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aiqbench

Google · model passport

Google: Gemini 3.6 Flash

gemini-3-6-flash
  • Cloud only
  • Proprietary licence
  • 1,048,576 context
  • Released 2026-09-13(first seen on LMArena)
13/27axes covered
Overall · LMArena
1,483#20 of 396
Best percentile
95.9GPQA Diamond
Cohort standing
72.4median 60.4

What the data says

Benchmarked on 13 of 27 tracked axes. Every figure below is the model's own published result on that board.

Strongest axes

  • 95.9 pct — GPQA Diamond (94.1%)
  • 95.2 pct — Overall (1,483)
  • 93.4 pct — Instruction following (1,472)

Uneven: 72.3 percentile points between its best and worst axis — 95.9 pct on GPQA Diamond versus 23.6 pct on Agent Arena.

  • GPQA Diamond95.9 pct94.1%Verify →
  • Overall95.2 pct1,483Verify →
  • Instruction following93.4 pct1,472Verify →
  • Hard prompts93.2 pct1,501Verify →
  • Coding91 pct1,518Verify →
  • Vision Arena86.7 pct1,281Verify →
  • Factuality Arena86.6 pct1,471Verify →
  • SimpleQA Verified86.6 pct66.2%Verify →
  • AIME (math)78 pct94.2%Verify →
  • WebDev Arena71.2 pct1,538Verify →
  • ARC-AGI-267.4 pct60.4%Verify →
  • Document Arena39.5 pct1,453Verify →
  • Agent Arena23.6 pct-0.047Verify →
  • Search ArenaNot benchmarked
  • FrontierMathNot benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot 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

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-3.6-flash
Context length1,048,576 tokens
Max output65,536 tokens
Acceptstext, image, video, file, audio
Input price$0.75 per 1M tokens
Cached input price$0.07 per 1M tokens
Output price$3.75 per 1M tokens

API parameters this endpoint supports

Include reasoningMax tokensReasoningReasoning effortResponse 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-3.6-flash","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-3.6-flash-high stands at 72.4 (raw mean 77.6) — measured on 13 of 27 axes.

    standingtemplateVerify →

  • gemini-3.6-flash-high stands at 72.4 versus a cohort median of 60.4 across 175 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 →