Part of Best LLM for Structured Data Extraction

Best LLM for Document Parsing

Gemini 3.8 Flash is the provisional first pick for Document Parsing as of October 20, 2026, while independent task measurements are still limited.[1][2][3] It ranks #2 of 75 on LMArena Vision's OCR category (Elo 1316), based on blind human preference for reading text out of images. Gemini 3.7 Flash scores within two points, so read the top two as close rather than as a measured gap. Gemini 3.7 Flash is the next-ranked alternative. Ranks #4 on LMArena's vision arena and #5 on OCR, with strong general vision capabilities but slightly behind its sibling on text extraction specifically.

About this recommendation

Updated
Evidence through
Sources
11
Revision
v105

Decision audit

Why this result

Inspect the inputs and the computed order behind the recommendation.

Models screened

24

live candidates

Evaluation feeds

5

task-weighted

Winner coverage

37%

intended feed weight

Largest provider share

3 of 8

Google

Provisional source breadth. 1 citation families and 1 practitioner families provide attributed capability reports; 1 cautionary thread retained. The largest citation family contributes 100%.

Google: Gemini 3.8 Flash leads the measured task comparison with limited independent task measurements. Community volume, release age and usage popularity add no ranking points. The leading scores are close under this policy.

Real-world track record is still developing. The recommendation can lead on independent measurements while practitioner reports accumulate.

Sources evaluated

These are the weights used in scoring. Missing measurements are omitted from each model’s average. A feed with no result for any model released in the last 60 days is stale and does not score until it catches up.

winner: Gemini 3.8 Flash
Evaluation feedWeightWinner resultField measured
VLMEvalKit tasksdisabled; last successful check unknownunavailable
0%
feed unavailable0/24
LMArena Document
36%
not measured7/24
LMArena Vision OCRObserved 2026-10-19 · evaluation date not supplied · high effort
36%
#224/24
LMArena VisionObserved 2026-10-19 · evaluation date not supplied · high effort
27%
#824/24
Structured-output evaldisabled; last successful check unknownunavailable
0%
feed unavailable0/24

Provider concentration

Each exact model is scored separately; provider identity is not a ranking input.

Google38%
  • Google3 models
  • Anthropic2 models
  • Meta1 model
  • OpenAI1 model
  • Z.ai1 model

Decision table

Every published model is shown in computed order. Practitioner sources are distinct community threads, not the citations repeated in the prose below.

  1. Google · coverage 37% · provisional evidence

    #2 LMArena Vision OCR · #8 LMArena Vision

  2. Google · coverage 37% · close score · provisional evidence

    #4 LMArena Vision · #5 LMArena Vision OCR

  3. Meta · coverage 37% · provisional evidence

    #6 LMArena Vision · #6 LMArena Vision OCR

  4. Anthropic · coverage 58% · provisional evidence

    #2 LMArena Document · #10 LMArena Vision

  5. Anthropic · coverage 37% · provisional evidence

    #6 LMArena Vision · #8 LMArena Vision OCR

  6. OpenAI · coverage 37% · provisional evidence

    #5 LMArena Vision · #15 LMArena Vision OCR

  7. Z.ai · coverage 37% · provisional evidence

    #24 LMArena Vision · #25 LMArena Vision OCR

  8. Google · coverage 37% · provisional evidence

    #26 LMArena Vision · #26 LMArena Vision OCR

Task score averages the available, task-weighted measurements. Benchmark positions compare models matched to our catalog. Models measured by at least two independent evaluator families are considered first. Missing tests, practitioner report counts, popularity and release age add no points. Coverage describes evidence breadth, not a probability of correctness. Scores within two points are shown as close under this policy; this is not a statistical confidence interval. When the leading scores are that close, the model measured by more evaluator families ranks first.

  1. 01

    Gemini 3.8 FlashGoogle · $0.83 in / $4.13 out per M tokens · 1.0M context

    Gemini 3.8 Flash ranks #2 of 75 on LMArena Vision's OCR category (Elo 1316), based on blind human preference for reading text out of images.

