Gemini 4 Argon vs MiMo-V2.6-Pro

  • Gemini 4 Argon rates higher on LMArena’s text leaderboard: 1526 against 1491.
  • MiMo-V2.6-Pro is cheaper: $0.43 / $0.87 per million input / output tokens, against $2 / $10 for Gemini 4 Argon.
  • MiMo-V2.6-Pro has the longer context window: 1.1M tokens against 1M.
  • On the 11 Vals AI benchmarks both have taken, Gemini 4 Argon wins 11 and MiMo-V2.6-Pro wins 0.
LMArena text rating over time
14801485149014951500Sep 25Oct 1Oct 8Oct 15Oct 22
LatestMiMo-V2.6-Pro 1491

Side by side

Models (2/6)
  • Gemini 4 Argon
  • MiMo-V2.6-Pro
BenchmarkGemini 4 ArgonMiMo-V2.6-Pro
The model
LabGoogleXiaomi
Released2026-10-132026-09-21
WeightsProprietaryOpen
Context window1M1.1M
Input, per 1M tokens$2$0.43
Output, per 1M tokens$10$0.87
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1526#1 of 3511491#11 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1674#11 of 1241625#23 of 124
LMArena VisionSide-by-side votes on prompts that include an image—1263#53 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1539#2 of 3461533#5 of 346
LMArena MathLMArena’s text votes on math prompts1538#1 of 3391500#16 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1523#2 of 3491466#20 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1538#1 of 3511511#8 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1528#2 of 3511491#12 of 351
Vals AI, overall
Vals IndexVals AI’s headline score69.24%#3 of 2757.81%#14 of 27
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal57.58%#7 of 5531.31%#21 of 55
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works91.91%#2 of 11585.22%#15 of 115
Code MigrationRewriting working programs in a new language, graded on whether the new program still passes its tests70.80%#6 of 2848.79%#16 of 28
Vals AI, finance
Finance AgentThe core tasks of a financial analyst, done as an agent with research tools67.66%#2 of 3164.26%#10 of 31
Finance IndexVals AI’s composite of finance tasks64.89%#2 of 3157.85%#12 of 31
Tax Agent BenchAgentic research into US corporate tax questions44.56%#5 of 7632.39%#19 of 76
Vals AI, law
Legal IndexVals AI’s composite of legal tasks76.72%#2 of 2872.14%#8 of 28
Legal Research BenchAgentic US legal research54.81%#4 of 8547.12%#15 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes58.80%#3 of 10744.97%#39 of 107
Vals AI, reasoning
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal44.29%#5 of 422.86%#33 of 42

Add models in the compare tool. Vals Index: Gemini 4 Argon 69.24%, MiMo-V2.6-Pro 57.81%.

Questions

Which is better, Gemini 4 Argon or MiMo-V2.6-Pro?

Gemini 4 Argon rates higher on LMArena’s text leaderboard: 1526 against 1491. MiMo-V2.6-Pro is cheaper: $0.43 / $0.87 per million input / output tokens, against $2 / $10 for Gemini 4 Argon. MiMo-V2.6-Pro has the longer context window: 1.1M tokens against 1M. On the 11 Vals AI benchmarks both have taken, Gemini 4 Argon wins 11 and MiMo-V2.6-Pro wins 0.

Which is cheaper, Gemini 4 Argon or MiMo-V2.6-Pro?

MiMo-V2.6-Pro is cheaper: $0.43 / $0.87 per million input / output tokens, against $2 / $10 for Gemini 4 Argon.

Sources

Every number on this page comes from these sources; models without a published number show none. Download the data. Cite as “Nexus Explorer, nexus.inc/models”.