# Google Gemini 1.5 Pro

Google Gemini 1.5 Pro was last priced at $1.25 per million input tokens and $5.00 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 54 benchmarks outside the index have a result below.

Page: https://llmbenchmark.ai/models/gemini-pro-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: $1.25
- Price per million output tokens: $5.00
- Context window: 2.1M tokens
- Status: retired. No longer sold through the API. Retired on September 29, 2025; last list price shown.

Benchmark results (54 of 195):

- GPQA Diamond: 58.3% (source: GPQA (Vals AI), read October 22, 2026)
- AIME: 18.8% (source: AIME (Vals AI), read October 22, 2026)
- MMLU Pro: 75.3% (source: MMLU Pro (Vals AI), read October 22, 2026)
- LiveCodeBench (Vals AI): 41.7% (source: Vals AI boards, read October 22, 2026)
- MMMU Pro (Vals AI): 65.5% (source: Vals AI boards, read October 22, 2026)
- MATH 500 (Vals AI): 82.8% (source: Vals AI boards, read October 22, 2026)
- MGSM (Vals AI): 89.2% (source: Vals AI boards, read October 22, 2026)
- LegalBench (Vals AI): 69.1% (source: Vals AI boards, read October 22, 2026)
- CorpFin (Vals AI): 40.5% (source: Vals AI boards, read October 22, 2026)
- TaxEval (Vals AI): 59.5% (source: Vals AI boards, read October 22, 2026)
- MortgageTax (Vals AI): 56.8% (source: Vals AI boards, read October 22, 2026)
- MedQA (Vals AI): 76.5% (source: Vals AI boards, read October 22, 2026)
- WeirdML: 22.2% (source: Epoch AI benchmarking hub, read October 22, 2026)
- BALROG: 21.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- GPQA Diamond (Epoch AI run): 57.2% (source: Epoch AI benchmarking hub, read October 22, 2026)
- ARC-AGI-2: 0.8% (source: Epoch AI benchmarking hub, read October 22, 2026)
- SimpleBench: 27.1% (source: Epoch AI benchmarking hub, read October 22, 2026)
- OTIS Mock AIME: 23.1% (source: Epoch AI benchmarking hub, read October 22, 2026)
- MATH level 5: 70.4% (source: Epoch AI benchmarking hub, read October 22, 2026)
- MMLU: 86.9% (source: Epoch AI benchmarking hub, read October 22, 2026)
- DTBench: 59.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- TheAgentCompany: 3.4% (source: Epoch AI benchmarking hub, read October 22, 2026)
- BIG-Bench Hard: 89.2% (source: Epoch AI benchmarking hub, read October 22, 2026)
- LMArena Text: 1319 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: coding: 1294 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: hard prompts: 1296 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: math: 1315 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: instruction following: 1297 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: creative writing: 1332 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: 1161 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: English: 1323 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: non-English: 1312 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Chinese: 1331 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: German: 1286 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Japanese: 1292 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Korean: 1298 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: French: 1302 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Spanish: 1310 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Russian: 1320 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Polish: 1291 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: multi-turn: 1296 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: longer queries: 1308 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: expert: 1278 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: hard prompts in English: 1299 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: software and IT: 1304 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: mathematical work: 1324 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: science: 1321 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: medicine and healthcare: 1306 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: legal and government: 1328 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: business and finance: 1286 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: writing and language: 1326 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: entertainment and media: 1305 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: English: 1159 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: Chinese: 1187 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)