    Best when: Its strongest result for this task is on LMArena Vision OCR, which measures reading text out of images and scans.
    Source 1
    “Within the 75 catalog models matched to this evaluation: Ranks #2 of 75 on LMArena Vision's OCR category (Elo 1316), based on blind human preference for reading text out of images.”
    LMArena Vision OCROpen original ↗
  2. 02

    Gemini 3.7 FlashGoogle · $0.75 in / $3.75 out per M tokens · 1.0M context

    Ranks #4 on LMArena's vision arena and #5 on OCR, with strong general vision capabilities but slightly behind its sibling on text extraction specifically.

    Best when: Deploy for general document understanding tasks that balance OCR with broader image comprehension, given its #4 ranking in vision arena human preference.
    Source 2
    “Within the 81 catalog models matched to this evaluation: Ranks #4 of 81 on LMArena's vision arena (Elo 1295), based on human preference on image-understanding tasks.”
    LMArena vision arenaOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  3. 03

    Muse Spark 1.2Meta · $1.25 in / $4.25 out per M tokens · 1.0M context

    Ranks #6 on both LMArena's vision arena and OCR category, showing consistent performance across visual document tasks.

    Best when: Use as a balanced option for mixed document types where both layout understanding and text extraction matter equally.
    Source 5
    “Within the 81 catalog models matched to this evaluation: Ranks #6 of 81 on LMArena's vision arena (Elo 1293), based on human preference on image-understanding tasks.”
    LMArena vision arenaOpen original ↗
    Source 6
    “Within the 75 catalog models matched to this evaluation: Ranks #6 of 75 on LMArena Vision's OCR category (Elo 1307), based on blind human preference for reading text out of images.”
    LMArena Vision OCROpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  4. 04

    Claude Fable 5.1Anthropic · $10 in / $50 out per M tokens · 1M context

    Claude Fable 5.1 ranks #2 of 34 on LMArena's document arena (score 1513), based on blind preference for document tasks.

    Best when: Its strongest result for this task is on LMArena Document, which measures answering questions about uploaded documents.
    Source 7
    “Within the 34 catalog models matched to this evaluation: Ranks #2 of 34 on LMArena's document arena (score 1513), based on blind preference for document tasks.”
    LMArena document arenaOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  5. 05

    Claude Opus 5.5Anthropic · $4 in / $20 out per M tokens · 1M context

    Claude Opus 5.5 ranks #6 of 81 on LMArena's vision arena (Elo 1293), based on human preference on image-understanding tasks.

    Best when: Its strongest result for this task is on LMArena Vision, which measures reading images, screenshots, and documents.
    Source 8
    “Within the 81 catalog models matched to this evaluation: Ranks #6 of 81 on LMArena's vision arena (Elo 1293), based on human preference on image-understanding tasks.”
    LMArena vision arenaOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  6. 06

    GPT-6.1 SolOpenAI · $2 in / $10 out per M tokens · 1.1M context

    Ranks #5 on LMArena's vision arena but drops to #15 on OCR, suggesting stronger general image understanding than text extraction specifically.

    Best when: Use for documents with complex visual layouts, charts, or non-text elements where general vision ranking (#5) matters more than pure OCR.
    Source 9
    “Within the 81 catalog models matched to this evaluation: Ranks #5 of 81 on LMArena's vision arena (Elo 1294), based on human preference on image-understanding tasks.”
    LMArena vision arenaOpen original ↗

    Watch out for

    • Verify OCR output carefully on dense text documents; its #15 OCR ranking indicates weaker performance on text extraction specifically.
      Source 10
      “Within the 75 catalog models matched to this evaluation: Ranks #15 of 75 on LMArena Vision's OCR category (Elo 1297), based on blind human preference for reading text out of images.”
      LMArena Vision OCROpen original ↗
  7. 07

    GLM 5.3 FlashZ.ai · $0.047 in / $0.16 out per M tokens · 1.0M context · open-weight

    GLM 5.3 Flash ranks #24 of 81 on LMArena's vision arena (Elo 1271), based on human preference on image-understanding tasks.

    Best when: Its strongest result for this task is on LMArena Vision, which measures reading images, screenshots, and documents.
    Source 4
    “Within the 81 catalog models matched to this evaluation: Ranks #24 of 81 on LMArena's vision arena (Elo 1271), based on human preference on image-understanding tasks.”
    LMArena vision arenaOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  8. 08

    Gemini 3.5 Flash LiteGoogle · $0.30 in / $2.50 out per M tokens · 1.0M context

    Gemini 3.5 Flash Lite ranks #26 of 75 on LMArena Vision's OCR category (Elo 1282), based on blind human preference for reading text out of images.

