Gemini 2.5 Pro

GoogleLegacy

Input price
$1.25
Per 1 million tokens (USD)
Output price
$10.00
Per 1 million tokens (USD)
Effort levels
3total
Default not stated
Benchmark results
6total
Benchmark types: 6

Model information

API model ID
gemini-2.5-pro
release date
Unknown
effort
Low / Med / High
Effort source
Based on the table in Gemini API thinking documentation (aistudio.google.com/docs/thinking, retrieved 2026-11-13): gemini-2.5-pro is On; levels are low, medium, high (default level not stated).
Claude Code
unavailable
Codex
unavailable
Availability notes
Support in Claude Code / Codex is not explicitly stated officially (Gemini API, AI Studio, Antigravity, etc. are official routes). The official model list for Claude Code / Codex (checked 2026-11-12) contains only Anthropic / OpenAI models, respectively, so both are false.
Availability source
https://aistudio.google.com/docs/models

Price (USD per 1 million tokens)

Prices do not vary by effort; token consumption does.

input$1.25
output$10.00
cache read$0.13
cache write—

deprecated. Routes to gemini-3.8-flash on 2026-12-01. ≤200k / >200k: input $1.25/$2.50, output $10.00/$15.00, cache $0.125/$0.25

Gemini 2.5 Pro (deprecated) gemini-2.5-pro $1.25 / $2.50 | $10.00 / $15.00

Source: https://aistudio.google.com/docs/pricing

Benchmark results

BenchmarkeffortScoreSource cost (metric)measured/reported bysourceConditions and extraction method
GPQA Diamondnot statednot stated85.3%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, gpqa_diamond.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "gemini-2.5-pro". No effort suffix in Model version. Data retrieved 2026-11-12. No effort because effort is not stated in the source.transcribed from table
Source excerptgpqa_diamond.csv: Model version=gemini-2.5-pro, Best score (across scorers)=0.8529040404040404, stderr=0.02117010842348584, Started at=2025-11-16T19:00:08.124ZLocation gpqa_diamond.csv, data row 208 (file line 299), id=cqUZ6gcq2HBnShFRWvKjGr, Model version=gemini-2.5-pro
FrontierMath Tiers 1-3(v2)not statednot stated24.6%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tiers_1_3_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "gemini-2.5-pro". No effort suffix in Model version. Data retrieved 2026-11-12. No effort because effort is not stated in the source.transcribed from table
Source excerptfrontiermath_tiers_1_3_v2.csv: Model version=gemini-2.5-pro, Best score (across scorers)=0.24561403508771928, stderr=0.0255425481026507, Started at=2026-06-11T23:56:12.000ZLocation frontiermath_tiers_1_3_v2.csv, data row 108 (file line 138), id=FkywQ2KS4AkLPzjSPmhHcS, Model version=gemini-2.5-pro
FrontierMath Tier 4(v2)not statednot stated0.0%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tier_4_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "gemini-2.5-pro". No effort suffix in Model version. Data retrieved 2026-11-12. No effort because effort is not stated in the source.transcribed from table
Source excerptfrontiermath_tier_4_v2.csv: Model version=gemini-2.5-pro, Best score (across scorers)=0.0, stderr=0.0, Started at=2026-06-11T23:56:12.000ZLocation frontiermath_tier_4_v2.csv, data row 64 (file line 101), id=2z7kL9DpfvY44T9Wo99FYx, Model version=gemini-2.5-pro
OTIS Mock AIME 2024-2025not statednot stated84.7%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, otis_mock_aime_2024_2025.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "gemini-2.5-pro". No effort suffix in Model version. Data retrieved 2026-11-12. No effort because effort is not stated in the source.transcribed from table
Source excerptotis_mock_aime_2024_2025.csv: Model version=gemini-2.5-pro, Best score (across scorers)=0.8472222222222222, stderr=0.048143196054711346, Started at=2025-11-16T19:00:06.794ZLocation otis_mock_aime_2024_2025.csv, data row 216 (file line 313), id=iJp7PgYZa3PiXAV8UWd7MC, Model version=gemini-2.5-pro
Epoch Capabilities Index(ECI)not statednot stated144.87—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)third-party · Retrieved 2026-11-12A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.transcribed from table
Source excerpteci_scores.csv: Model=Gemini 2.5 Pro (Jun 2025), eci=144.87, eci_ci_low=143.39, eci_ci_high=146.33Location epoch_capabilities_index/eci_scores.csv, data row 96 (file line 97), Model=Gemini 2.5 Pro (Jun 2025)
τ²-bench banking_knowledge (v1.0.1)HighHigh13.7%—Sierraτ²-bench leaderboard submission gemini-2-5-pro_sierra_2026-05-05 (sierra-research/tau2-bench, MIT)third-party · Retrieved 2026-11-13τ²-bench leaderboard submission gemini-2-5-pro_sierra_2026-05-05 (submission_type standard, tau2_bench_version 1.0.1). Submitter "Sierra", model_organization "Google": Run by Sierra, which operates τ²-bench (third-party measurement). Verified by the leaderboard (prompts not modified, no questions omitted). Trajectories are not public (preliminary comparison). The value is pass^1 (%). reasoning_effort "high". User simulator gpt-5.2 (reasoning_effort low). Search configuration retrieval_config "alltools". Evaluation date 2026-05-05. Notes summary: rescored on 2026-07-15 following a scoring correction in v1.0.1; 4 trial runs; seed 300.transcribed from table
Source excerptbanking_knowledge.pass_1=13.66Location In submissions/gemini-2-5-pro_sierra_2026-05-05/submission.json: results.banking_knowledge.pass_1 (line 22 of file). model_name "Gemini 2.5 Pro". verification.details (line 39) is "Trajectories suppressed for this preliminary AllTools comparison". methodology.notes (line 35)

Related rankings

References