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DeepSeek-V3.2 vs MiniMax M2

DeepSeek · released

Wins 4 of 6 areas

Coding · Reasoning · Facts · Long documents

MiniMax · released

Wins 1 of 6 areas

Following instructions

DeepSeek-V3.2 is the stronger all-rounder.MiniMax M2 is better at following instructions.

Scores updated · 38 tests both models report · How we compare

Where each one wins

Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

Long documents and following instructions rest on a single test each.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

DeepSeek-V3.2$0.28 to read · $0.42 to write$0.70Price from Artificial Analysis
MiniMax M2$0.30 to read · $1.20 to write$1.50Price from Artificial Analysis

DeepSeek-V3.2 costs 53% less for the same work.

The biggest differences

The tests each model wins by the widest margin, up to three each. Scores are out of 100.

Where DeepSeek-V3.2 pulls ahead

  • Fixes real GitHub issues in many programming languagesSWE-bench Multilingual+13.7points aheadDeepSeek-V3.270.2MiniMax M256.5
  • Very hard expert questions across many subjectsHumanity's Last Exam+10.9points aheadDeepSeek-V3.224.6MiniMax M213.7
  • Hard command-line tasks in a real terminalTerminal-Bench Hard+9.8points aheadDeepSeek-V3.235.6MiniMax M225.8

Where MiniMax M2 pulls ahead

  • Real work tasks from 44 professionsGDPVal+16.8points aheadMiniMax M226.6DeepSeek-V3.29.8
  • Follows unfamiliar, precisely checkable instructionsIFBench+11.6points aheadMiniMax M272.3DeepSeek-V3.260.7

Every test, side by side

All 38 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingDeepSeek-V3.2

Full coding ranking

AgentsEven

Full agents ranking

ReasoningDeepSeek-V3.2

Full reasoning ranking

FactsDeepSeek-V3.2

Full facts ranking

Long documentsDeepSeek-V3.2
  • AA-LCRDeepSeek-V3.2 by 973.364.3+9

Full long documents ranking

Following instructionsMiniMax M2
  • IFBenchMiniMax M2 by 11.660.772.3+11.6

Full following instructions ranking

Other results24 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, DeepSeek-V3.2 or MiniMax M2?

DeepSeek-V3.2 wins four of the six areas where both have results: coding, reasoning, facts and long documents. MiniMax M2 wins following instructions. They are level on agents.

Which is better for coding?

DeepSeek-V3.2. It wins 5 of the 5 coding tests both models report; MiniMax M2 wins none.

Which is cheaper?

DeepSeek-V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens; MiniMax M2 costs $0.30 and $1.20. That makes DeepSeek-V3.2 about 53% cheaper for the same work.

How do you compare the two?

We use the 38 benchmark tests both models have published scores on. The verdict counts the 14 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 24 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.

Compare DeepSeek-V3.2 with

DeepSeek

Across the field

All comparisons