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Gemini 4 Argon vs Qwen3.8 Max

Published test results, prices, limits and features, side by side. Share the link to show someone exactly this comparison.

At a glance

  • Capability index

    • Gemini 4 Argon164.6
    • Qwen3.8 Max156.9

    Gemini 4 Argon is 7.7 points higher.

  • Price per 1M tokens

    • Gemini 4 Argon$4.00
    • Qwen3.8 Max$3.00

    Qwen3.8 Max is 25% cheaper.

  • Context window

    • Gemini 4 Argon1M tokens
    • Qwen3.8 Max1M tokens

    They take in about the same.

  • Released

    • Gemini 4 ArgonOct 13, 2026
    • Qwen3.8 MaxAug 3, 2026

    Gemini 4 Argon is 2 months newer.

Where each scores higher

On the 13 tests both have taken, each on its own scale. A gap of a point or two can sit within a test’s margin of error.

Gemini 4 Argon

  • Arena text+43 points
  • Arena WebDev+6 points
  • Arena coding+38 points
  • Mock AIME 2024–2025+0.6 points
  • FrontierMath Tiers 1–3+11.2 points
  • FrontierMath Tier 4+31.7 points
  • Arena math+29 points
  • SimpleQA Verified+30.2 points
  • Arena creative writing+46 points
  • Arena instruction following+54 points
  • GPQA Diamond+3.7 points
  • Chess puzzles+13.0 points
  • Arena hard prompts+47 points

Qwen3.8 Max

No shared test where it scores higher.

10 more tests have results for only one of them; the table below lists every result.

Everything side by side

Comparison of Gemini 4 Argon vs Qwen3.8 Max
MeasureGemini 4 ArgonGoogleQwen3.8 MaxAlibaba
Model
MakerGoogleAlibaba
Sold here byGoogleAlibaba
API model IDgemini-4-argonqwen3.8-max
ReleasedOct 13, 2026Aug 3, 2026
Knowledge cutoffMar 2026Not reported
WeightsClosed: hosted access onlyClosed: hosted access only
Developer’s countryUnited StatesChina
Hosts selling it24including Google directly38including Alibaba directly
Test results
Capability index164.6 (best of these models)#5 of 277156.9#20 of 277
Arena text1525 (best of these models)#1 of 4151482#24 of 415
LiveBench overallNot tested78.5%#18 of 70
Arena WebDev1678 (best of these models)#9 of 1421672#11 of 142
Arena coding1561 (best of these models)#1 of 4101523#30 of 410
LiveBench codingNot tested72.9%#56 of 70
Mock AIME 2024–2025100.0% (best of these models)#1 of 30399.4%#15 of 303
FrontierMath Tiers 1–386.0% (best of these models)#10 of 11774.7%#20 of 117
FrontierMath Tier 478.0% (best of these models)#15 of 7346.3%#26 of 73
Arena math1529 (best of these models)#1 of 4001500#18 of 400
LiveBench mathematicsNot tested91.3%#30 of 70
SimpleQA Verified76.0% (best of these models)#1 of 9045.8%#38 of 90
CursorBench52.9%#6 of 71Not tested
LiveBench agentic codingNot tested64.7%#7 of 70
DeepSWENot tested57.5%#36 of 69
Arena creative writing1516 (best of these models)#2 of 4131471#16 of 413
Arena instruction following1528 (best of these models)#1 of 4151475#28 of 415
LiveBench languageNot tested79.7%#35 of 70
LiveBench instructionsNot tested74.1%#13 of 70
LiveBench data analysisNot tested78.4%#25 of 70
GPQA Diamond96.4% (best of these models)#1 of 32392.7%#25 of 323
Chess puzzles59.0% (best of these models)#9 of 24346.0%#28 of 243
Arena hard prompts1550 (best of these models)#1 of 4151503#28 of 415
LiveBench reasoningNot tested88.2%#24 of 70
Price per million tokens
Input$2.00$2.00
Output$10.00$6.00 (best of these models)
Blended, 3 input to 1 output$4.00$3.00 (best of these models)
Cached input$0.10 (best of these models)$0.25
Writing to the cacheNot reported$2.50
Audio input$2.00Not reported
The maker’s own priceThis listingThis listing
Limits
Context window1M tokens1M tokens
Max input1M tokens (best of these models)991K tokens
Max output32.8K tokens131.1K tokens (best of these models)
Features
Readsaudio, images, PDFs, text and videoimages, PDFs, text and video
Producestexttext
ReasoningYeseffort low, medium, highYeseffort low, medium, xhigh; can be switched off; thinking budget can be set
Tool callingYesYes
Structured outputYes, such as JSONYes, such as JSON
File attachmentsYesYes
Temperature settingSupportedSupported

Bold marks the better value in each row. Prices are each model’s own list price, or the middle price across hosts when the maker does not sell it, blended as three input tokens for every output token. Test results as published by LiveBench (Apache-2.0), Epoch AI (CC BY 4.0), Datacurve DeepSWE, compiled by Epoch AI (CC BY 4.0), Cursor CursorBench, compiled by Epoch AI (CC BY 4.0), Arena (CC BY 4.0); model details and prices from models.dev (MIT). Confirm pricing with the provider before use.