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Llama 3.2 Instruct 90B (Vision)

open weights
Meta · released 2024-09-25 · 0 offers

Context 128K tokens

Providers

No provider publishes an API price for this model yet, so no cost can be modeled.

Composite

1 of 7 inputs6 radar axes: DesignArena's two boards share one

2.7

 Thin data · 1/7Based on only 1 of 7 Composite inputs — treat this rank as uncertain

dominance-adjusted from 4.5: a better-measured model that is at least as good on each of these inputs ranks above it

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Intelligence (est.): percentile 17

AA Coding v4.x —Coding Agent v1.4 —AA Intelligence (est.) 2.7AA Agentic —Epoch ECI —Software ECI —DesignArena —/—

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

4 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

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Knowledge

Science

Vision

  • MMMU Pro (AA)639.5%

    MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.

  • CharXiv Reasoning val-v1.04337.5%

    CharXiv Reasoning val-v1.0 → · validation — Can a multimodal model reason over the real, messy charts in scientific papers — combining values, trends and labels across a figure — rather than read off templated plots?

Missing coverage · 315 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Llama 3.2 Instruct 90B (Vision) — benchmarks & cost