google/gemini-2.5-pro| Provider | Input, $ per 1M | Output, $ per 1M | In our data since |
|---|---|---|---|
| Poe | $0.87 | $7 | 31 Jul 2026 |
| Jiekou.AI | $1.125 | $9 | 31 Jul 2026 |
Databricks
databricks/databricks-gemini-2-5-pro
|
$1.25 | $10 | 31 Jul 2026 |
| neon | $1.25 | $10 | 31 Jul 2026 |
| frogbot | $1.25 | $10 | 31 Jul 2026 |
| auriko | $1.25 | $10 | 31 Jul 2026 |
| perplexity-agent | $1.25 | $10 | 31 Jul 2026 |
| modelis | $1.25 | $10 | 2 Aug 2026 |
| 302.AI | $1.25 | $10 | 31 Jul 2026 |
| AIHubMix | $1.25 | $10 | 31 Jul 2026 |
| Abacus.AI | $1.25 | $10 | 31 Jul 2026 |
| CrossModel | $1.25 | $10 | 31 Jul 2026 |
Databricks
databricks-gemini-2-5-pro
|
$1.25 | $10 | 31 Jul 2026 |
| DeepInfra | $1.25 | $10 | 31 Jul 2026 |
| FastRouter | $1.25 | $10 | 31 Jul 2026 |
| GitHub Copilot | $1.25 | $10 | 31 Jul 2026 |
| Google DeepMind | $1.25 | $10 | 31 Jul 2026 |
| Google Vertex AI | $1.25 | $10 | 31 Jul 2026 |
| Helicone | $1.25 | $10 | 31 Jul 2026 |
| Kilo Code | $1.25 | $10 | 31 Jul 2026 |
| LLM Gateway | $1.25 | $10 | 31 Jul 2026 |
| Merge Gateway | $1.25 | $10 | 31 Jul 2026 |
| NEAR AI | $1.25 | $10 | 31 Jul 2026 |
| OCI Generative AI | $1.25 | $10 | 31 Jul 2026 |
| OpenRouter | $1.25 | $10 | 31 Jul 2026 |
| Requesty | $1.25 | $10 | 31 Jul 2026 |
| SAP AI Core | $1.25 | $10 | 31 Jul 2026 |
| Vercel | $1.25 | $10 | 31 Jul 2026 |
| ZenMux | $1.25 | $10 | 31 Jul 2026 |
| Cortecs | $1.654 | $11.024 | 31 Jul 2026 |
| vercel_ai_gateway | $2.5 | $10 | 31 Jul 2026 |
| NanoGPT | $2.5 | $10 | 31 Jul 2026 |
| OrcaRouter | $2.5 | $15 | 31 Jul 2026 |
Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.
A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.
The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.
| Task set | Result | Run conditions | Measured by |
|---|---|---|---|
| Arena Score in French | 1,470.66 1,456–1,485 | — | — |
| Arena Score in Spanish | 1,469.59 1,457–1,482 | — | — |
| Arena Score in Russian | 1,460.7 1,454–1,467 | — | — |
| Arena Score, overall | 1,457.52 1,455–1,460 | — | — |
| Arena Score in English | 1,457.33 1,454–1,461 | — | — |
| Arena Score, hard prompts | 1,454.97 1,452–1,458 | — | — |
| Arena Score, expert questions | 1,454.85 1,448–1,462 | — | — |
| Arena Score, creative writing | 1,454.49 1,449–1,460 | — | — |
| Arena Score, programming | 1,452.45 1,448–1,457 | — | — |
| Arena Score, multi-turn dialogue | 1,452.3 1,448–1,457 | — | — |
| Arena Score, mathematics | 1,450.58 1,444–1,458 | — | — |
| Arena Score, long queries | 1,449.35 1,445–1,453 | — | — |
| Arena Score, instruction following | 1,437.05 1,433–1,441 | — | — |
| Arena Score, understanding diagrams | 1,271.93 1,265–1,279 | — | — |
| Arena Score, text recognition in images | 1,269.27 1,264–1,274 | — | — |
| Arena Score, working with images | 1,261.67 1,257–1,266 | — | — |
| Arena Score, web development | 1,224.23 1,208–1,240 | — | — |
| Mock AIME 2024–2025 — olympiad problems | 84.71 % | · with a tuned harness | Epoch evaluations |
| Creative writing (Lech Mazur’s evaluation) | 83.8 % | — | lechmazur/writing Github repository |
| GPQA Diamond — graduate-level questions | 80.39 % | · with a tuned harness | Epoch evaluations |
| SWE-bench Verified — fixing bugs in repositories | 57.56 % | · with a tuned harness | Epoch evaluations |
| SimpleQA Verified — factual accuracy | 56 % | — | Epoch evaluations |
| WeirdML — unusual machine learning tasks | 54.03 % | thinking budget: 16K | WeirdML Leaderboard |
| DeepResearch Bench — deep research | 49.71 % | — | DeepResearchBench Leaderboard |
| ARC-AGI — generalising to unseen patterns | 41 % | thinking budget: 16K · with a tuned harness | ARC Prize Leaderboard |
| Terminal-Bench — working in the command line | 32.6 % | · with a tuned harness | Terminal-Bench v2 Leaderboard |
| FrontierMath, levels 1–3 | 24.56 % | — | Epoch evaluations |
| GDPval — tasks from real occupations | 23.3 % | — | — |
| Chess puzzles | 15.83 % | — | Epoch evaluations |
| APEX-Agents | 6.6 % | — | — |
| ARC-AGI-2 | 4.86 % | thinking budget: 32K | — |
| CritPt — physics problems | 2 % | — | — |
| FrontierMath, level 4 — research-grade problems | 0 % | — | Epoch evaluations |