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aiqbench

xAI · model passport

SpaceXAI: Grok 4.3

grok-4-3
  • Cloud only
  • Proprietary licence
  • 1,000,000 context
  • Released 2026-10-09(first seen on LMArena)
13/27axes covered
Overall · LMArena
1,442#83 of 396
Best percentile
100.0IFBench (Artificial Analysis)
Cohort standing
61.0median 60.6

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

  • 100 pct — IFBench (Artificial Analysis) (83.3%)

Uneven: 74.1 percentile points between its best and worst axis — 100 pct on IFBench (Artificial Analysis) versus 25.9 pct on WebDev Arena.

  • IFBench (Artificial Analysis)100 pct83.3%Verify →
  • Overall79.3 pct1,442Verify →
  • GPQA Diamond78.3 pct88.8%Verify →
  • Coding77.5 pct1,488Verify →
  • AIME (math)77 pct93.3%Verify →
  • Hard prompts76 pct1,456Verify →
  • Instruction following72.5 pct1,415Verify →
  • LiveBench67 pct62.2%Verify →
  • Vision Arena64 pct1,243Verify →
  • Search Arena42.9 pct1,193Verify →
  • Factuality Arena36 pct1,427Verify →
  • SimpleQA Verified29.3 pct33.2%Verify →
  • WebDev Arena25.9 pct1,358Verify →
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • FrontierMathNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot 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
  • 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 IDx-ai/grok-4.3
Context length1,000,000 tokens
Max output900,000 tokens
Acceptstext, image, file
Input price$1.25 per 1M tokens
Cached input price$0.20 per 1M tokens
Output price$2.50 per 1M tokens

API parameters this endpoint supports

Include reasoningLogprobsMax tokensReasoningReasoning effortResponse formatSeedStructured outputsTemperatureTool choiceTool callingTop logprobsTop-p

Example request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"x-ai/grok-4.3","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.

  • grok-4.3 stands at 61 (raw mean 63.5) — measured on 13 of 27 axes.

    standingtemplateVerify →

  • grok-4.3 stands at 61 versus a cohort median of 60.6 across 171 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 →