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Google · model passport

Google: Gemini 4 Argon

gemini-4-argon
  • Cloud only
  • Proprietary licence
  • 1,048,576 context
  • Released 2026-10-13(first seen on LMArena)
11/27axes covered
Overall · LMArena
1,524#1 of 396
Best percentile
100.0Overall
Cohort standing
83.0median 60.6

What the data says

Benchmarked on 11 of 27 tracked axes. Every figure below is the model's own published result on that board.

Strongest axes

  • 100 pct — Overall (1,524)
  • 100 pct — Factuality Arena (1,511)
  • 100 pct — GPQA Diamond (96.4%)

Uneven: 75.2 percentile points between its best and worst axis — 100 pct on Overall versus 24.8 pct on HHEM Hallucination (Vectara).

  • Overall100 pct1,524Verify →
  • Factuality Arena100 pct1,511Verify →
  • GPQA Diamond100 pct96.4%Verify →
  • AIME (math)100 pct100.0%Verify →
  • SimpleQA Verified100 pct76.0%Verify →
  • Coding100 pct1,559Verify →
  • Instruction following100 pct1,527Verify →
  • Hard prompts100 pct1,549Verify →
  • WebDev Arena95 pct1,678Verify →
  • Agent Arena92.7 pct0.132Verify →
  • HHEM Hallucination (Vectara)24.8 pct87.9%Verify →
  • Vision ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • FrontierMathNot benchmarked
  • ARC-AGI-2Not 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
  • 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-4-argon
Context length1,048,576 tokens
Max output65,536 tokens
Acceptsaudio, file, image, text, video
Input price$2 per 1M tokens
Cached input price$0.10 per 1M tokens
Output price$10 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-4-argon","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 4 Argon (High) stands at 83 (raw mean 92) — measured on 11 of 27 axes.

    standingtemplateVerify →

  • Gemini 4 Argon (High) stands at 83 versus a cohort median of 60.6 across 168 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 →