    Best when: Its strongest result for this task is on LMArena Vision OCR, which measures reading text out of images and scans.
    Source 11
    “Within the 75 catalog models matched to this evaluation: Ranks #26 of 75 on LMArena Vision's OCR category (Elo 1282), based on blind human preference for reading text out of images.”
    LMArena Vision OCROpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

Frequently asked

What is the best model for Document Parsing?
Gemini 3.8 Flash ranks first as of October 20, 2026. Gemini 3.8 Flash ranks #2 of 75 on LMArena Vision's OCR category (Elo 1316), based on blind human preference for reading text out of images.[1]
What is the best alternative to Gemini 3.8 Flash?
Gemini 3.7 Flash ranks second. Ranks #4 on LMArena's vision arena and #5 on OCR, with strong general vision capabilities but slightly behind its sibling on text extraction specifically.[2][3]
Which open-weight model ranks highest for Document Parsing?
GLM 5.3 Flash is the highest-ranked open-weight model, at #7. GLM 5.3 Flash ranks #24 of 81 on LMArena's vision arena (Elo 1271), based on human preference on image-understanding tasks.[4]

Sources

  1. 1

    “Within the 75 catalog models matched to this evaluation: Ranks #2 of 75 on LMArena Vision's OCR category (Elo 1316), based on blind human preference for reading text out of images.”

    LMArena Vision OCR · Benchmark · Oct 19, 2026
  2. 2

    “Within the 81 catalog models matched to this evaluation: Ranks #4 of 81 on LMArena's vision arena (Elo 1295), based on human preference on image-understanding tasks.”

    LMArena vision arena · Benchmark · Oct 19, 2026
  3. 3

    “Within the 75 catalog models matched to this evaluation: Ranks #5 of 75 on LMArena Vision's OCR category (Elo 1308), based on blind human preference for reading text out of images.”

    LMArena Vision OCR · Benchmark · Oct 19, 2026
  4. 4

    “Within the 81 catalog models matched to this evaluation: Ranks #24 of 81 on LMArena's vision arena (Elo 1271), based on human preference on image-understanding tasks.”

    LMArena vision arena · Benchmark · Oct 19, 2026
  5. 5

    “Within the 81 catalog models matched to this evaluation: Ranks #6 of 81 on LMArena's vision arena (Elo 1293), based on human preference on image-understanding tasks.”

    LMArena vision arena · Benchmark · Oct 19, 2026
  6. 6

    “Within the 75 catalog models matched to this evaluation: Ranks #6 of 75 on LMArena Vision's OCR category (Elo 1307), based on blind human preference for reading text out of images.”

    LMArena Vision OCR · Benchmark · Oct 19, 2026
  7. 7

    “Within the 34 catalog models matched to this evaluation: Ranks #2 of 34 on LMArena's document arena (score 1513), based on blind preference for document tasks.”

    LMArena document arena · Benchmark · Sep 13, 2026
  8. 8

    “Within the 81 catalog models matched to this evaluation: Ranks #6 of 81 on LMArena's vision arena (Elo 1293), based on human preference on image-understanding tasks.”

    LMArena vision arena · Benchmark · Oct 19, 2026
  9. 9

    “Within the 81 catalog models matched to this evaluation: Ranks #5 of 81 on LMArena's vision arena (Elo 1294), based on human preference on image-understanding tasks.”

    LMArena vision arena · Benchmark · Oct 19, 2026
  10. 10

    “Within the 75 catalog models matched to this evaluation: Ranks #15 of 75 on LMArena Vision's OCR category (Elo 1297), based on blind human preference for reading text out of images.”

    LMArena Vision OCR · Benchmark · Oct 19, 2026
  11. 11

    “Within the 75 catalog models matched to this evaluation: Ranks #26 of 75 on LMArena Vision's OCR category (Elo 1282), based on blind human preference for reading text out of images.”

    LMArena Vision OCR · Benchmark · Oct 19, 2026

Rankings synthesized from community evidence and open benchmarks. See methodology. Not driven by vendor marketing.