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Google DeepMind · model passport

Google: Gemini 2.5 Pro Preview 06-05

gemini-2-5-pro-preview-06-05
  • 1,048,576 context
  • Released 2025-06-05(curated)
5/27axes covered
Best percentile
79.3SimpleBench
Cohort standing
52.2median 50.8

What the data says

Benchmarked on 5 of 27 tracked axes. Every figure below is the model's own published result on that board.

Weakest axes

  • 11.2 pct — ARC-AGI-2 (0.0%)

Uneven: 68.1 percentile points between its best and worst axis — 79.3 pct on SimpleBench versus 11.2 pct on ARC-AGI-2.

  • SimpleBench79.3 pct62.4%Verify →
  • GPQA Diamond68.3 pct84.8%Verify →
  • Humanity's Last Exam60.9 pct21.6%Verify →
  • FrontierMath47.8 pct10.3%Verify →
  • ARC-AGI-211.2 pct0.0%Verify →
  • OverallNot benchmarked
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • AIME (math)Not benchmarked
  • SimpleQA VerifiedNot benchmarked
  • LiveBenchNot benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • Terminal-Bench 4.0Not benchmarked
  • MMLU-Pro (Artificial Analysis)Not benchmarked
  • LiveCodeBench (Artificial Analysis)Not benchmarked
  • IFBench (Artificial Analysis)Not benchmarked
  • HHEM Hallucination (Vectara)Not benchmarked
  • SWE-bench VerifiedNot benchmarked
  • Terminal-BenchNot benchmarked
  • CodingNot benchmarked
  • Instruction followingNot benchmarked
  • Hard promptsNot benchmarked

Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.

How to run it

Use it hosted

API model IDgoogle/gemini-2.5-pro-preview
Context length1,048,576 tokens
Max output65,536 tokens
Acceptsfile, image, text, audio
Input price$1.25 per 1M tokens
Cached input price$0.13 per 1M tokens
Output price$10 per 1M tokens

API parameters this endpoint supports

Include reasoningMax tokensReasoningResponse formatSeedStop sequencesStructured outputsTemperatureTool choiceTool callingTop-p

Example request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemini-2.5-pro-preview","messages":[{"role":"user","content":"Hello"}]}'

View on OpenRouter →

Identifiers, limits and prices are synced from the upstream source shown above. Any field we haven't synced is left out entirely rather than guessed.

  • gemini-2.5-pro-preview-06-05 stands at 52.2 (raw mean 53.5) — measured on 5 of 27 axes.

    standingtemplateVerify →

  • gemini-2.5-pro-preview-06-05 stands at 52.2 versus a cohort median of 50.8 across 141 models released within 180 days — above the peer median.

    cohorttemplateVerify →

Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →