
- MMLU: 77.9% (source: Epoch AI benchmarking hub, read October 22, 2026)
- GeoBench: 76.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- DTBench: 53.8% (source: Epoch AI benchmarking hub, read October 22, 2026)
- PIQA: 87.5% (source: Epoch AI benchmarking hub, read October 22, 2026)
- LMArena Text: 1287 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: coding: 1261 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: hard prompts: 1257 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: math: 1269 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: instruction following: 1257 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: creative writing: 1285 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: 1141 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: English: 1289 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: non-English: 1278 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Chinese: 1295 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: German: 1262 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Japanese: 1252 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Korean: 1220 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: French: 1258 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Spanish: 1243 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Russian: 1287 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Polish: 1238 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: multi-turn: 1253 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: longer queries: 1284 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: expert: 1233 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: hard prompts in English: 1265 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: software and IT: 1278 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: mathematical work: 1279 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: science: 1299 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: medicine and healthcare: 1290 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: legal and government: 1302 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: business and finance: 1265 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: writing and language: 1293 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: entertainment and media: 1251 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: English: 1157 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: Chinese: 1137 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)