priorsBuilder
Support

Settings

Theme

Explore themes

Mode

Library

Looks borrowed from benchmark sites and products. Themes with a light and a dark version follow your mode.

Bring your own theme

Upload a Priors theme file, or have your agent make one: copy the prompt, tell it the look you want, and upload what it returns. With the Priors skill installed it already knows the format.

Custom themes stay in this browser. They travel inside shared chart links and a page's theme, so others see them as you do.

For the builder, Explore and model pages on this device. Published pages keep the theme their owner picked.

Mode

MiniMax · released 2026-10-19

MiniMax M3.1

Measured on 83 benchmarks.

29.1

#30 of 68 models · best at max

Strengths

  • MiniMax M3.1
  • Gemini 4 Carbon (#1)
  • Field median
bestField medianFrontierCode 2.0-…Terminal-Bench v4…AA-Briefcase v1.1AutomationBench-AATerminal-Bench-Sc…HLE-DiamondCritPt v2 Hard Su…AA-Omniscience v1…AA-Omniscience v1…GDP.pdf
  1. FrontierCode 2.0-AA15%20.8%#30 of 68
  2. Terminal-Bench v4-AA10%25.8%#29 of 68
  3. AA-Briefcase v1.115%1476#28 of 68
  4. AutomationBench-AA5%72.5%#4 of 68
  5. Terminal-Bench-Science-AA15%3.3%#39 of 68
  6. HLE-Diamond10%28.1%#22 of 68
  7. CritPt v2 Hard Subset10%32.5%#31 of 68
  8. AA-Omniscience v1.1 Accuracy10%45.1%#18 of 68
  9. AA-Omniscience v1.1 Non-hallucination5%6.3%#67 of 68
  10. GDP.pdf5%20.8%#25 of 68

Bars show where MiniMax M3.1 sits among the 68 ranked models on each benchmark (right is best); the tick is the field median.

Cost and speed

against 68 ranked models

Cost per task

#34 cheapest of 50

$0.49at max

Time per task

#31 quickest of 49

19 minat max

Output speed

#17 fastest of 60

124 tok/sat max

Time to first token

#9 quickest of 60

1.7sat max

Output tokens per task

#45 fewest of 53

138kat max

Time per task: Artificial Analysis · computed, not timed: output tokens per Intelligence Index task divided by output speed, without tool time. Method changed Nov 4, 2026.

Token price

$0.021 per 1M tokens at API prices

97.0% cache read · 2.50% fresh input · 0.00% cache write · 0.50% output

Assumed mix: no measured T3 Code usage for this model.

This ranking’s benchmarks

10 of 10 measured

agentic

AutomationBench-AA

245 results
  1. #5max of 24572.5%

Leader: Gemini 4 Carbon · 77.8%

agentic

AA-Briefcase v1.1

250 results
  1. #51max of 2501476

Leader: Sonnet 5.5 · 1813

reasoning

CritPt v2 Hard Subset

116 results
  1. #62max of 11632.5%

Leader: GPT-6 Astra · 72.0%

coding

FrontierCode 2.0-AA

113 results
  1. #55max of 11320.8%

Leader: Opus 5.5 · 46.4%

economics

GDP.pdf

243 results
  1. #72max of 24320.8%

Leader: Muse Wonder Full · 32.6%

reasoning

HLE-Diamond

153 results
  1. #48max of 15328.1%

Leader: Gemini 4 Carbon · 69.1%

knowledge

AA-Omniscience v1.1 Accuracy

123 results
  1. #45max of 12345.1%

Leader: Fable 5.1 · 68.4%

knowledge

AA-Omniscience v1.1 Non-hallucination

123 results
  1. #120max of 1236.3%

Leader: Gemini 4 Carbon · 95.8%

reasoning

Terminal-Bench-Science-AA

126 results
  1. #79max of 1263.3%

Leader: Gemini 4 Carbon · 64.8%

coding

Terminal-Bench v4-AA

241 results
  1. #66max of 24125.8%

Leader: Kimi K3.1 · 67.2%

All 83 benchmarks

show 73 more